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  • 51.
    Natraj, Shailendra
    Blekinge Institute of Technology, School of Computing.
    An Empirical Evaluation & Comparison of Effectiveness & Efficiency of Fault Detection Testing Techniques2013Independent thesis Advanced level (degree of Master (Two Years))Student thesis
    Abstract [en]

    Context: The thesis is the analysis work of the replication of software experiment conducted by Natalia and Sira at Technical University of Madrid, SPAIN. The empirical study was conducted for the verification and validation of experimental data, and to evaluate the effectiveness and efficiency of the testing techniques. The analysis blocks, considered for the analysis were observable fault, failure visibility and observed faults. The statistical data analysis involved the ANOVA and Classification package of SPSS. Objective: To evaluate and compare the result obtained from the statistical data analysis. To establish the verification and validation of effectiveness and efficiency of testing techniques by using ANOVA and Classification tree analysis for percentage subject, percentage defect-subject and values (Yes / No) for each of the blocks. RQ1: Empirical evaluation of effectiveness of fault detection testing technique, using data analysis (ANOVA and Classification tree package). For the blocks (observable fault, failure visibility and observed faults) using ANOVA and Classification tree. RQ2: Empirical evaluation of efficiency of fault detection technique, based on time and number of test cases using ANOVA. RQ3: Comparison and inference of the obtained results for both effectiveness and efficiency. Method:The research will be focused on the statistical data analysis to empirically evaluate the effectiveness and efficiency of the fault detection technique for the experimental data collected at UPM (Technical university of Madrid, SPAIN). Empirical Strategy Used: Software Experiment. Results: Based on the planned research work. The analysis result obtained for the observable fault types were standardized (Ch5). Within the observable fault block, both the techniques, functional and structural were equally effective. In the failure visibility block, the results were partially standardized. The program types nametbl and ntree were equally effective in fault detection than cmdline. The result for observed fault block was partially standardized and diverse. The list for significant factors in this blocks were program types, fault types and techniques. In the efficiency block, the subject took less time in isolating the fault in the program type cmdline. Also the efficiency in fault detection was seen in cmdline with the help of generated test cases. Conclusion:This research will help the practitioners in the industry and academic in understanding the factors influencing the effectiveness and efficiency of testing techniques.This work also presents a comprehensive analysis and comparison of results of the blocks observable fault, failure visibility and observed faults. We discuss the factors influencing the efficiency of the fault detection techniques.

  • 52.
    Nilsson, Daniel
    et al.
    Blekinge Institute of Technology, School of Computing.
    Åberg, Hampus
    Blekinge Institute of Technology, School of Computing.
    HTML5 Web application security with OWASP2013Independent thesis Basic level (degree of Bachelor)Student thesis
    Abstract [en]

    HTML5 has gained a lot of interest the last couple of years from web developers. HTML5 is the new upcoming standard for HTML set to be released in the end of 2014 (W3C). In this report HTML5 is reviewed in order to determine if it has made web applications more secure. This is done with information study and the use of experimental test cases. We use the latest OWASP top ten list of security risks in web applications as a benchmark. As a result we found ve correlations between OWASP top ten list and HTML5 functionality. The results clearly indicates that HTML5 is a ecting web application security. The security risks that was successfully exploited is Cross-site scripting, Security Miscon guration, Sensitive Data Exposure, Cross-site request forgery and Unvalidated redirects and forwards. We suggest countermeasures for the tests performed and discuss how developers should have security in mind when it comes to developing with HTML5.

  • 53.
    Norling, Sebastian
    Blekinge Institute of Technology, School of Computing.
    En säkerhetsgranskning av Secure Application Framework2013Independent thesis Basic level (degree of Bachelor)Student thesis
    Abstract [en]

    Företaget Wireless Independent Provider (WIP) har tagit fram ett säkerhetsramverk vid namn Secure Application Framework (SAF) som är ett väldokumenterat ramverk för att skapa säkra interna företagsappar. Syftet med detta ramverk är att lösa problematiken kring Bring Your Own Device (BYOD) – hur man ska skilja på privat data och företagets data i enheten. Med ett sådant system så finns det mycket att tänka på rörande säkerheten. Genom att identifiera ett antal olika hot och genomföra en riskanalys på dessa kommer man fram till att systemet är skyddat mot majoriteten av hoten, det finns dock förslag till förbättringar på enstaka delar av systemet. Det genomförs även prestandatester och undersökning av lavineffekten för ett antal olika symmetriska krypteringsalgoritmer i syfte att fastslå om den använda algoritmen i systemet har fördelar jämfört med andra moderna krypteringsalgoritmer. Utifrån resultaten som tagits fram i detta arbete så konstateras det att skyddet mot de identifierade hoten är mycket bra samt att det inte finns någonting som skulle motivera ett byte av den symmetriska krypteringsalgoritmen.

