Improving IR-Based Bug Localization with Context-Aware Query Reformulation
git clone https://github.com/masud-technope/BLIZZARD-Replication-Package-ESEC-FSE2018.git
Abstract: Recent findings suggest that Information Retrieval (IR)-based bug localization techniques do not perform well if the bug report lacks rich structured information (e.g., relevant program entity names). Conversely, excessive structured information (e.g., stack traces) in the bug report might not always help the automated localization either. In this paper, we propose a novel technique--BLIZZARD-- that automatically localizes buggy entities from project source using appropriate query reformulation and effective information retrieval. In particular, our technique determines whether there are excessive program entities or not in a bug report (query), and then applies appropriate reformulations to the query for bug localization. Experiments using 5,139 bug reports show that our technique can localize the buggy source documents with 7%--56% higher Hit@10, 6%--62% higher MAP@10 and 6%--62% higher MRR@10 than the baseline technique. Comparison with the state-of-the-art techniques and their variants report that our technique can improve 19% in MAP@10 and 20% in MRR@10 over the state-of-the-art, and can impro 59% of the noisy queries and 39% of the poor queries.
Experimental Data & Replication Package
Download from Google Drive
Please contact Masud Rahman for any question.BLIZZARD Plug-in
Replication package contains a functional prototype. We are also working on a potential IDE-based plug-in.
Related Publication(s)
- M. Masudur Rahman and C.K. Roy, "Improving IR-Based Bug Localization with Context-Aware Query Reformulation", In Proceeding of The 26th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE 2018), pp. 12, Florida, USA, November, 2018 (Acceptance rate: 19%)
- M. Masudur Rahman and C.K. Roy, "Poster: Improving Bug Localization with Report Quality Dynamics and Query Reformulation", In Proceeding of The 40th International Conference on Software Engineering (Companion volume, Poster Track) (ICSE 2018), pp. 348--349, Gothenburg, Sweden, May, 2018
@INPROCEEDINGS{fse2018masud,
author={Rahman, M. M. and Roy, C. K.},
booktitle={Proc. ESEC/FSE},
title={Improving IR-Based Bug Localization with Context-Aware Query Reformulation},
year={2018},
pages={12}
}
@INPROCEEDINGS{icse2018masud,
author={Rahman, M. M. and Roy, C. K.},
booktitle={Proc. ICSE-C},
title={Improving Bug Localization with Report Quality Dynamics and Query Reformulation},
year={2018},
pages={348-349}
}
← Check out other tools by Masud Rahman
© Masud Rahman, Computer Science, University of Saskatchewan, Canada.