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Vishnubhotla, S. D. & Mendes, E. (2024). Examining the effect of software professionals’ personality & additional capabilities on agile teams’ climate. Journal of Systems and Software, 214, Article ID 112054.
Open this publication in new window or tab >>Examining the effect of software professionals’ personality & additional capabilities on agile teams’ climate
2024 (English)In: Journal of Systems and Software, ISSN 0164-1212, E-ISSN 1873-1228, Vol. 214, article id 112054Article in journal (Refereed) Published
Abstract [en]

Context: Investigating factors influencing agile team climate is pressing given its impact on organizational performance. Despite previous studies, association between human aspects and team climate remains yet unexplored. Objective: Exploring association between two human aspects, namely team member's capability measures and personality traits, and member's perceived team climate. Method: 75 professionals (12 teams) from one division participated in the first survey iteration, second iteration in another division included 46 professionals (7 teams). We employed correlation analyses to measure association between human aspects and climate, and regression analyses to identify team climate predictors. Results: In relation to team climate dimensions, we observed a significant negative correlation with neuroticism and a significant positive correlation with responsibility. Linear regression analysis showed capability measures accounted for 19.2% of variance in team climate. Multivariable regression analysis revealed capability measures and personality traits together accounted for 25.7% of variance in team climate. Conclusion: An individual's propensity towards self-doubt (neuroticism) negatively affects perceived team climate, whereas individual's ability to be responsible and teamwork-oriented positively affect perceived team climate. The inclusion of both capability and personality variables as input for multivariable regression explained slightly more variance in team climate, compared to only capability measures (25.7% against 19.2%). © 2024 The Author(s)

Place, publisher, year, edition, pages
Elsevier, 2024
Keywords
Agile software development, Capability measures, Correlation analysis, Personality traits, Regression analysis, Team climate prediction, Correlation methods, Iterative methods, Software design, Agile teams, Capability measure, Climate prediction, Human aspects, Pressung, Team climate
National Category
Software Engineering Psychology (excluding Applied Psychology)
Identifiers
urn:nbn:se:bth-26174 (URN)10.1016/j.jss.2024.112054 (DOI)001233303200001 ()2-s2.0-85191161464 (Scopus ID)
Funder
Knowledge Foundation, 20190078
Available from: 2024-05-07 Created: 2024-05-07 Last updated: 2024-11-08Bibliographically approved
Vishnubhotla, S. D. & Mendes, E. (2024). Exploring the relation between personality traits and agile team climate: Aggregating results from a twice replicated study in a telecom company. Journal of Systems and Software, 210, Article ID 111937.
Open this publication in new window or tab >>Exploring the relation between personality traits and agile team climate: Aggregating results from a twice replicated study in a telecom company
2024 (English)In: Journal of Systems and Software, ISSN 0164-1212, E-ISSN 1873-1228, Vol. 210, article id 111937Article in journal (Refereed) Published
Abstract [en]

Context: Former literature revealed team performance is contingent on personality composition and interactive effects of team climate. While decades of research on personality prevails in software engineering, team climate remains sparsely researched. Objective: In agile software development, individuals and interactions are key sources of agility. This study replicates a previous study and analyzes the relationship between five-factor-model personality traits and team climate dimensions among agile teams in a telecom company. Method: A Web-based survey was replicated twice, first with 75 professionals from 12 teams in Sweden, followed by 46 professionals from seven teams in India. The data was used for correlation, regression analyses, and meta-analysis. Results: We observed significant negative correlations between neuroticism and all the team climate dimensions. Meta-analysis identified a significant medium-sized negative effect between neuroticism and participative safety. Regression analysis showed personality traits accounted for around 10 % of the variance in team climate dimensions. Conclusions: High neuroticism is not conducive to team climate as emotionally unstable members could impair team cohesion by being reactive and susceptible to stress. Managers assembling Scrum teams ought to mitigate higher neuroticism by counterbalancing it with an elevation of corresponding negatively correlated personality variables and providing support/training towards increasing the aforementioned variables. © 2023

