Measuring affective states from technical debt

Author:

Olsson JesperORCID,Risfelt Erik,Besker Terese,Martini Antonio,Torkar Richard

Abstract

Abstract Context Software engineering is a human activity. Despite this, human aspects are under-represented in technical debt research, perhaps because they are challenging to evaluate. Objective This study’s objective was to investigate the relationship between technical debt and affective states (feelings, emotions, and moods) from software practitioners. Method Forty participants (N = 40) from twelve companies took part in a mixed-methods approach, consisting of a repeated-measures (r = 5) experiment (n = 200), a survey, and semi-structured interviews. From the qualitative data, it is clear that technical debt activates a substantial portion of the emotional spectrum and is psychologically taxing. Further, the practitioners’ reactions to technical debt appear to fall in different levels of maturity. Results The statistical analysis shows that different design smells (strong indicators of technical debt) negatively or positively impact affective states. Conclusions We argue that human aspects in technical debt are important factors to consider, as they may result in, e.g., procrastination, apprehension, and burnout.

Funder

Marianne and Marcus Wallenberg Foundation

Chalmers University of Technology

Publisher

Springer Science and Business Media LLC

Subject

Software

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Guidelines for using financial incentives in software-engineering experimentation;Empirical Software Engineering;2024-08-10

2. The broken windows theory applies to technical debt;Empirical Software Engineering;2024-05-24

3. The Type to Take Out a Loan? A Study of Developer Personality and Technical Debt;2023 ACM/IEEE International Conference on Technical Debt (TechDebt);2023-05

4. An architecture smell knowledge base for managing architecture technical debt;Proceedings of the International Conference on Technical Debt;2022-05-16

5. Human Aspects in Software Development: A Systematic Mapping Study;Collaboration Technologies and Social Computing;2022

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