Temporal Discounting in Software Engineering: A Replication Study

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussavertaisarvioitu

Tutkijat

  • Fabian Fagerholm
  • Christoph Becker
  • Alexander Chatzigeorgiou
  • Stefanie Betz
  • Leticia Duboc
  • Birgit Penzenstadler
  • Rahul Mohanani
  • Colin C. Venters

Organisaatiot

  • Blekinge Institute of Technology
  • University of Toronto
  • University of Macedonia
  • University of Applied Sciences Furtwangen
  • La Salle Univ.
  • CSULB
  • Lappeenranta University of Technology
  • Indraprastha Institute of Information Technology Delhi
  • University of Huddersfield
  • University of Helsinki

Kuvaus

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.

Yksityiskohdat

AlkuperäiskieliEnglanti
OtsikkoProceedings - 13th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, ESEM 2019
TilaJulkaistu - 1 syyskuuta 2019
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisuussa
TapahtumaInternational Symposium on Empirical Software Engineering and Measurement - Porto de Galinhas, Brasilia
Kesto: 19 syyskuuta 201920 syyskuuta 2019
Konferenssinumero: 13

Julkaisusarja

NimiInternational Symposium on Empirical Software Engineering and Measurement
Vuosikerta2019-September
ISSN (painettu)1949-3770
ISSN (elektroninen)1949-3789

Conference

ConferenceInternational Symposium on Empirical Software Engineering and Measurement
LyhennettäESEM
MaaBrasilia
KaupunkiPorto de Galinhas
Ajanjakso19/09/201920/09/2019

ID: 40339615