Place, publisher, year, edition, pages
Elsevier, 2024
Keywords
Agile software development, Correlation analysis, Meta-analysis, Personality traits, Regression analysis, Team climate, Climate models, Human resource management, Software design, Agile teams, Engineering teams, Interactive effect, Team performance, Telecom company
National Category
Software Engineering Psychology (excluding Applied Psychology)
Identifiers
urn:nbn:se:bth-25937 (URN)10.1016/j.jss.2023.111937 (DOI)001164255100001 ()2-s2.0-85182633775 (Scopus ID)
Funder
Knowledge Foundation, 20190078
Available from: 2024-02-05 Created: 2024-02-05 Last updated: 2024-11-08Bibliographically approved
Guimarães, G., Costa, I., Perkusich, M., Mendes, E., Santos, D., Almeida, H. & Perkusich, A. (2024). Investigating the relationship between personalities and agile team climate: A replicated study. Information and Software Technology, 169, Article ID 107407.
Open this publication in new window or tab >>Investigating the relationship between personalities and agile team climate: A replicated study
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2024 (English)In: Information and Software Technology, ISSN 0950-5849, E-ISSN 1873-6025, Vol. 169, article id 107407Article in journal (Refereed) Published
Abstract [en]

Context: A study in 2020 (S1) explored the relationship between personality traits and team climate perceptions of software professionals working in agile teams. S1 surveyed 43 software professionals from a large telecom company in Sweden and found that a person's ability to get along with team members (Agreeableness) influences significantly and positively the perceived level of team climate. Further, they observed that personality traits accounted for less than 15 % of the variance in team climate. Objective: The study described herein replicates S1 using data gathered from 148 software professionals from an industrial partner in Brazil. Method: We used the same research methods as S1. We employed a survey to gather the personality and climate data, which was later analyzed using correlation and regression analyses. The former aimed to measure the level of association between personality traits and climate and the latter to estimate team climate factors using personality traits as predictors. Results: The results for the correlation analyses showed statistically significant and positive associations between two personality traits - Agreeableness and Conscientiousness, and all five team climate factors. There was also a significant and positive association between Openness and Team Vision. Our results corroborate those from S1, with respect to two personality traits – Openness and Agreeableness; however, in S1, Openness was significantly and positively associated with Support for Innovation (not Team Vision). In regard to Agreeableness, in S1 it was also significantly and positively associated with perceived team climate. Furthermore, our regression models also support S1’s findings - personality traits accounted for less than 15 % of the variance in team climate. Conclusion: Despite variances in location, sample size, and operational domain, our study confirmed S1′s results on the limited influence of personality traits. Agreeableness and Openness were significant predictors for team climate, although the predictive factors differed. These discrepancies highlight the necessity for further research, incorporating larger samples and additional predictor variables, to better comprehend the intricate relationship between personality traits and team climate across diverse cultural and professional settings. © 2024 Elsevier B.V.

Place, publisher, year, edition, pages
Elsevier, 2024
Keywords
Agile software development, Correlation, Personality traits, Regression, Replication, Team climate, Climate models, Regression analysis, Agile teams, Climate factors, Team members, Telecom company, Software design
National Category
Software Engineering Psychology (excluding Applied Psychology)
Identifiers
urn:nbn:se:bth-25991 (URN)10.1016/j.infsof.2024.107407 (DOI)001184278400001 ()2-s2.0-85184758282 (Scopus ID)
Available from: 2024-02-28 Created: 2024-02-28 Last updated: 2024-05-07Bibliographically approved
Molléri, J. S., Mendes, E., Petersen, K. & Felderer, M. (2023). Determining a core view of research quality in empirical software engineering. Computer Standards & Interfaces, 84, Article ID 103688.
Open this publication in new window or tab >>Determining a core view of research quality in empirical software engineering
2023 (English)In: Computer Standards & Interfaces, ISSN 0920-5489, E-ISSN 1872-7018, Vol. 84, article id 103688Article in journal (Refereed) Published
Abstract [en]

