Muhammad Ovais Ahmad , Vladimir Mandić , Nebojša Taušan , Andrej Katin , Pavithra Herath
{"title":"Technical debt is not just technical: An industrial case study in large agile software development","authors":"Muhammad Ovais Ahmad , Vladimir Mandić , Nebojša Taušan , Andrej Katin , Pavithra Herath","doi":"10.1016/j.jss.2025.112719","DOIUrl":null,"url":null,"abstract":"<div><div>Software organizations of all sizes are affected by the Technical debt phenomenon. Large organizations, however, are more prone to their non-technical aspects due to a large number of teams of different sizes, heterogeneity of expertise, and the need for continuous management and communication. This is even more emphasized in large agile software development contexts due to a focus on personal interactions and team collaboration, which consequently poses a challenge due to a significant increase in communication pathways. The goal of this study is to investigate non-technical aspects of technical debt in the context of large-scale agile software development. To achieve this objective, a case study involving four international companies was conducted. During the study, 24 experts were interviewed, and their responses were analyzed using a qualitative research approach. The analysis resulted in five non-technical aspects, which are: social dynamics, process, people, documentation, and requirements aspects, and their indicators, which are specific in a large-scale agile context. The study findings suggest that lack of communication, collaboration, and cooperation are the key contributors to identified debt aspects, technical debt accumulation through these non-technical aspects, and that many of the causes stem from a culture of not developing rules, protocols, or guidelines.</div></div>","PeriodicalId":51099,"journal":{"name":"Journal of Systems and Software","volume":"234 ","pages":"Article 112719"},"PeriodicalIF":3.8000,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Systems and Software","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0164121225003887","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/11/27 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"COMPUTER SCIENCE, SOFTWARE ENGINEERING","Score":null,"Total":0}
引用次数: 0
Abstract
Software organizations of all sizes are affected by the Technical debt phenomenon. Large organizations, however, are more prone to their non-technical aspects due to a large number of teams of different sizes, heterogeneity of expertise, and the need for continuous management and communication. This is even more emphasized in large agile software development contexts due to a focus on personal interactions and team collaboration, which consequently poses a challenge due to a significant increase in communication pathways. The goal of this study is to investigate non-technical aspects of technical debt in the context of large-scale agile software development. To achieve this objective, a case study involving four international companies was conducted. During the study, 24 experts were interviewed, and their responses were analyzed using a qualitative research approach. The analysis resulted in five non-technical aspects, which are: social dynamics, process, people, documentation, and requirements aspects, and their indicators, which are specific in a large-scale agile context. The study findings suggest that lack of communication, collaboration, and cooperation are the key contributors to identified debt aspects, technical debt accumulation through these non-technical aspects, and that many of the causes stem from a culture of not developing rules, protocols, or guidelines.
期刊介绍:
The Journal of Systems and Software publishes papers covering all aspects of software engineering and related hardware-software-systems issues. All articles should include a validation of the idea presented, e.g. through case studies, experiments, or systematic comparisons with other approaches already in practice. Topics of interest include, but are not limited to:
•Methods and tools for, and empirical studies on, software requirements, design, architecture, verification and validation, maintenance and evolution
•Agile, model-driven, service-oriented, open source and global software development
•Approaches for mobile, multiprocessing, real-time, distributed, cloud-based, dependable and virtualized systems
•Human factors and management concerns of software development
•Data management and big data issues of software systems
•Metrics and evaluation, data mining of software development resources
•Business and economic aspects of software development processes
The journal welcomes state-of-the-art surveys and reports of practical experience for all of these topics.