Implementing Deep Learning Architectures for Efficient Software Bug Detection and Fixing
Keywords:
Software Debugging; Multi-task Learning; Bug Detection; Severity Classification; Duplicate Bug Reports and Automated Bug Fix Generation.Abstract
Debugging is a crucial but time-consuming aspect of software engineering, often requiring
significant human effort. The high volume of bug reports, many of which contain duplicate
entries, poses challenges for traditional debugging methods to scale effectively, maintain
accuracy, and enable automation
References
A. Sheneamer, J. Kalita, “A survey of software clone detection techniques,” International Journal of Computer Applications, 137(10), pp. 1–21, 2016.
A. F. Otoom et al., “Severity prediction of software bugs,” ICICS, pp. 92–95, 2016. 3. Bello, R. W., & Otobo, F. N. (2018). Stored-knowledge based troubleshooting and
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Published
2021-07-21
How to Cite
Sai Krishna Reddy Mudhiganti. (2021). Implementing Deep Learning Architectures for Efficient Software Bug Detection and Fixing . Journal of Computational Analysis and Applications (JoCAAA), 29(4), 827–841. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/2952
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