Context: Research quality is intended to appraise the design and reporting of studies. It comprises a set of standards such as methodological rigor, practical relevance, and conformance to ethical standards. Depending on the perspective, different views of importance are given to the standards for research quality. Objective: To investigate the suitability of a conceptual model of research quality to Software Engineering (SE), from the perspective of researchers engaged in Empirical Software Engineering (ESE) research, in order to understand the core value of research quality. Method: We conducted a mixed-methods approach with two distinct group perspectives: (i) a research group; and (ii) the empirical SE research community. Our data collection approach comprised a questionnaire survey and a complementary focus group. We carried out a hierarchical voting prioritization to collect relative values for importance of standards for research quality. Results: In the context of this research, ‘internally valid’, ‘relevant research idea’, and ‘applicable results’ are perceived as the core standards for research quality in empirical SE. The alignment at the research group level was higher compared to that at the community level. Conclusion: The conceptual model was seen to express fairly the standards for research quality in the SE context. It presented limitations regarding its structure and components’ description, which resulted in an updated model. © 2022

Place, publisher, year, edition, pages
Elsevier, 2023
Keywords
Alignment, Conceptual model, Research quality, Standards, Surveys, Core values, Data collection, Empirical Software Engineering, Ethical standards, Mixed method, Research communities, Research groups, Software engineering research, Software engineering
National Category
Software Engineering
Identifiers
urn:nbn:se:bth-23706 (URN)10.1016/j.csi.2022.103688 (DOI)000870181900002 ()2-s2.0-85137713683 (Scopus ID)
Available from: 2022-10-03 Created: 2022-10-03 Last updated: 2023-12-04Bibliographically approved
Sundstedt, V., Boeva, V., Zepernick, H.-J., Goswami, P., Cheddad, A., Tutschku, K., . . . Arlos, P. (2023). HINTS: Human-Centered Intelligent Realities. In: Håkan Grahn, Anton Borg and Martin Boldt (Ed.), 35th Annual Workshop of the Swedish Artificial Intelligence Society SAIS 2023: . Paper presented at 35th Annual Workshop of the Swedish Artificial Intelligence Society SAIS 2023, Karlskrona, June 12-13, 2023 (pp. 9-17). Linköping University Electronic Press
Open this publication in new window or tab >>HINTS: Human-Centered Intelligent Realities
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2023 (English)In: 35th Annual Workshop of the Swedish Artificial Intelligence Society SAIS 2023 / [ed] Håkan Grahn, Anton Borg and Martin Boldt, Linköping University Electronic Press, 2023, p. 9-17Conference paper, Published paper (Refereed)
Abstract [en]

During the last decade, we have witnessed a rapiddevelopment of extended reality (XR) technologies such asaugmented reality (AR) and virtual reality (VR). Further, therehave been tremendous advancements in artificial intelligence(AI) and machine learning (ML). These two trends will havea significant impact on future digital societies. The vision ofan immersive, ubiquitous, and intelligent virtual space opensup new opportunities for creating an enhanced digital world inwhich the users are at the center of the development process,so-calledintelligent realities(IRs).The “Human-Centered Intelligent Realities” (HINTS) profileproject will develop concepts, principles, methods, algorithms,and tools for human-centered IRs, thus leading the wayfor future immersive, user-aware, and intelligent interactivedigital environments. The HINTS project is centered aroundan ecosystem combining XR and communication paradigms toform novel intelligent digital systems.HINTS will provide users with new ways to understand,collaborate with, and control digital systems. These novelways will be based on visual and data-driven platforms whichenable tangible, immersive cognitive interactions within realand virtual realities. Thus, exploiting digital systems in a moreefficient, effective, engaging, and resource-aware condition.Moreover, the systems will be equipped with cognitive featuresbased on AI and ML, which allow users to engage with digitalrealities and data in novel forms. This paper describes theHINTS profile project and its initial results. ©2023, Copyright held by the authors   