  • 54.
    Norrakarnkorn, Wannee
    Blekinge Institute of Technology, School of Computing.
    Challenges and Recommendations in Software Product Transfers: Receiving Site’s Perspective2013Independent thesis Advanced level (degree of Master (Two Years))Student thesis
    Abstract [en]

    Context: Software transfer is one of the approaches to globalize software development that prescribes transferring a software product from an original development site to another site. This approach is challenged by transferring knowledge from experienced people to inexperienced people. Therefore, the identified challenges and recommendations related to software transfer are vital to a successful software transfer project. Objectives: The main aim of this study is to identify recommendations for transferring software products for further maintenance from receiving site’s perspective. This is achieved by an in-depth understanding of the staged model for the software life cycle, the differences of software transfer type, how software transfers impact software evolvability, and the challenges at the receiving sites after transfers. Methods: In order to fulfill the aim and objectives of the research, the author of this thesis collected data through a literature review and conducted interviews with 10 developers, who were involved in software transfer projects in three different international companies – 6 developers from Alpha company, 3 developers from Beta company, and 1 developer from Gamma company. Through the literature review, the author of this thesis found 35 primary studies relevant to research objectives. For analyzing the data, the author of this thesis used Strauss and Corbin’s open coding and axial coding techniques. Results: In total, 15 challenges for the receiving sites in maintaining transferred software products were identified and placed in 8 categories. Three factors that trigger changes from one product maintenance stage to another were identified. 19 recommendations for planning to transfer a software product were derived from challenges and factors found. These challenges, factors, and recommendations are elaborated in this report. Conclusions: The results of this study both validate and extend current knowledge of software product transfer. There should be more empirical research performed on after transfer period of software product transfer to identify the challenges and recommendations associated with transferring software products. However, the results of this study should be beneficial for companies when transferring software products to remote sites within company.

  • 55.
    Novikova, Jekaterina
    Blekinge Institute of Technology, School of Computing.
    Generic Cognitive Architecture for Real-Time, Embedded Cognitive Systems2011Independent thesis Advanced level (degree of Master (One Year))Student thesis
    Abstract [en]

    The problem of integrated cognition , analyzed in the thesis, belongs to a multi-disciplinary area of cognitive engineering. The multi-disciplinary focusing on cognitive models and real-time embedded systems, such as mobile robots, helps to reveal a broader and deeper understanding of robotics as part of everyday life and society. Over the past decades many cognitive architectures have been proposed and steadily developed, based on different approaches and methodologies, but still current cognitive architectures are far from the goal of covering the requirements for general intelligence. Recent research in the area of evolutionary algorithms and genetic programming is used in this study as an inspiration for developing the new version of integrated cognitive architecture, and the knowledge of human brain structure and functions is applied to the architecture as well. In this study a survey of cognitive architectures is performed, a version of biologically inspired hybrid cognitive architecture is developed. This architecture is influenced by a contemporary research in evolutionary algorithms and genetic programming. Some modules of the architecture are applied to a mobile robot in a simulated environment.

  • 56.
    Nylén, Håkan
    Blekinge Institute of Technology, School of Computing.
    PHP Framework Performance for Web Development2012Independent thesis Basic level (degree of Bachelor)Student thesis
    Abstract [en]

    [Context] PHP Frameworks, such as CakePHP and Codei- gniter, have become popular among developers, since they offer ease of development save time and provide already made libraries to use. Considering that more and more websites are built using these frameworks it is important to know how they impact the performance of the website. Comparing the two top frameworks with each other can shed some light on what the performance looks like today on the web with PHP as its base. [Problem] Visitors nowadays have less patience to wait for a website to load. Meanwhile, PHP Framework has become known among developers, but the part of the performance that reduces the load time even more so visitors can surf without any problems, is missing. Therefore, it is a good idea to try to discover how the performance of the PHP Framework can change and improve the visitor experience. [Con- tribution] In this paper is a description of one of the first performance experiments on PHP Frameworks. It can help people make the right de- cision regarding PHP Framework in the future. The lack of data in this area is also one of the decisions to make this paper as well.

  • 57.
    Oketunji, Temitope
    et al.
    Blekinge Institute of Technology, School of Computing.
    Omodara, Olalekan
    Blekinge Institute of Technology, School of Computing.
    Design of Data Warehouse and Business Intelligence System: A case study of Retail Industry2011Independent thesis Advanced level (degree of Master (One Year))Student thesis
    Abstract [en]

    Business Intelligence (BI) concept has continued to play a vital role in its ability for managers to make quality business decision to resolve the business needs of the organization. BI applications comes handy which allows managers to query, comprehend, and evaluate existing data within their organizations in order to obtain functional knowledge which then assist them in making improved and informed decisions. Data warehouse (DW) is pivotal and central to BI applications in that it integrates several diverse data sources, mainly structured transactional databases. However, current researches in the area of BI suggest that, data is no longer always presented in only to structured databases or format, but they also can be pulled from unstructured sources to make more power the managers’ analysis. Consequently, the ability to manage this existing information is critical for the success of the decision making process. The operational data needs of an organization are addressed by the online transaction processing (OLTP) systems which is important to the day-to-day running of its business. Nevertheless, they are not perfectly suitable for sustaining decision-support queries or business questions that managers normally needs to address. Such questions involve analytics including aggregation, drilldown, and slicing/dicing of data, which are best supported by online analytical processing (OLAP) systems. Data warehouses support OLAP applications by storing and maintaining data in multidimensional format. Data in an OLAP warehouse is extracted and loaded from multiple OLTP data sources (including DB2, Oracle, SQL Server and flat files) using Extract, Transfer, and Load (ETL) tools. This thesis seeks to develop DW and BI system to support the decision makers and business strategist at Crystal Entertainment in making better decision using historical structured or unstructured data.

