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An insight into the capabilities of professionals and teams in agile software development: A systematic literature review
Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science and Engineering.ORCID iD: 0000-0002-0983-8817
Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science and Engineering. Blekinge Institute of Technology, Faculty of Computing, Department of Software Engineering.
Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science and Engineering.
2018 (English)In: PROCEEDINGS OF 2018 7TH INTERNATIONAL CONFERENCE ON SOFTWARE AND COMPUTER APPLICATIONS (ICSCA 2018), Association for Computing Machinery , 2018, p. 10-19Conference paper, Published paper (Refereed)
Abstract [en]

Background: Previous studies investigated key characteristics of software engineers and factors influencing the performance of individuals, productivity of teams and project success within agile software development (ASD). They aided in the active investigation of human aspects in ASD. However, capability measurement and prediction with respect to agile workforce, owing to its importance, is an area that needs spotlight. Objective: The objective of this paper is to present the state of the art relating to capability measurement of software engineers and teams working in ASD projects. Method: We carried out a systematic literature review (SLR) focused on identifying attributes used for measuring and predicting the capabilities of individual software engineers and teams. Results: Evidence from 16 studies showed attributes that can measure capabilities of engineers and teams, and also attributes that can be used as capability predictors. Further, different instruments used to measure those attributes were presented. Conclusions: The SLR presented a wide list of attributes that were grouped into various categories. This information can be used by project managers as, for example, a checklist to consider when allocating software engineers to teams and in turn teams to a project. Further, this study indicated the necessity for an investigation into capability prediction models. © 2018 Association for Computing Machinery.

Place, publisher, year, edition, pages
Association for Computing Machinery , 2018. p. 10-19
Keywords [en]
Agile software development, Capability measurement, Capability prediction, Competence, Individual capability, Systematic literature review, Team capability, Application programs, Engineers, Forecasting, Human resource management, Software design
National Category
Software Engineering
Identifiers
URN: urn:nbn:se:bth-16644DOI: 10.1145/3185089.3185096ISI: 000461243700003Scopus ID: 2-s2.0-85048487301ISBN: 9781450354141 (print)OAI: oai:DiVA.org:bth-16644DiVA, id: diva2:1228526
Conference
7th International Conference on Software and Computer Applications, ICSCA 2018, Kuantan, Malaysia
Available from: 2018-06-28 Created: 2018-06-28 Last updated: 2019-10-16Bibliographically approved
In thesis
1. Which Abilities and Attitudes Matter Most?: Understanding and Investigating Capabilities in Industrial Agile Contexts
Open this publication in new window or tab >>Which Abilities and Attitudes Matter Most?: Understanding and Investigating Capabilities in Industrial Agile Contexts
2019 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

Background: Over the past decades, advancements in the software industry and the prevalence of Agile Software Development (ASD) practices have increased the prominence of individual and interpersonal skills. The humancentric nature of ASD practices makes it imperative to identify and to assign a capable professional to a team. While capabilities of professionals influence team performance and lead the path to a project’s success, the area of capability measurement in ASD remains largely unexplored.

Objectives: This thesis aims to aggregate evidence from both the state of the art and practice to understand capability measurement in ASD. Further, to support research and practice towards composing agile teams, this thesis also investigates the effects of capability measures on team-level aspects (team performance and team climate) within industrial contexts.

Method: A mixed-methods approach was employed to address the thesis’ objectives. A Systematic Literature Review (SLR) and an industrial survey were conducted to identify and gather evidence in relation to individual and team capability measures, which are pertinent to ASD context. A case study and another industrial survey were carried out to provide insights and extend support towards agile team composition.

Results: Our SLR results showed that a major portion of former studies discussed capability measures in relation to affective, communication, interpersonal and personal aspects. Results from our survey also aligned with these findings, where, measures associated with the aforementioned aspects were observed to be widely known to practitioners and were also perceived by them as highly relevant in ASD contexts. Our case study conducted at a small-sized organization revealed multiple professional capability measures to be affecting team performance. Whereas, our survey conducted at a large-sized organization identified an individual’s ability to easily get along with other team members (agreeableness personality trait) to have a significant positive influence on the person’s perceived level of team climate.

Conclusion: In this thesis, the empirical evidence gathered by employing mixed-methods and examining diverse organizational contexts, contributed towards better realization of capability measurement in ASD. In order to extend support towards team composition in ASD, this thesis presents two approaches. The first approach is based on developing an agile support tool that coordinates capability assessments and team composition. The second approach is based on establishing team climate forecasting models that can provide insights about how the perceived level of climate within a team would vary based on its members’ personalities. However, in order to improve both approaches, it is certainly necessary to examine the effects of diverse capability measures.

Place, publisher, year, edition, pages
Karlskrona: Blekinge Tekniska Högskola, 2019
Series
Blekinge Institute of Technology Licentiate Dissertation Series, ISSN 1650-2140 ; 13
National Category
Software Engineering
Identifiers
urn:nbn:se:bth-18753 (URN)978-91-7295-386-4 (ISBN)
Presentation
2019-11-20, J1630, BTH, Karlskrona, 13:00 (English)
Opponent
Supervisors
Available from: 2019-10-22 Created: 2019-10-16 Last updated: 2019-12-06Bibliographically approved

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Vishnubhotla, Sai DattaMendes, EmiliaLundberg, Lars

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