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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: 2019-04-04Bibliographically approved

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Vishnubhotla, Sai DattaMendes, EmiliaLundberg, Lars

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