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Enhancing Code Review Efficiency – Automated Pull Request Evaluation using Natural Language Processing and Machine Learning

Zydroń Przemysław Wincenty, Protasiewicz Jarosław

Advances in Science and Technology. Research Journal

2023

Vol. 17, no 4

162--167

The practice of code review is crucial in software development to improve code quality and promote knowledge exchange among team members. It requires identifying qualified reviewers with the necessary expertise and experience to thoroughly examine modifications suggested in a pull request and improve the efficiency of the code review process. However, it can be costly and time-consuming for maintainers to manually assign suitable reviewers to each request for large-scale projects. To address this challenge, various techniques, including machine learning, heuristic-based algorithms, and social network analysis, have been employed to suggest reviewers for pull requests automatically.

Metodyka tworzenia oprogramowania a jakość kodu – analiza porównawcza dwóch przypadków

Zalewski B., Miłosz M.

Journal of Computer Sciences Institute

2016

Vol. 1

54--59

Jakość kodu zależy od stosowania dobrych praktyk jego wytwarzania. W artykule przedstawiono metryki pomiaru jakości kodu tworzonego zgodnie z paradygmatem obiektowym i narzędzia informatyczne wyznaczające ich wartości. Rozpatrzono dwa przypadki rozwoju oprogramowania przez różne zespoły w różny sposób zarządzane. Przeanalizowano jakość kodu w kolejnych pięciu wersjach programów. Rezultaty badań pozwoliły na sformułowanie wniosku o przewadze metodyki lekkiej, na co wskazują lepsze wartości większości metryk.

Code quality is strongly dependent on using best coding practices during it’s development. This paper presents various code quality metrics in object oriented programming and computer tools to it automatic measurement. Two cases of software development by two different teams were considered. Code quality was analyzed in five following program versions. This study shows better value of almost (but not all) code quality metrics developed using agile methodology. It raises the conclusion about agile methodology advantage.

Source code reviews on mobile devices

Frącz W., Dajda J.

Computer Science

2016

Vol. 17 (2)

143--161

This paper presents the results of an experiment-driven investigation on the efficiency of source code review practice performed on mobile devices. In particular, the conducted investigation tries to verify whether or not the small screens of mobile devices influence the speed and quality of the review process. Besides presenting the experiment itself and discussing the obtained results, this paper also describes the dedicated Android application for mobile code reviews that was implemented for research purposes.