  • 58.
    Osekowska, Ewa
    et al.
    Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science and Engineering.
    Johnson, Henric
    Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science and Engineering.
    Carlsson, Bengt
    Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science and Engineering.
    Maritime vessel traffic modeling in the context of concept drift2017In: Transportation Research Procedia, Elsevier, 2017, Vol. 25, p. 1457-1476Conference paper (Refereed)
    Abstract [en]

    Maritime traffic modeling serves the purpose of extracting human-readable information and discovering knowledge in the otherwise illegible mass of traffic data. The goal of this study is to examine the presence and character of fluctuations in maritime traffic patterns. The main objective is to identify such fluctuations and capture them in terms of a concept drift, i.e., unforeseen shifts in statistical properties of the modeled target occurring over time. The empirical study is based on a collection of AIS vessel tracking data, spanning over a year. The scope of the study limits the AIS data area to the Baltic region (9-31°E, 53-66°N), which experiences some of the most dense maritime traffic in the world. The investigations employ a novel maritime traffic modeling method based on the potential fields concept, adapted for this study to facilitate the examination of concept drift. The concept drift is made apparent in course of the statistical and visual analysis of the experimental results. This study shows a number of particular cases, in which the maritime traffic is affected by concept drifts of varying extent and character. The visual representations of the traffic models make shifts in the traffic patterns apparent and comprehensible to human eye. Based on the experimental outcomes, the robustness of the modeling method against concept drift in traffic is discussed and improvements are proposed. The outcomes provide insights into regularly reoccurring drifts and irregularities within the traffic data itself that may serve to further optimize the modeling method, and - in turn - the performance of detection based on it. © 2017 The Authors. Published by Elsevier B. V.

  • 59.
    Owoseni, Adebowale
    et al.
    Blekinge Institute of Technology, School of Computing.
    Imhanyehor, Germaine
    Blekinge Institute of Technology, School of Computing.
    User Involvement in In-house Developed Software: Case Study of a Nigerian Financial Institution2011Independent thesis Advanced level (degree of Master (One Year))Student thesis
    Abstract [en]

    Over the years, researchers have argued that user friendly and result oriented systems were not necessarily products of participatory user involvement; however there is a degree of user involvement required in the development process of any Information System. The aim of this research is to discover the level of user involvement in in-house software development process in All Nigerian Bank (ANB). We use two research methods - survey and process observation. A survey was conducted for 107 end users and 10 developers (programmers) of 5 selected in-house developed software solutions; we complement our survey with an active observation of a typical software development process. Relative to the five in-house software solutions studied in our reseach; our study reveals that user involvement in the development process on the whole for these five solutions has been 8% participative, 18% representative, 33% consultative and 41% informative. 67% of end user respondents agreed that these specific in-house developed solutions are user friendly while 62% said solutions meet business needs. This result is a clustered representation of the 5 cases as a way of exploring the “normal in-house development process” in ANB We conclude that the level of user involvement relative to business needs and user friendliness is a reflection of a number of factors which include ANB’s business strategy, organizational culture and politics; other factors include weak Nigerian labour laws, low ethical standards and high unemployment rate.

  • 60.
    Panneerselvam, Praveen Jelish
    Blekinge Institute of Technology, School of Computing.
    Design of smart grid interfaces, Focusing of smart TVs2013Independent thesis Advanced level (degree of Master (Two Years))Student thesis
    Abstract [en]

    Smart Grid research is growing around the world due to the need to replace the ageing old electricity grid with an intelligent, reliable electricity network. The smart grid aims at creating a reliable power distribution and efficient power usage in homes. One of the key issues focused in this project is providing real time energy feedback to users, which is minimal or non-existent in the current grid system. This thesis investigates about using smart TVs to provide real time energy feedback in homes. Since its introduction in 2009 smart TVs are growing in popularity in European market. To provide real time energy feedback on smart TVs three features are identified Smart TV application, ambilighting and push notification. The Human-centered design process is used for designing the Smart TV interface system using the identified features. A literature study is conducted to gather the user requirements for the smart TV interface. The information gathered during the study is used for the design and implementation of the interface prototype. As an example platform the Philips smart TV 2013 is chosen to demonstrate the various features that can be used to provide energy feedback. The usability of the Smart TV interface is evaluated with users and the results are recorded. The smart TV application, ambient lighting and push notification system in Smart TVs is demonstrated for providing real-time energy feedback. The interface is evaluated with users and results are discussed. The result suggests that Smart TVs can serve as an informational display in homes. The Smart TV interface should be interlinked with Smart Phone and Tablet applications to be effective, further the users prefer the Smart Phone over the Smart TV application to control the household devices.

  • 61. Peltonen, L.-M.
    et al.
    Topaz, M.
    Ronquillo, C.
    Pruinelli, L.
    Sarmiento, R.F.
    Badger, M.K.
    Ali, S.
    Lewis, A.
    Georgsson, Mattias
    Blekinge Institute of Technology, Faculty of Computing, Department of Creative Technologies.
    Jeon, E.
    Tayaben, J.L.
    Kuo, C.-H.
    Islam, T.
    Sommer, J.
    Jung, H.
    Eler, G.J.
    Alhuwail, D.
    Nursing informatics research priorities for the future: Recommendations from an international survey2016In: NURSING INFORMATICS 2016: EHEALTH FOR ALL: EVERY LEVEL COLLABORATION - FROM PROJECT TO REALIZATION, IOS Press, 2016, Vol. 225, p. 222-226Conference paper (Refereed)
    Abstract [en]

    We present one part of the results of an international survey exploring current and future nursing informatics (NI) research trends. The study was conducted by the International Medical Informatics Association Nursing Informatics Special Interest Group (IMIA-NISIG) Student Working Group. Based on findings from this cross-sectional study, we identified future NI research priorities. We used snowball sampling technique to reach respondents from academia and practice. Data were collected between August and September 2015. Altogether, 373 responses from 44 countries were analyzed. The identified top ten NI trends were big data science, standardized terminologies (clinical evaluation/implementation), education and competencies, clinical decision support, mobile health, usability, patient safety, data exchange and interoperability, patient engagement, and clinical quality measures. Acknowledging these research priorities can enhance successful future development of NI to better support clinicians and promote health internationally. © 2016 IMIA and IOS Press.

