Auction‐based serious game for bug tracking. Issue 5 (1st October 2019)

• Record Type: Journal Article
• Authors: Üsfekes, Çağdaş; Tüzün, Eray; Yılmaz, Murat; Macit, Yagup; Clarke, Paul
• Is Part Of: IET software. Volume 13:Issue 5(2019)
• Page Start: 386
• Page End: 392
• Publication Date: 2019-10-01
• Subjects: 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; Computer software -- Periodicals; Software engineering -- Periodicals; 005.1
• DOI: 10.1049/iet-sen.2018.5144
• Languages: English
• ISSNs: 1751-8806

Abstract

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.