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The Pandora's box of social, process, and people debts in software engineering
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
2024 (English)In: Journal of Software: Evolution and Process, ISSN 2047-7473, E-ISSN 2047-7481, Vol. 36, no 2, article id e2516Article in journal (Refereed) Published
Abstract [en]

In software engineering, technical debt (TD) has been widely investigated, but debt regarding social issues, people, and processes has not been explored as much. It should be noted here that we use nontechnical debt (NTD) as an umbrella term to cover social, process, and people debts. Although the number of studies on NTD in software is increasing, the majority of them are descriptive rather than rigorous, and there is no systematic development of cumulative knowledge. As a result, identifying the fundamental causes of NTD and the associated mitigation techniques in software engineering is challenging. Therefore, this study investigates the scientific evidence regarding NTD till date by conducting a systematic mapping review of software engineering research between January 2000 and October 2021. The search strategy resulted in 175 studies, 17 of which were identified as unique and relevant primary papers. The primary studies show that NTD and TD are inextricably linked. In addition, this study also captured a plethora of causes and mitigation strategies for managing NTD and thus makes four important contributions: (i) highlighting state-of-the-art NTD research; (ii) identification of the reported causes and mitigation strategies in the primary papers; and (iii) determination of opportunities for future NTD research.

Place, publisher, year, edition, pages
John Wiley & Sons, 2024. Vol. 36, no 2, article id e2516
Keywords [en]
agile, people debt, process debt, social debt, software development, systematic mapping review
National Category
Software Engineering
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:kau:diva-92277DOI: 10.1002/smr.2516ISI: 000865285100001Scopus ID: 2-s2.0-85139397546OAI: oai:DiVA.org:kau-92277DiVA, id: diva2:1706649
Funder
Karlstad UniversityKnowledge FoundationAvailable from: 2022-10-27 Created: 2022-10-27 Last updated: 2024-02-22Bibliographically approved

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Ahmad, Muhammad OvaisGustavsson, Tomas

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