Recognizing lines of code violating company-specific coding guidelines using machine learning
Recognizing lines of code violating company-specific coding guidelines using machine learning is a scholarly work, published in 2019 in ''Empirical Software Engineering''. The main subjects of the publication include software development, reliability engineering, static program analysis, artificial intelligence, software quality, source lines of code, code review, source code, codebase, Android, software, computer science, coding, machine learning, code, software engineering, and KPI driven code analysis. The authors were able to achieve the average accuracy of over 99% and the average F-score of 0.80 for open source projects when using ca. 40K lines for training the tool.