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  • 1.
    Demirsoy, Ali
    et al.
    Borsa Istanbul, TUR.
    Petersen, Kai
    Blekinge Tekniska Högskola, Fakulteten för datavetenskaper, Institutionen för programvaruteknik.
    Semantic Knowledge Management System to Support Software Engineers: Implementation and Static Evaluation through Interviews at Ericsson2018Ingår i: e-Informatica Software Engineering Journal, ISSN 1897-7979, E-ISSN 2084-4840, Vol. 12, nr 1, s. 237-263Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    Background: In large-scale corporations in the software engineering context information overload problems occur as stakeholders continuously produce useful information on process life-cycle issues, matters related to specific products under development, etc. Information overload makes finding relevant information (e.g., how did the company apply the requirements process for product X?) challenging, which is in the primary focus of this paper. Contribution: In this study the authors aimed at evaluating the ease of implementing a semantic knowledge management system at Ericsson, including the essential components of such systems (such as text processing, ontologies, semantic annotation and semantic search). Thereafter, feedback on the usefulness of the system was collected from practitioners. Method: A single case study was conducted at a development site of Ericsson AB in Sweden. Results: It was found that semantic knowledge management systems are challenging to implement, this refers in particular to the implementation and integration of ontologies. Specific ontologies for structuring and filtering are essential, such as domain ontologies and ontologies distinct to the organization. Conclusion: To be readily adopted and transferable to practice, desired ontologies need to be implemented and integrated into semantic knowledge management frameworks with ease, given that the desired ontologies are dependent on organizations and domains.

  • 2.
    Nurdiani, Indira
    et al.
    Blekinge Tekniska Högskola, Fakulteten för datavetenskaper, Institutionen för programvaruteknik.
    Börstler, Jürgen
    Blekinge Tekniska Högskola, Fakulteten för datavetenskaper, Institutionen för programvaruteknik.
    Fricker, Samuel
    Blekinge Tekniska Högskola, Fakulteten för datavetenskaper, Institutionen för programvaruteknik.
    Petersen, Kai
    Blekinge Tekniska Högskola, Fakulteten för datavetenskaper, Institutionen för programvaruteknik.
    Usage, Retention, and Abandonment of Agile Practices2019Ingår i: e-Informatica Software Engineering Journal, ISSN 1897-7979, E-ISSN 2084-4840, Vol. 13, nr 1, s. 7-35Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    Background: A number of Agile maturity models (AMMs) have been proposed to guide software organizations in their adoption of Agile practices. Typically the AMMs suggest that higher maturity levels are reached by gradually adding more practices. However, recent research indicates that certain Agile practices, like test-driven development and continuous integration are being abandoned. Little is known on the rationales for abandoning Agile practices. Aim: We aim to identify which Agile practices are abandoned in industry, as well as the reasons for abandoning them. Method: We conducted a web survey with 51 respondents and interviews with 11 industry practitioners with experience in Agile adoption to investigate why Agile practices are abandoned. Results: Of the 17 Agile practices that were included in the survey, all have been abandoned at some point. Nevertheless, respondents who retained all practices as well as those who abandoned one or more practices, perceived their overall adoption of Agile practices as successful. Conclusion: Going against the suggestions of the AMMs, i.e. abandoning Agile one or more practices, could still lead to successful outcomes. This indicates that introducing Agile practices gradually in a certain sequence, as the AMMs suggest, may not always be suitable in different contexts.

  • 3.
    Unterkalmsteiner, Michael
    et al.
    Blekinge Tekniska Högskola, Fakulteten för datavetenskaper, Institutionen för programvaruteknik.
    Abrahamsson, Pekka
    Wang, XiaoFeng
    Nguyen-Duc, Anh
    Shah, Syed
    Bajwa, Sohaib Shahid
    Baltes, Guido H.
    Conboy, Kieran
    Cullina, Eoin
    Dennehy, Denis
    Edison, Henry
    Fernandez-Sanchez, Carlos
    Garbajosa, Juan
    Gorschek, Tony
    Blekinge Tekniska Högskola, Fakulteten för datavetenskaper, Institutionen för programvaruteknik.
    Klotins, Eriks
    Blekinge Tekniska Högskola, Fakulteten för datavetenskaper, Institutionen för programvaruteknik.
    Hokkanen, Laura
    Kon, Fabio
    Lunesu, Ilaria
    Marchesi, Michele
    Morgan, Lorraine
    Oivo, Markku
    Selig, Christoph
    Seppänen, Pertti
    Sweetman, Roger
    Tyrväinen, Pasi
    Ungerer, Christina
    Yagüe, Agustin
    Software Startups: A Research Agenda2016Ingår i: e-Informatica Software Engineering Journal, ISSN 1897-7979, E-ISSN 2084-4840, Vol. 10, nr 1, s. 89-123Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    Software startup companies develop innovative, software-intensive products within limited timeframes and with few resources, searching for sustainable and scalable business models. Software startups are quite distinct from traditional mature software companies, but also from micro-, small-, and medium-sized enterprises, introducing new challenges relevant for software engineering research. This paper’s research agenda focuses on software engineering in startups, identifying, in particular, 70+ research questions in the areas of supporting startup engineering activities, startup evolution models and patterns, ecosystems and innovation hubs, human aspects in software startups, applying startup concepts in non-startup environments, and methodologies and theories for startup research. We connect and motivate this research agenda with past studies in software startup research, while pointing out possible future directions. While all authors of this research agenda have their main background in Software Engineering or Computer Science, their interest in software startups broadens the perspective to the challenges, but also to the opportunities that emerge from multi-disciplinary research. Our audience is therefore primarily software engineering researchers, even though we aim at stimulating collaborations and research that crosses disciplinary boundaries. We believe that with this research agenda we cover a wide spectrum of the software startup industry current needs.