Place, publisher, year, edition, pages
Linköping University Electronic Press, 2023
Series
Linköping Electronic Conference Proceedings, ISSN 1650-3686, E-ISSN 1650-3740 ; 199
National Category
Human Computer Interaction
Identifiers
urn:nbn:se:bth-25413 (URN)10.3384/ecp199001 (DOI)9789180752749 (ISBN)
Conference
35th Annual Workshop of the Swedish Artificial Intelligence Society SAIS 2023, Karlskrona, June 12-13, 2023
Funder
Knowledge Foundation, 20220068
Available from: 2023-09-22 Created: 2023-09-22 Last updated: 2023-12-28Bibliographically approved
Vishnubhotla, S. D. & Mendes, E. (2023). Supplementary material of: "Examining the effect of software professionals’ capability and personality on agile team climate".
Open this publication in new window or tab >>Supplementary material of: "Examining the effect of software professionals’ capability and personality on agile team climate"
2023 (English)Other (Other academic)
Abstract [en]

This document contains the supplementary material of the paper titled: "Examining the effect of software professionals’ capability and personality on agile team climate" 

National Category
Software Engineering
Research subject
Software Engineering
Identifiers
urn:nbn:se:bth-25764 (URN)
Available from: 2023-12-13 Created: 2023-12-13 Last updated: 2023-12-14Bibliographically approved
Salleh, N., Mendes, E., Mendes, F., Dissanayake Lekamlage, C. & Petersen, K. (2023). Value-based Software Engineering: A Systematic Mapping Study. e-Informatica Software Engineering Journal, 17(1), Article ID 230106.
Open this publication in new window or tab >>Value-based Software Engineering: A Systematic Mapping Study
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2023 (English)In: e-Informatica Software Engineering Journal, ISSN 1897-7979, E-ISSN 2084-4840, Vol. 17, no 1, article id 230106Article in journal (Refereed) Published
Abstract [en]

Background: Integrating value-oriented perspectives into the principles and practices of software engineering is fundamental to ensure that software development activities address key stakeholders’ views and also balance short-and long-term goals. This is put forward in the discipline of value-based software engineering (VBSE) Aim: This study aims to provide an overview of VBSE with respect to the research efforts that have been put into VBSE. Method: We conducted a systematic mapping study to classify evidence on value definitions, studies’ quality, VBSE principles and practices, research topics, methods, types, contribution facets, and publication venues. Results: From 143 studies we found that the term “value” has not been clearly defined in many studies. VB Requirements Engineering and VB Planning and Control were the two principles mostly investigated, whereas VB Risk Management and VB People Management were the least researched. Most studies showed very good reporting and relevance quality, acceptable credibility, but poor in rigour. Main research topic was Software Requirements and case study research was the method used the most. The majority of studies contribute towards methods and processes, while very few studies have proposed metrics and tools. Conclusion: We highlighted the research gaps and implications for research and practice to support VBSE. © 2023 The Authors.

Place, publisher, year, edition, pages
Wroclaw University of Technology, 2023
Keywords
Systematic mapping, value-based software engineering, VBSE, Mapping, Requirements engineering, Software design, Development activity, Long-term goals, Principles and practices, Research efforts, Research topics, Study qualities, Systematic mapping studies, Value-based software engineerings, Risk management
National Category
Software Engineering
Identifiers
urn:nbn:se:bth-25210 (URN)10.37190/e-inf230106 (DOI)001094860300001 ()2-s2.0-85162861356 (Scopus ID)
Available from: 2023-08-06 Created: 2023-08-06 Last updated: 2023-12-04Bibliographically approved
Rodriguez, P., Urquhart, C. & Mendes, E. (2022). A Theory of Value for Value-Based Feature Selection in Software Engineering. IEEE Transactions on Software Engineering, 48(2), 466-484
Open this publication in new window or tab >>A Theory of Value for Value-Based Feature Selection in Software Engineering
2022 (English)In: IEEE Transactions on Software Engineering, ISSN 0098-5589, E-ISSN 1939-3520, Vol. 48, no 2, p. 466-484Article in journal (Refereed) Published
Abstract [en]

