Auction-Based Serious Game for Bug Tracking
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Date
2019
Journal Title
Journal ISSN
Volume Title
Publisher
Wiley
Open Access Color
GOLD
Green Open Access
Yes
OpenAIRE Downloads
OpenAIRE Views
Publicly Funded
Yes
Abstract
Today, one of the challenges in software engineering is utilising 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, the authors 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, they 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. They 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.
Description
Clarke, Paul/0000-0002-4487-627X; Tuzun, Eray/0000-0002-5550-7816; Yilmaz, Murat/0000-0002-2446-3224
Keywords
Monte Carlo Methods, Program Debugging, Software Development Management, Computer Games, Software Maintenance, Public Domain Software, Software Engineering, Project Management, Auction-Based Serious Game, Bug Tracking, Software Engineering, Utilising Application Lifecycle Management, Software Development, Software Developers, Alm Tools, Important Metrics, Mean Time, Average Time, Reported Bug, Serious Game Application, Auction-Based Reward Mechanism, Software Practitioners, Bugs, Software engineering, 330, Public domain software, Project management, Computer games, Software development management, Monte Carlo methods, Software maintenance, Program debugging, 004
Fields of Science
0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology
Citation
WoS Q
Q3
Scopus Q
Q2

OpenCitations Citation Count
7
Source
IET Software
Volume
13
Issue
5
Start Page
386
End Page
392
PlumX Metrics
Citations
CrossRef : 7
Scopus : 5
Captures
Mendeley Readers : 57
SCOPUS™ Citations
6
checked on Feb 24, 2026
Web of Science™ Citations
6
checked on Feb 24, 2026
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