  • 62.
    Ramstedt, Linda
    et al.
    Sweco AB, SWE.
    Törnquist Krasemann, Johanna
    Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science and Engineering.
    Davidsson, Paul
    Malmö Högskola, SWE.
    Movement of people and goods2013In: Understanding Complex Systems / [ed] Edmonds B., Meyer R. (eds), Springer Verlag , 2013, no 9783319669472, p. 705-720Chapter in book (Refereed)
    Abstract [en]

    Due to the continuous growth of traffic and transportation and thus an increased urgency to analyze resource usage and system behavior, the use of computer simulation within this area has become more frequent and acceptable. This chapter presents an overview of modeling and simulation of traffic and transport systems and focuses in particular on the imitation of social behavior and individual decision-making in these systems. We distinguish between transport and traffic. Transport is an activity where goods or people are moved between points A and B, while traffic is referred to as the collection of several transports in a common network such as a road network. We investigate to what extent and how the social characteristics of the users of these different traffic and transport systems are reflected in the simulation models and software. Moreover, we highlight some trends and current issues within this field and provide further reading advice. © 2017, Springer International Publishing AG.

  • 63.
    Reinius, Joakim
    Blekinge Institute of Technology, School of Computing.
    The PACT Analysis Framework. A case study of 1177.se2011Independent thesis Advanced level (degree of Master (One Year))Student thesis
    Abstract [en]

    In 2010 the new Swedish national system for health care 1177.se was launched in order for users to have one place where to find health care related information. The primary stakeholders of this system, which is online based, are the counties and regions of Sweden. The purpose of the thesis is to identify what improvements can be made on the health care system in order to benefit new technologies and in the end the users. The main question that the thesis will address is: * How can a PACT analysis improve the design of health the health care system 1177.se to benefit new technologies in order to be as available as possible. The method that has been used in order to gain knowledge in the subject has been literature studies, observations, scenario building and also an interview. The analysis of the empirical and theoretical studies has shown that more attention should be placed on people that have different disabilities and people with other origins then Sweden. People that are not so comfortable with Internet technology also is a group of people that needs to be placed in focus.

  • 64.
    Rezaee, Shaliz
    Blekinge Institute of Technology, School of Computing.
    E-mail Prioritization through Social Network Analysis2012Independent thesis Advanced level (degree of Master (Two Years))Student thesis
    Abstract [en]

    Context. Trust and reliability are important issues in online communication. By rapid growth of online social networks (OSNs), online communication becomes richer by the integrating of social interaction into the communication model. However, E-mail communication systems concern about unsolicited messages. Objectives. In this thesis the aim is to investigate how to prioritize E-mails between recipients and senders by using information from OSNs. Methods. An algorithm is presented for computing trust by measuring users‟ interaction and similarity in online social networks and this trust is used by another algorithm for prioritizing the E-mail inbox. Results. An evaluation of the proposed method is performed via a case study and the prediction error of the method is compared with the prediction error of the random feedback. The error of the method is significantly lower than random feedback and is relatively low, given the small number of observations. Conclusions. This thesis contributes in its review and categorization of existing trust models. Furthermore, it provides an analysis on how to use social information for E-mail prioritization. Based on the analysis, a method is presented for improving the reliability of E-mail communication by extracting information from OSNs. The information is used for computing the trust score between two OSN friends. In this thesis, it is suggested that, inbox prioritization is achievable using the selected method.

  • 65.
    Roos, Linda
    Blekinge Institute of Technology, Faculty of Engineering, Department of Industrial Economics.
    Digital kompetens: Äldreomsorgspersonals upplevelser av en digitaliserad arbetsplats2014Independent thesis Basic level (degree of Bachelor)Student thesis
    Abstract [en]

    Denna studie belyser datorteknikens betydelse och inverkan på äldreomsorgspersonals kompetensutveckling i relation till den digitalisering som sker i arbetslivet inom offentlig sektor. Regeringen presenterar den digitala agendan inom vilken informations- och kommunikationstekniken idag anses ha en stor potential för hållbarhet, tillväxt och utveckling. Enligt EU kommissionen är det flera viktiga delar som bör förbättras för att digitaliseringen ska lyckas. Däribland den digitala kompetensen, samverkan mellan olika instanser samt satsningar på forskning, utbildning och innovation. Ny teknik kan uppfattas på olika sätt av människor. Vissa ser datorn och ny teknik som något positivt och spännande som underlättar vardagen medan andra har svårare att ta den till sig och inte ser möjligheterna till lärande och utveckling. Syftet är att undersöka hur undersköterskor samt vårdbiträden upplever den digitalisering som sker inom äldreomsorgen och vilka faktorer som påverkar deras lärande och digitala kompetens.

