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Temporal Discounting in Software Engineering : A Replication Study

Fagerholm, Fabian (author)
Blekinge Tekniska Högskola,Institutionen för programvaruteknik
Becker, Christoph (author)
University of Toronto, CAN
Chatzigeorgiou, Alexander (author)
Panepistimion Makedonias, GRE
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Betz, Stefanie (author)
Hochschule Furtwangen, DEU
Duboc, Leticia (author)
La Salle Univ., ESP
Penzenstadler, Birgit (author)
Lappeenrannan Teknillinen Yliopisto, FIN
Mohanani, Rahul (author)
Indraprastha Institute of Information Technology, IND
Venters, Colin C. (author)
University of Huddersfield, GBR
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 (creator_code:org_t)
IEEE Computer Society, 2019
2019
English.
In: International Symposium on Empirical Software Engineering and Measurement. - : IEEE Computer Society. - 9781728129686
Related links:
https://urn.kb.se/re...
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https://doi.org/10.1...
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  • Conference paper (peer-reviewed)
Abstract Subject headings
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  • 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. © 2019 IEEE.

Subject headings

NATURVETENSKAP  -- Data- och informationsvetenskap -- Programvaruteknik (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Software Engineering (hsv//eng)

Keyword

behavioral software engineering
decision making
intertemporal choice
judgment
psychology
questionnaire
technical debt
technical debt management
temporal discounting
Economic and social effects
Professional aspects
Software engineering
Surveys
Inter-temporal choices
Technical debts

Publication and Content Type

ref (subject category)
kon (subject category)

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