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An auction-based serious game for bug tracking

Üsfekes, Çağdaş, Tüzün, Eray orcid logoORCID: 0000-0002-5550-7816, Yilmaz, Murat orcid logoORCID: 0000-0002-2446-3224, Macit, Yagup and Clarke, Paul orcid logoORCID: 0000-0002-4487-627X (2019) An auction-based serious game for bug tracking. IET Software, 13 (5). pp. 386-392. ISSN 1751-8806

Abstract
Today, one of the challenges in software engineering is utilizing application lifecycle management (ALM) tools effectively in software development. In particular, it is hard for software developers to engage with the work items that are appointed to themselves in these ALM tools. In this study, we have focused on bug tracking in ALM where one of the most important metrics is mean time to resolution that is the average time to fix a reported bug. To improve this metric, we developed a serious game application based on an auction-based reward mechanism. The ultimate aim of this approach is to create an incentive structure for software practitioners to find and resolved bugs that are auctioned where participants are encouraged to solve and test more bugs in less time and improve quality of software development in a competitive environment. We conduct hypothesis tests by performing a Monte Carlo simulation. The preliminary results of this research support the idea that using a gamification approach for an issue tracking system enhances the productivity and decreases mean time to resolution.
Metadata
Item Type:Article (Published)
Refereed:Yes
Subjects:Computer Science > Software engineering
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Research Initiatives and Centres > Lero: The Irish Software Engineering Research Centre
Publisher:Institution of Engineering and Technology (IET)
Official URL:http://dx.doi.org/10.1049/iet-sen.2018.5144
Copyright Information:© 2019 Institution of Engineering and Technology (IET)
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Science Foundation Ireland grant 13/RC/2094.
ID Code:23886
Deposited On:23 Oct 2019 11:23 by Thomas Murtagh . Last Modified 26 Apr 2022 14:47
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