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Measuring affective states from technical debt

Empirical software engineering : an international journal, 2021-10, Vol.26 (5) [Peer Reviewed Journal]

The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;info:eu-repo/semantics/openAccess ;ISSN: 1382-3256 ;EISSN: 1573-7616 ;DOI: 10.1007/s10664-021-09998-w

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  • Title:
    Measuring affective states from technical debt
  • Author: Olsson Jesper ; Risfelt Erik ; Besker Terese ; Martini, Antonio ; Torkar, Richard
  • Subjects: Affect (Psychology) ; Human influences ; Qualitative analysis ; Software engineering ; Statistical analysis
  • Is Part Of: Empirical software engineering : an international journal, 2021-10, Vol.26 (5)
  • Description: 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.
  • Publisher: Dordrecht: Springer Nature B.V
  • Language: English;Norwegian
  • Identifier: ISSN: 1382-3256
    EISSN: 1573-7616
    DOI: 10.1007/s10664-021-09998-w
  • Source: NORA Norwegian Open Research Archives
    ProQuest Central
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