Journal of Computer Technology and Software

Vol. 1 No. 2 (2022)
Articles

Enhancing Fault Localization in Software Maintenance Using Natural Language Processing Techniques

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  • Emily Johnson

Published 2022-04-30

How to Cite

Johnson, E. (2022). Enhancing Fault Localization in Software Maintenance Using Natural Language Processing Techniques. Journal of Computer Technology and Software, 1(2). Retrieved from https://ashpress.org/index.php/jcts/article/view/44
Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

This paper presents a natural language processing-based defect localization methodology to identify and locate software defects in source code reviews. The methodology utilizes text mining and natural language processing techniques to extract defect-related information from software source code commit messages and bug reports. Through a series of experiments on a real-world dataset, we evaluate the effectiveness and efficiency of the proposed methodology in identifying and locating defects in software systems.

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