Zobrazeno 1 - 10
of 2 238
pro vyhledávání: '"XING, Ying"'
Publikováno v:
Journal of Software [2024]
In recent years, defect prediction techniques based on deep learning have become a prominent research topic in the field of software engineering. These techniques can identify potential defects without executing the code. However, existing approaches
Externí odkaz:
http://arxiv.org/abs/2405.10511
Bug fixing holds significant importance in software development and maintenance. Recent research has made notable progress in exploring the potential of large language models (LLMs) for automatic bug fixing. However, existing studies often overlook t
Externí odkaz:
http://arxiv.org/abs/2308.14460
Publikováno v:
Journal of Software [2023]
Despite their ability to aid developers in detecting potential defects early in the software development life cycle, static analysis tools often suffer from precision issues (i.e., high false positive rates of reported alarms). To improve the availab
Externí odkaz:
http://arxiv.org/abs/2306.15568
Publikováno v:
Journal of Computer Science and Technology (JCST) [2024]
Generating meaningful assert statements is one of the key challenges in automated test case generation, which requires understanding the intended functionality of the tested code. Recently, deep learning-based models have shown promise in improving t
Externí odkaz:
http://arxiv.org/abs/2305.14808
Automated program repair is a crucial task for improving the efficiency of software developers. Recently, neural-based techniques have demonstrated significant promise in generating correct patches for buggy code snippets. However, most existing appr
Externí odkaz:
http://arxiv.org/abs/2305.09315