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Identifying and Categorizing Challenges in Large-Scale Agile Software Development Projects: Insights from Two Swedish Companies
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013).
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013).ORCID iD: 0000-0002-7885-0369
Karlstad University, Faculty of Arts and Social Sciences (starting 2013), Karlstad Business School (from 2013).ORCID iD: 0000-0002-1512-6592
2023 (English)In: ACM SIGAPP Applied Computing Review, ISSN 1559-6915, E-ISSN 1931-0161, Vol. 23, no 2, p. 23-43Article in journal (Refereed) Published
Abstract [en]

We conducted a case study to examine the challenges encountered in large-scale agile development (LSAD) within two Swedish software companies. While agile methodologies have proven successful in small and medium-sized projects, their implementation in large-scale software development projects can be problematic. To identify these challenges, we employed thematic analysis, which revealed a total of 26 distinct challenges. These challenges were categorized into three main themes: Processes and practices, Teams, and Organizational-level challenges in LSAD. By recognizing and addressing these challenges, projects operating in similar contexts can synchronize their activities and harness the advantages of agile methodologies at a large scale. The article delves into comprehensive discussions on these challenges, offering valuable insights and directions for future research endeavors.

Place, publisher, year, edition, pages
Association for Computing Machinery (ACM), 2023. Vol. 23, no 2, p. 23-43
Keywords [en]
Large-scale Agile, Agile software development, Software development, empirical studies, software companies
National Category
Software Engineering
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:kau:diva-96397DOI: 10.1145/3555776.3577662ISI: 001035775600002OAI: oai:DiVA.org:kau-96397DiVA, id: diva2:1788834
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Knowledge FoundationAvailable from: 2023-08-17 Created: 2023-08-17 Last updated: 2023-08-17Bibliographically approved

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Saeeda, HinaAhmad, Muhammad OvaisGustavsson, Tomas

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