  • 66.
    Sandström, Claes
    et al.
    Blekinge Institute of Technology, School of Planning and Media Design.
    Karlson, Johanna Hallberg
    Blekinge Institute of Technology, School of Planning and Media Design.
    Webbdesign för iPhone2012Independent thesis Basic level (degree of Bachelor)Student thesis
    Abstract [sv]

    Detta kandidatarbete utgår ifrån vilka aspekter som är viktiga att tänka på när man anpassar av en webbsida till en mobil enhet och de problem som uppstår när en webbsida skalas ner till en låg skärmupplösning. Vi har behandlat användarvänlighet, designprinciper, grafiska element och tekniska aspekter för att svara på problemformuleringen. Slutsatsen vi kommit fram till är ett antal punkter inom områdena ovan.

  • 67.
    Selvi, Mehmet
    et al.
    Blekinge Institute of Technology, Faculty of Computing, Department of Software Engineering.
    Büyükcan, Güral
    Blekinge Institute of Technology, Faculty of Computing, Department of Software Engineering.
    Influential factors affecting the undesired fault correction outcomes in large-scaled companies2014Independent thesis Advanced level (degree of Master (Two Years))Student thesis
    Abstract [en]

    Context. Fault correction process is one of the two main activities in software evolution model. As it is very important for software maintainability, software industry especially large-scaled global companies, aim to have mature fault correction processes that detect faults and correct them in a continuous and efficient way. Considerable amount of effort is needed and some measures should be taken in order to be successful. This master thesis is mainly related with fault correction and finding possible solutions for better process. Objectives. The main aim of this study is to investigate and identify influential factors having affects over undesired fault correction outcomes. This study has three main stages: 1) to identify factors from company data that have affects over target factors, 2) to elicit influential factors from interviews and literature review, 3) to prioritize influential factors based on their significance. Based on the outcomes, giving recommendations to company and software industry is the other aim of this master thesis. Methods. This study mainly reflects the empirical research of software fault correction process and undesired outcomes of it. In this master thesis, both quantitative and qualitative data analysis were performed. Case study was conducted with Ericsson AB that data analysis was made with the archival data by using several methods including Machine Learning and Apriori. Also, surveys and semi-structured interviews were used for data collection instruments. Apart from this, literature review was performed in order to collect influential factors for fault correction process. Prioritization of the influential factors was made by using hierarchical cumulative voting. Results. Throughout the case study, quantitative data analysis, interviews and literature review was conducted and totally 45 influential factors were identified. By using these factors prioritization was performed with 26 practitioners (4 internal and 22 external) in order to find which factors are most a) significant and b) relevant in undesired fault correction outcomes. Based on the outcomes of prioritization, cause-effect diagram was drawn which includes all the important factors. Conclusions. This research showed that there are lots of factors influencing fault correction process. The practitioners mostly complained about the lack of analysis of deeply including correction of faults are not resulted the new requirements and they are not used for process improvement. Also, limited resources (such as work force, vacations and sickness), unbalanced fault correction task assignment and too much fault reports at the same time cause problems. Moreover, priorities of faults and customers affect the lead time of fault correction process as the critical faults are fixed at first.

  • 68.
    Settenvini, Matteo
    Blekinge Institute of Technology, Faculty of Computing, Department of Software Engineering.
    Algorithmic Analysis of Name-Bounded Programs: From Java programs to Petri Nets via π-calculus2014Independent thesis Advanced level (degree of Master (Two Years))Student thesis
    Abstract [en]

    Context. Name-bounded analysis is a type of static analysis that allows us to take a concurrent program, abstract away from it, and check for some interesting properties, such as deadlock-freedom, or watching the propagation of variables across different components or layers of the system. Objectives. In this study we investigate the difficulties of giving a representation of computer programs in a name-bounded variation of π-calculus. Methods. A preliminary literature review is conducted to assess the presence (or lack thereof) of other successful translations from real-world programming languages to π-calculus, as well for the presence of relevant prior art in the modelling of concurrent systems. Results. This thesis gives a novel translation going from a relevant subset of the Java programming language, to its corresponding name-bounded π-calculus equivalent. In particular, the strengths of our translation are being able to dispose of names representing inactive objects when there are no circular references, and a transparent handling of polymorphism and dynamic method resolution. The resulting processes can then be further transformed into their Petri-Net representation, enabling us to check for important properties, such as reachability and coverability of program states. Conclusions. We conclude that some important properties that are not, in general, easy to check for concurrent programs, can be in fact be feasibly determined by giving a more constrained model in π-calculus first, and as Petri Nets afterwards.

  • 69.
    Shao, Borong
    Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science and Engineering.
    A Mixture-of-Experts Approach for Gene Regulatory Network Inference2014Independent thesis Advanced level (degree of Master (Two Years))Student thesis
    Abstract [en]

