Impact of Bug Reporter's Reputation on Bug-Fix Times

Software Analytics is gaining momentum as a result of involved empirical research in enhancing quality and productivity of software engineering activities. There have been rigorous research efforts in the areas of bug prediction and testing effort prediction by making use of historical data. The problem of predicting bug fix times is an interesting problem with lots of advantages to industry but there have been limited efforts to solve this problem. We introduce a new feature, the score of bug reporter, to predict bug fix time. The prediction accuracies of proposed model built with the new feature along with the other prominent features are found to be better than existing models.

[1]  Iulian Neamtiu,et al.  Bug-fix time prediction models: can we do better? , 2011, MSR '11.

[2]  Andreas Zeller,et al.  How Long Will It Take to Fix This Bug? , 2007, Fourth International Workshop on Mining Software Repositories (MSR'07:ICSE Workshops 2007).

[3]  Westley Weimer,et al.  Modeling bug report quality , 2007, ASE '07.

[4]  Thomas Zimmermann,et al.  Analytics for software development , 2010, FoSER '10.

[5]  Philip J. Guo,et al.  Characterizing and predicting which bugs get fixed: an empirical study of Microsoft Windows , 2010, 2010 ACM/IEEE 32nd International Conference on Software Engineering.

[6]  Sunghun Kim,et al.  How long did it take to fix bugs? , 2006, MSR '06.

[7]  Lucas D. Panjer Predicting Eclipse Bug Lifetimes , 2007, Fourth International Workshop on Mining Software Repositories (MSR'07:ICSE Workshops 2007).

[8]  M. Kholief,et al.  Bug fix-time prediction model using naïve Bayes classifier , 2012, 2012 22nd International Conference on Computer Theory and Applications (ICCTA).

[9]  Mladen A. Vouk,et al.  On predicting the time taken to correct bug reports in open source projects , 2009, 2009 IEEE International Conference on Software Maintenance.

[10]  Harald C. Gall,et al.  Predicting the fix time of bugs , 2010, RSSE '10.