Value-Based Software Engineering stresses the role of value in software related decisions. In the context of feature selection, software features judged to provide higher value take priority in the development process. This paper focuses on what value means when selecting software features. Using grounded theory, we conducted and analyzed semi-structured interviews with 21 key stakeholders (decision-makers) from three software/software-intensive companies, within a context where value-based decision-making was already established. Our analysis led to the building of a theory of value for value-based feature selection that identifies the nature of value propositions considered by key stakeholders when selecting software features (i.e., decision-making criteria for deciding upon software features, as suggested by Boehm (2003)). We found that some value propositions were common to all three company cases (core value propositions), whereas others were dependent upon the context in which a company operates, and the characteristics of the product under development (specific value propositions). Moreover, value propositions vary according to the stakeholder group and the type of feature being assessed. Our study provides significant insight into value in the context of feature selection, and generates new concepts around value-based feature selection such as new value propositions.

Place, publisher, year, edition, pages
IEEE Computer Society, 2022
Keywords
Software, Feature extraction, Stakeholders, Companies, Decision making, Software engineering, Planning, Value-based software engineering (VBSE), value proposition, decision-making criteria, grounded-theory, theory development, feature selection, release planning, requirements engineering, decision-making, decision-making theory, software value, software products, software-intensive systems, PRODUCT VALUE, GENERAL-THEORY, CONTEXT, GENERALIZABILITY, MANAGEMENT, KING
National Category
Software Engineering
Identifiers
urn:nbn:se:bth-22741 (URN)10.1109/TSE.2020.2989666 (DOI)000756796100007 ()
Available from: 2022-03-11 Created: 2022-03-11 Last updated: 2023-12-04Bibliographically approved
Wohlin, C., Kalinowski, M., Romero Felizardo, K. & Mendes, E. (2022). Successful combination of database search and snowballing for identification of primary studies in systematic literature studies. Information and Software Technology, 147, Article ID 106908.
Open this publication in new window or tab >>Successful combination of database search and snowballing for identification of primary studies in systematic literature studies
2022 (English)In: Information and Software Technology, ISSN 0950-5849, E-ISSN 1873-6025, Vol. 147, article id 106908Article in journal (Refereed) Published
Abstract [en]

Background: A good search strategy is essential for a successful systematic literature study. Historically, database searches have been the norm, which was later complemented with snowball searches. Our conjecture is that we can perform even better searches if combining these two search approaches, referred to as a hybrid search strategy. Objective: Our main objective was to compare and evaluate a hybrid search strategy. Furthermore, we compared four alternative hybrid search strategies to assess whether we could identify more cost-efficient ways of searching for relevant primary studies. Methods: To compare and evaluate the hybrid search strategy, we replicated the search procedure in a systematic literature review (SLR) on industry–academia collaboration in software engineering. The SLR used a more “traditional” approach to searching for relevant articles for an SLR, while our replication was executed using a hybrid search strategy. Results: In our evaluation, the hybrid search strategy was superior in identifying relevant primary studies. It identified 30% more primary studies and even more studies when focusing only on peer-reviewed articles. To embrace individual viewpoints when assessing research articles and minimise the risk of missing primary studies, we introduced two new concepts, wild cards and borderline articles, when performing systematic literature studies. Conclusions: The hybrid search strategy is a strong contender for being used when performing systematic literature studies. Furthermore, alternative hybrid search strategies may be viable if selected wisely in relation to the start set for snowballing. Finally, the two new concepts were judged as essential to cater for different individual judgements and to minimise the risk of excluding primary studies that ought to be included. © 2022 The Authors