    Context. Gene regulatory network (GRN) inference is an important and challenging problem in bioinformatics. A variety of machine learning algorithms have been applied to increase the GRN inference accuracy. Ensemble learning methods are shown to yield a higher inference accuracy than individual algorithms. Objectives. We propose an ensemble GRN inference method, which is based on the principle of Mixture-of-Experts ensemble learning. The proposed method can quantitatively measure the accuracy of individual GRN inference algorithms at the network motifs level. Based on the accuracy of the individual algorithms at predicting different types of network motifs, weights are assigned to the individual algorithms so as to take advantages of their strengths and weaknesses. In this way, we can improve the accuracy of the ensemble prediction. Methods. The research methodology is controlled experiment. The independent variable is method. It has eight groups: five individual algorithms, the generic average ranking method used in the DREAM5 challenge, the proposed ensemble method including four types of network motifs and five types of network motifs. The dependent variable is GRN inference accuracy, measured by the area under the precision-recall curve (AUPR). The experiment has training and testing phases. In the training phase, we analyze the accuracy of five individual algorithms at the network motifs level to decide their weights. In the testing phase, the weights are used to combine predictions from the five individual algorithms to generate ensemble predictions. We compare the accuracy of the eight method groups on Escherichia coli microarray dataset using AUPR. Results. In the training phase, we obtain the AUPR values of the five individual algorithms at predicting each type of the network motifs. In the testing phase, we collect the AUPR values of the eight methods on predicting the GRN of the Escherichia coli microarray dataset. Each method group has a sample size of ten (ten AUPR values). Conclusions. Statistical tests on the experiment results show that the proposed method yields a significantly higher accuracy than the generic average ranking method. In addition, a new type of network motif is found in GRN, the inclusion of which can increase the accuracy of the proposed method significantly.

  • 70. Shao, Borong
    et al.
    Lavesson, Niklas
    Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science and Engineering.
    Boeva, Veselka
    Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science and Engineering.
    Shahzad, Raja Khurram
    Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science and Engineering.
    A mixture-of-experts approach for gene regulatory network inference2016In: INTERNATIONAL JOURNAL OF DATA MINING AND BIOINFORMATICS, ISSN 1748-5673, Vol. 14, no 3, p. 258-275Article in journal (Refereed)
    Abstract [en]

    Gene regulatory network (GRN) inference is an important problem in bioinformatics. Many machine learning methods have been applied to increase the inference accuracy. Ensemble learning methods are shown in DREAM3 and DREAM5 challenges to yield a higher inference accuracy than individual algorithms. However, no ensemble method has been proposed to take advantage of the complementarity among existing algorithms from the perspective of network motifs. We propose an ensemble method based on the principle of Mixture-of-Experts ensemble learning. The method can quantitatively evaluate the accuracy of individual algorithms on predicting each type of the network motifs and assign weights to the algorithms accordingly. The individual predictions are then used to generate the ensemble prediction. By performing controlled experiments and statistical tests, the proposed ensemble method is shown to yield a significantly higher accuracy than the generic average ranking method used in the DREAM5 challenge. In addition, a new type of network motif is found in GRN, the inclusion of which can increase the accuracy of the proposed method significantly.

  • 71.
    Shembilu, Allen
    Blekinge Institute of Technology, School of Computing.
    IMPORTANCE OF SOCIAL NETWORKING FOR STUDENT PARTICIPATION IN EDUCATION IN TANZANIA2013Independent thesis Advanced level (degree of Master (Two Years))Student thesis
    Abstract [en]

    The web 2.0 technology and its associated social networks have brought tremendous effects in each day life. The effect is now reaching the educational settings due to online increasing activities. Indeed, new ways of learning have started to attract the ongoing debate for inclusion web 2.0 technologies into pedagogy. The effects of Blogs, Wikis, Twitter, Facebook, MySpace, Moodle, RSS feeds and other related social networking tools in the formal and informal education, is vividly seen. Educators all over the World are keen to implement them into educational practices. What benefits have so far been observed by both students and educators? This is an important question that needs to be answered thoroughly, in order to establish a new shift in educational and pedagogical thinking. Information sharing accompanied by openness and a great deal of voluntary collaboration, is what forces the exploration in this area of informatics. In Tanzania, the Ministry for Education and Vocational Training has developed a policy for Information and Communication Technology for Basic Education in July, 2007. This was done so as to integrate ICT in education after realizing its potentials in daily life. Through this policy and other initiatives supported by Swedish International Development Agency (SIDA), a birth of eSchools was realized for integrating ICT in Education. The aim of this study is investigating the importance of online social networking sites in education in Tanzania. Using a quantitative method, this study includes a total of 56 participants (key informants) as a sample. All participants are students at the University of Dar es Salaam pursuing various courses. The instrument for data collection was a questionnaire composed of 19 questions. The usable rate of returned responses was 61% of the anticipated responses. The responses were then collated for analysis by means of MS excel. The study was conducted in March and April, 2012 and revealed that, the online social networks is not fully utilized in Tanzania for educational purposes. Lack of wider access to technology is a big hindrance, although not a definite factor by itself. Another factor has been identified as lack of sensitization among students and educators. Furthermore, the report provides recommendations on how this technology can be fully exploited for the benefits of the students and community at large.

  • 72.
    Silva, Diego Núñez
    Blekinge Institute of Technology, School of Computing.
    Design and Implementation of a Media Access Component at Picsearch Using a Rigorous Software Engineering Approach2011Independent thesis Advanced level (degree of Master (Two Years))Student thesis
    Abstract [en]

    With the arrival of a new generation of sophisticated smartphones, possibilities for mobile video usage are presenting exciting new opportunities. This Master's thesis is based on a collaboration with Picsearch to design and implement a software component that enables the company's video services in Android smartphones.

