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Analyzing the Decision Criteria of Software Developers Based on Prospect Theory

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dc.contributor.author Kina, Kanako
dc.contributor.author Tsunoda, Masateru
dc.contributor.author Hata, Hideaki
dc.contributor.author Tamada, Haruaki
dc.contributor.author Igaki, Hiroshi
dc.date.accessioned 2018-10-30T04:57:13Z
dc.date.available 2018-10-30T04:57:13Z
dc.date.issued 2016
dc.identifier.uri http://hdl.handle.net/10061/12732
dc.description SANER 2016 : 2016 IEEE 23rd International Conference on Software Analysis, Evolution, and Reengineering, 14-18 March 2016, Suita, Japan
dc.description.abstract To enhance the quality of software, many software development support tools and software development methodologies have been proposed. However, not all proposed tools and methodologies are widely used in software development. We assume that the evaluation of tools and methodologies by developers is different from the evaluation by researchers, and that this is one of the reasons why the tools and methodologies are not widely used. We analyzed the decision criteria of software developers as applied to the tools and methodologies, to clarify whether the difference exists or not. In behavioral economics, there are theories which assume people have biases, and they do not always act reasonably. In the experiment, we made a questionnaire based on behavioral economics, and collected answers from open source software developers. The results suggest that developers do not always act to maximize expected profit because of the certainty effect and ambiguity aversion. Therefore, we should reconsider the evaluation criteria of tools such as the f-measure or AUC, which mainly focus on the expected profit.
dc.language.iso en
dc.publisher IEEE
dc.rights c Copyright IEEE 2016
dc.subject software tools
dc.subject decision criteria
dc.subject prospect theory
dc.subject software development support tools
dc.subject behavioral economics
dc.subject open source software developers
dc.subject ambiguity aversion
dc.subject evaluation criteria
dc.subject f-measure
dc.subject AUC
dc.subject Economics
dc.subject Predictive models
dc.subject Unified modeling language
dc.subject Open source software
dc.subject Information science
dc.subject Focusing
dc.subject evaluation criteria
dc.subject fault prediction
dc.subject behavioral economics
dc.subject human factor
dc.title Analyzing the Decision Criteria of Software Developers Based on Prospect Theory
dc.type.nii Conference Paper
dc.identifier.fulltexturl https://doi.org/10.1109/SANER.2016.115
dc.textversion author
dc.identifier.spage 644
dc.identifier.epage 648
dc.relation.doi 10.1109/SANER.2016.115
dc.identifier.NAIST-ID 73299364


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