Place, publisher, year, edition, pages
Elsevier, 2022
Keywords
Hybrid search, Scopus, Snowballing, Systematic literature reviews, Information retrieval, Risk assessment, Cost-efficient, Database searches, Hybrid search strategies, Literature studies, Search procedures, Search strategies, Systematic literature review, Search engines
National Category
Software Engineering
Identifiers
urn:nbn:se:bth-22852 (URN)10.1016/j.infsof.2022.106908 (DOI)000912894400002 ()2-s2.0-85127808772 (Scopus ID)
Note

open access

Available from: 2022-04-22 Created: 2022-04-22 Last updated: 2023-12-04Bibliographically approved
Manzano, M., Ayala, C. P., Gómez, C., Abherve, A., Franch, X. & Mendes, E. (2021). A Method to Estimate Software Strategic Indicators in Software Development: An Industrial Application. Information and Software Technology, 129, Article ID 106433.
Open this publication in new window or tab >>A Method to Estimate Software Strategic Indicators in Software Development: An Industrial Application
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2021 (English)In: Information and Software Technology, ISSN 0950-5849, E-ISSN 1873-6025, Vol. 129, article id 106433Article in journal (Refereed) Published
Abstract [en]

Context: Exploiting software development related data from software-development intensive organizations to support tactical and strategic decision making is a challenge. Combining data-driven approaches with expert knowledge has been highlighted as a sensible approach for leading software-development intensive organizations to rightful decision-making improvements. However, most of the existing proposals lack of important aspects that hinders their industrial uptake such as: customization guidelines to fit the proposals to other contexts and/or automatic or semi-automatic data collection support for putting them forward in a real organization. As a result, existing proposals are rarely used in the industrial context. Objective: Support software-development intensive organizations with guidance and tools for exploiting software development related data and expert knowledge to improve their decision making. Method: We have developed a novel method called SESSI (Specification and Estimation of Software Strategic Indicators) that was articulated from industrial experiences with Nokia, Bittium, Softeam and iTTi in the context of Q-Rapids European project following a design science approach. As part of the industrial summative evaluation, we performed the first case study focused on the application of the method. Results: We detail the phases and steps of the SESSI method and illustrate its application in the development of ModelioNG, a software product of Modeliosoft development firm. Conclusion: The application of the SESSI method in the context of ModelioNG case study has provided us with useful feedback to improve the method and has evidenced that applying the method was feasible in this context. © 2020 Elsevier B.V.

Place, publisher, year, edition, pages
Elsevier B.V., 2021
Keywords
Case Study, Decision-making support, Design Science, Estimation model, Software Strategic Indicator, Application programs, Decision making, Knowledge management, Data-driven approach, European project, Expert knowledge, Industrial context, Industrial experience, ITS applications, Software products, Strategic decision making, Software design
National Category
Software Engineering
Identifiers
urn:nbn:se:bth-20562 (URN)10.1016/j.infsof.2020.106433 (DOI)000583428200011 ()
Funder
EU, Horizon 2020, 732253
Available from: 2020-10-19 Created: 2020-10-19 Last updated: 2023-12-04Bibliographically approved
Projects
AGILE- eAm aliGnment: Improving quaLity and pErformance [20190078]; Blekinge Institute of Technology; Publications
Vishnubhotla, S. D. & Mendes, E. (2024). Examining the effect of software professionals’ personality & additional capabilities on agile teams’ climate. Journal of Systems and Software, 214, Article ID 112054. Vishnubhotla, S. D. & Mendes, E. (2024). Exploring the relation between personality traits and agile team climate: Aggregating results from a twice replicated study in a telecom company. Journal of Systems and Software, 210, Article ID 111937. Vishnubhotla, S. D. (2024). Towards Investigating Capability Measures and Their Influence on Agile Team Climate. (Doctoral dissertation). Karlskrona: Blekinge Tekniska Högskola
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0003-0449-5322

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