  • 73.
    Sohaib, Ahmad Tauseef
    et al.
    Blekinge Institute of Technology, School of Computing.
    Qureshi, Shahnawaz
    Blekinge Institute of Technology, School of Computing.
    An Empirical Study of Machine Learning Techniques for Classifying Emotional States from EEG Data2012Independent thesis Advanced level (degree of Master (Two Years))Student thesis
    Abstract [en]

    With the great advancement in robot technology, smart human-robot interaction is considered to be the most wanted success by the researchers these days. If a robot can identify emotions and intentions of a human interacting with it, that would make robots more useful. Electroencephalography (EEG) is considered one effective way of recording emotions and motivations of a human using brain. Various machine learning techniques are used successfully to classify EEG data accurately. K-Nearest Neighbor, Bayesian Network, Artificial Neural Networks and Support Vector Machine are among the suitable machine learning techniques to classify EEG data. The aim of this thesis is to evaluate different machine learning techniques to classify EEG data associated with specific affective/emotional states. Different methods based on different signal processing techniques are studied to find a suitable method to process the EEG data. Various number of EEG data features are used to identify those which give best results for different classification techniques. Different methods are designed to format the dataset for EEG data. Formatted datasets are then evaluated on various machine learning techniques to find out which technique can accurately classify EEG data according to associated affective/emotional states. Research method includes conducting an experiment. The aim of the experiment was to find the various emotional states in subjects as they look on different pictures and record the EEG data. The obtained EEG data is processed, formatted and evaluated on various machine learning techniques to find out which technique can accurately classify EEG data according to associated affective/emotional states. The experiment confirms the choice of a technique for improving the accuracy of results. According to the results, Support Vector Machine is the first and Regression Tree is the second best to classify EEG data associated with specific affective/emotional states with accuracies up to 70.00% and 60.00% respectively. SVM is better in performance than RT. However, RT is famous for providing better accuracies for diverse EEG data.

  • 74.
    Ullah, Ikram
    et al.
    Blekinge Institute of Technology, School of Computing.
    Ayaz, Muhammad
    Blekinge Institute of Technology, School of Computing.
    Investigation of Customer-Driven Innovation2013Independent thesis Advanced level (degree of Master (Two Years))Student thesis
    Abstract [en]

    Context:- Software companies have changed their strategies from “innovating for customers” and “innovating with customers” to innovating “by customers” which is also known as customer-driven innovation. Actually, companies move toward customer-driven innovation programs because they need to collect as many ideas as possible from suitable customers to ensure their global competitiveness and set the stage for profitable growth. As customer-driven innovation is comparatively a new trend, the objective of our research is to explore its status in the new era of software development. Objectives:- The main aim of our study is to investigate customer-driven innovation in the modern era of software development. It also explores the motives, benefits, communication channels and barriers between customers and software companies to cooperate with each other. Methods:- Systematic Literature Review (SLR) and industrial interviews are two basic types of data collection methods which are utilized to accomplish the objectives of our study. Then qualitative data analysis software is used to perform thematic analysis (Grounded Theory) in order to draw conclusions and highlight useful information from the collected data. Results:- Based on the SLR and interviews result the conclusion was made that there are different types of motives and benefits for company and customer to cooperate with each other during idea generation stage of product and service innovations. We identified various types of activities and communication channels in the context of customer-driven innovation. In addition, we identified different types of barriers that can limit the cooperation between company and customers. Conclusions:- The comparison between theory and practice explored most important motive and benefit for company and customers to cooperate with each other during ideation process of product and service innovation. It also identified most significant activities and communication channels for idea generation in the context of customer-driven innovation. In addition, we identified most common barriers which prevent company and customers to cooperate with each other during ideation process.

  • 75.
    Vakkalanka, Sairam
    et al.
    Blekinge Institute of Technology, Faculty of Computing, Department of Software Engineering.
    Narayanasetty, SR Phanindra Kumar
    Blekinge Institute of Technology, Faculty of Computing, Department of Software Engineering.
    Investigating Research on Teaching Modeling in Software Engineering -A Systematic Mapping Study2013Independent thesis Advanced level (degree of Master (Two Years))Student thesis
    Abstract [en]

    Context: Modeling is an important activity, which is used, in different phases of software engineering. Without models and modeling, it is nearly impossible to design and develop software systems, which demands the need for modeling to be taught in software engineering. There exist a number of reported models, methods, tools and languages to teach modeling in software engineering, which suggests the need for a classification and an overview of the area. This research investigates the state of published research on teaching modeling in software engineering in order to provide a systematic overview and classification of these different ways of teaching modeling with an insight on their importance and relevance to this research area. Objectives: The overall goal of the research was achieved with fulfilling the following objectives: understanding how systematic mapping is conducted, developing a systematic mapping process that will properly provide data for investigating the published research, applying the process, and finally reflecting on the results of the mappings, analyzing the importance and evaluating relevance of the published research. Methods: Systematic literature review was used as a tool to understand and inspect how systematic mapping was carried out in the area of software engineering. Based on the results of systematic literature review, new guidelines were formulated to conduct systematic mapping. These guidelines were used to investigate the published research on teaching modeling in software engineering. The results obtained through the systematic mapping were evaluated based on Industrial relevance, Rigor and citation count to examine their importance and identify research gaps. Results: 131 articles were classified into five classes such as Languages, Course Design, Curriculum design, Diagrams, others using semi-manual classification scheme and classification facets such as the type of audience, type of contribution, type of research, type of publication, type of publication year, type of research method and type of study setting. After the evaluation of Industrial relevance, rigor & citation ranking on the obtained results of the classification, 8 processes, 4 tools, 3 methods, 2 measurement-metrics and 1 model were extracted to teach modeling in software engineering. Also, this classification when compared with an existing classification, which is based on interviews and discussions, showed that our classification provides a wider overview with a deeper insight of the different ways to teach modeling in software engineering. Conclusions: Results of this systematic mapping study indicate that there is an increase in the research activity on teaching modeling in software engineering, with Unified Modeling Language (UML) being the widely research area. Much research is emphasized on teaching modeling to students from academia which indicates a research gap in developing methods, models, tools and processes to teach modeling to students/practitioners from the industry. Also, considering the citation ranking, industrial relevance and rigor of the articles, areas such as course design and curriculum development are highly neglected, suggesting the need for more research focus.