  • 4.
    Wilson, Magnus
    et al.
    Blekinge Tekniska Högskola, Fakulteten för datavetenskaper, Institutionen för programvaruteknik.
    Wnuk, Krzysztof
    Blekinge Tekniska Högskola, Fakulteten för datavetenskaper, Institutionen för programvaruteknik.
    Silvander, Johan
    Blekinge Tekniska Högskola, Fakulteten för datavetenskaper, Institutionen för programvaruteknik.
    Gorschek, Tony
    Blekinge Tekniska Högskola, Fakulteten för datavetenskaper, Institutionen för programvaruteknik.
    A Literature Review on the Effectiveness and Efficiency of Business Modeling2018Ingår i: e-Informatica Software Engineering Journal, ISSN 1897-7979, E-ISSN 2084-4840, Vol. 12, nr 1, s. 265-302Artikel, forskningsöversikt (Refereegranskat)
    Abstract [en]

    Background: Achieving and maintaining a strategic competitive advantage through business and technology innovation via continually improving effectiveness and efficiency of the operations are the critical survival factors for software-intensive product development companies. These companies invest in business modeling and tool support for integrating business models into their product development, but remain uncertain, if such investments generate desired results. Aim: This study explores the effects of business modeling on effectiveness and efficiency for companies developing software-intensive products. Method: We conducted a systematic literature review using the snowballing methodology, followed by thematic and narrative analysis. 57 papers were selected for analysis and synthesis, after screening 16 320 papers from multiple research fields. Results: We analyzed the literature based on purpose, benefit, challenge, effectiveness, and efficiency with software and software-intensive products as the unit of analysis. The alignment between strategy and execution is the primary challenge, and we found no evidence that business modeling increases effectiveness and efficiency for a company. Any outcome variations may simply be a result of fluctuating contextual or environmental factors rather than the application of a specific business modeling method. Therefore, we argue that governance is the fundamental challenge needed for business modeling, as it must efficiently support simultaneous experimentation with products and business models while turning experiences into knowledge. Conclusion: We propose a conceptual governance model for exploring the effectiveness and efficiency of business modeling to occupy the missing link between business strategy, processes and software tools. We also recommend managers to introduce a systematic approach for experimentation and organizational learning, collaboration, and value co-creation.

  • 5.
    Wnuk, Krzysztof
    et al.
    Blekinge Tekniska Högskola, Fakulteten för datavetenskaper, Institutionen för programvaruteknik.
    Garrepalli, Thrinay
    Blekinge Tekniska Högskola, Fakulteten för datavetenskaper, Institutionen för programvaruteknik.
    Knowledge management in software testing: A systematic snowball literature review2018Ingår i: e-Informatica Software Engineering Journal, ISSN 1897-7979, E-ISSN 2084-4840, Vol. 12, nr 1, s. 51-78Artikel, forskningsöversikt (Refereegranskat)
    Abstract [en]

    Background: Software testing benefits from the usage of Knowledge Management (KM) methods and principles. Thus, there is a need to adopt KM to the software testing core processes and attain the benefits that it provides in terms of cost, quality, etc. Aim: To investigate the usage and implementation of KM for software testing. The major objectives include 1. To identify various software testing aspects that receive more attention while applying KM. 2. To analyse multiple software testing techniques, i.e. test design, test execution and test result analysis and highlight KM involvement in these. 3. To gather challenges faced by industry due to the lack of KM initiatives in software testing. Method: A Systematic Literature Review (SLR) was conducted utilizing the guidelines for snowballing reviews by Wohlin. The identified studies were analysed in relation to their rigor and relevance to assess the quality of the results. Results: The initial resulting set provided 4832 studies. From these, 35 peer-reviewed papers were chosen among which 31 are primary, and 4 are secondary studies. The literature review results indicated nine testing aspects being in focus when applying KM within various adaptation contexts and some benefits from KM application. Several challenges were identified, e.g., improper selection and application of better-suited techniques, a low reuse rate of software testing knowledge, barriers in software testing knowledge transfer, no possibility to quickly achieve the most optimum distribution of human resources during testing, etc. Conclusions: The study brings supporting evidence that the application of KM in software testing is necessary, e.g., to increase test effectiveness, select and apply testing techniques. The study outlines the testing aspects and testing techniques that benefit their users.

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