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Source Code Retrieval for Bug Localization using Bug Report
2019 IEEE 15th International Conference on Intelligent Computer Communication and Processing (ICCP), 2019Bug localization helps software developers to track post-released faulty source files with the help of user’s reported bug files. Information retrieval (IR) based bug localization have been widely used in recent years. It recommends relevant faulty source files to fix according to their highest similarity scores.
Kyaw Ei Ei Swe, Hnin Min Oo
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Bug Localization Based on Code Change Histories and Bug Reports
2015 Asia-Pacific Software Engineering Conference (APSEC), 2015A bug report is mainly used to find a fault location in software maintenance. It contains several fields such as summary, description, status and version. The description field includes detail scenario and stack traces if exceptional messages are presented.
Klaus Changsun Youm +3 more
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Lightweight bug localization with AMPLE
Proceedings of the sixth international symposium on Automated analysis-driven debugging, 2005AMPLE locates likely failure-causing classes by comparing method call sequences of passing and failing runs. A difference in method call sequences, such as multiple deallocation of the same resource, is likely to point to the erroneous class. Such sequences can be collected from arbitrary Java programs at low cost; comparing object-specific sequences ...
Valentin Dallmeier +2 more
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Detecting bug duplicate reports through local references
Proceedings of the 7th International Conference on Predictive Models in Software Engineering, 2011Background: Bug Tracking Repositories, such as Bugzilla, are designed to support fault reporting for developers, testers and users of the system. Allowing anyone to contribute finding and reporting faults has an immediate impact on software quality. However, this benefit comes with at least one side-effect.
Prifti, Tomi +2 more
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Augmented bug localization using past bug information
Proceedings of the 48th Annual Southeast Regional Conference, 2010Traditional bug localization techniques involve a developer using his or her knowledge of the software system to locate bugs in source code. Various automated techniques simulate knowledge of the system using source code retrieval models such as latent semantic indexing (LSI) and latent Dirichlet allocation (LDA). While these methods do an adequate job,
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Are Bug Reports Enough for Text Retrieval-Based Bug Localization?
2018 IEEE International Conference on Software Maintenance and Evolution (ICSME), 2018Text Retrieval (TR) has been widely used to support many software engineering tasks, including bug localization (i.e., the activity of localizing buggy code starting from a bug report). Many studies show TR's effectiveness in lowering the manual effort required to perform this maintenance task; however, the actual usefulness of TR-based bug ...
Chris Mills +4 more
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Spectrum-Based Bug Localization of Real-World Java Bugs
2019The localization of software bug is one of the most expensive tasks of program repair technology. Hence, there is a great demand for automated bug localization techniques that allow a programmer to be monitored up to the location of the error with little human arbitration.
Cherry Oo, Hnin Min Oo
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On the Value of Bug Reports for Retrieval-Based Bug Localization
2018 IEEE International Conference on Software Maintenance and Evolution (ICSME), 2018Software engineering researchers have been applying tools and techniques from information retrieval (IR) to problems such as bug localization to lower the manual effort required to perform maintenance tasks. The central challenge when using an IR-based tool is the formation of a high-quality query.
Dawn Lawrie, Dave Binkley
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Bug Localization by Learning to Rank and Represent Bug Inducing Changes
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018In software development, bug localization is the process finding portions of source code associated to a submitted bug report. This task has been modeled as an information retrieval task at source code file, where the report is the query. In this work, we propose a model that, instead of working at file level, learns feature representations from source
Pablo Loyola +2 more
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Enhancing Bug Localization through Bug Report Summarization
2023 IEEE International Conference on Data Mining (ICDM), 2023Xia Zhang, Ziye Zhu, Yun Li
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