  • 76.
    Wiafe, Samuel
    Blekinge Institute of Technology, School of Computing.
    Examining Internet and E-commerce Adoption in the Music Records Business in Ghana2012Independent thesis Advanced level (degree of Master (Two Years))Student thesis
    Abstract [en]

    Context: Information Communication Technologies (ICT) and its related applications are increasingly penetrating all spheres of individual, organizational, and societal aspects of everyday life in the developing economies and Africa as well. The Internet is emerging as an important technology for commerce and business. The employment of Internet based technologies and applications in music service both in online sales and marketing of music records and digital music service is significantly altering the approach that traditional commerce is done. It eliminates all geographical bottlenecks, allowing the establishment of virtual outlets and presence throughout the world, and permits direct and instant foreign market entry to less known artistes and music records businesses. Objectives: In this study, I investigate the state of internet and e-commerce adoption in the music record business in Ghana. I seek to find out the reasons for the adoption of e-commerce platform within the music industry and to assess the challenges confronting the adoption of e-commerce. Methods: We conducted a Literature Review to get an overview of the music industry as a whole, and also to describe the diffusion of e-commerce technologies in music services. We use qualitative research approach to collect data and to identify reasons for the adoption of e-commerce platforms primarily among consumers and retailers of the music services. We conducted interviews with musicians and managers of record companies were conducted to ascertain their reasons for using or non using e-commerce technologies, and identify prospects and challenges confronting its adoption within the industry. Conclusion: The evaluation from musicians, consumers and other key players indicated their willingness to go for the e-commerce platforms in music service delivery. However, they are challenged by poor infrastructures, unsettled issues of monetization of music contents coupled with high digital gap among the citizenry. Prevailing government efforts contribute nevertheless in closing the digital disparity among the populace, and Telecom and ISPs improvement in service delivery give an outlook of full realization of the goal of e-commerce adoption in the music industry in Ghana.

  • 77.
    XUE, RUI
    Blekinge Institute of Technology, School of Computing.
    Human Computer Interaction Study: Designing a Mobile Web-based Vaccination Service System Interface for Uganda in Low Resource Settings2013Independent thesis Advanced level (degree of Master (Two Years))Student thesis
    Abstract [en]

    Recently, the coverage rating of child vaccination services in developing countries, like Uganda, is lower than developed countries. The low resource setting is the reason that causes the poor vaccination performance. Health workers suffer from the heavy workload, low budget supplement and bad traffic condition, etc. Which constrains the quality of vaccination services. In this thesis, the author designs a mobile web-based vaccination service system, to improve the quality of vaccination service, within the low resource setting. A study in HCI is carried out to design a vaccination service system in the low resource settings of Uganda. Through theoretical study, the author collects the knowledge about how to apply HCI theory to system interface design. A related work study is carried out to help the author to choose the design solution. Through comparing the design with related works, the strength of using the author’s design solution in low resource of Uganda is verified. A field study helps to collect information about the user’s characteristics, which is used for designing a user-friendly system interface. An internal focus group helps to improve the design quality. The author delivers a case study example which could be evaluated and borrowed by other researchers who design a similar system. Additionally, findings from the qualitative research could be used for further research.

  • 78.
    Zou, Ming
    Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science and Engineering.
    Industrial Decision Support System with Assistance of 3D Game Engine2015Independent thesis Advanced level (degree of Master (Two Years))Student thesis
    Abstract [en]

    Context. Industrial Decision Support System(DSS) traditionally relies on 2D approach to visualize the scenarios. For some abstract information, like chronological sequence of tasks or data trend, it provides a good visualization. For concrete information, such as location and spatial relationships, 2D visualizations are too abstract. Techniques from Game design, 3D modeling, virtual reality(VR) and animation provides many inspiration to develop a DSS tools for industrial applications. Objectives. The work in our research was to develop a unique prototype for data visualization in wind power systems, and compare it with traditional ones. The product combined 3D VR, 2D graphics, user navigation, and Human Machine Interaction(HMI). It was developed with a game engine, Unity3D. The study explored how much usability can be improved when using applied gamificaion 3D approaches in industrial monitoring and control systems. Methods. The research methods included Literature Review, Commercial Example Analysis, Development, and Evaluation. In the evaluation phase, Systematic Usability Scale(SUS) tests were performed with two independent groups, the testing results were analyzed with statistical method, t-test. Results. The evaluation results showed that an interface developed with 3D virtual reality can provide better usability(include learnability) than traditional 2D industrial interface in wind power system. The difference between them is significant. Conclusions. The study indicates that, compared with the traditional 2D interfaces, the gamification 3D approach in industrial DSS can provide user more comprehensive information visualization, better usability and learnability . It also gives more effective interactions to enhance the user experience.

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