Towards semantically enhanced detection of emerging quality-related concerns in source code

Author:

Krasniqi RrezartaORCID,Do Hyunsook

Publisher

Springer Science and Business Media LLC

Subject

Safety, Risk, Reliability and Quality,Software

Reference154 articles.

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3. Ahmad, A., Feng, C., Li, K., Asim, S. M., & Sun, T. (2019). Toward Empirically Investigating Non-Functional Requirements of IOS Developers on Stack Overflow. IEEE Access, 7, 61145–61169.

4. Aho, A. V., Lam M. S., Sethi, R., & Ullman, J. D. (2007). Compilers: Principles, Techniques, & Tools. Pearson Education India.

5. Allamanis, M., Tarlow, D., Gordon, A., & Wei, Y. (2015). Bimodal Modelling of Source Code and Natural Language. In International Conference on Machine Learning, pp. 2123–2132.

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Capturing Contextual Relationships of Buggy Classes for Detecting Quality-Related Bugs;2023 IEEE International Conference on Software Maintenance and Evolution (ICSME);2023-10-01

2. Detecting Scattered and Tangled Quality Concerns in Source Code to Aid Maintenance and Evolution Tasks;2023 IEEE/ACM 45th International Conference on Software Engineering: Companion Proceedings (ICSE-Companion);2023-05

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