Effective Bug Triage for Non-Reproducible Bugs
Anjali Goyal · 2017
The objective of this research work is to develop a proficient recommender system for effective bug triaging. To build this we initiated with introducing a novel time based model, Visheshagya, for bug report assignment. Subsequently, we propose a novel AHP based bug assignment approach, W8Prioritizer, based on bug parameter prioritization. We further extend our work for triaging Non-reproducible (NR) bugs, the bugs for which the developer faces difficulty in reproducing. However, certain fraction of these bugs gets fixed later. We propose a novel prediction model, NRFixer to predict the fixability of bug reports marked as NR. In the future, we plan to work on bug report assignment for fixable NR bugs using Visheshagya and W8Prioritizer. Overall our initial results are encouraging and shows the possibility of making a robust recommender system for effective bug report assignment for both reproducible (R) and NR bugs.