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Title: Temporal Discounting in Software Engineering: A Replication Study
Authors: Fagerholm, Fabian
Becker, Christoph
Chatzigeorgiou, Alexander
Betz, Stefanie
Duboc, Leticia
Penzenstadler, Birgit
Mohanani, Rahul
Venters, Colin
Type: Conference Paper
Subjects: FRASCATI::Natural sciences::Computer and information sciences
Keywords: intertemporal choice
temporal discounting
technical debt
decision making
behavioral software engineering
Issue Date: 26-Jun-2019
Volume Title: 13th ACM/IEEE International Symposium of Empirical Software Engineering and Measurement (ESEM 2019)
Abstract: Background: Many decisions made in Software Engineering practices are intertemporal choices: trade-offs in time between closer options with potential short-term benefit and future options with potential long-term benefit. However, how software professionals make intertemporal decisions is not well understood. Aim: This paper investigates how shifting time frames influence preferences in software projects in relation to purposefully selected background factors. Method: We investigate temporal discounting by replicating a questionnaire-based observational study. The replication uses a changed-population and -experimenter design to increase the internal and external validity of the original results. Results: The results of this study confirm the occurrence of temporal discounting in samples of both professional and student participants from different countries and demonstrate strong variance in discounting between study participants. We found that professional experience influenced discounting. Participants with broader professional experience exhibited less discounting than those with narrower experience. Conclusions: The results provide strong empirical support for the relevance and importance of temporal discounting in SE and the urgency of targeted interdisciplinary research to explore the underlying mechanisms and their theoretical and practical implications. The results suggest that technical debt management could be improved by increasing the breadth of experience available for critical decisions with long-term impact. In addition, the present study provides a methodological basis for replicating temporal discounting studies in software engineering.
Appears in Collections:Department of Applied Informatics

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