Automated Source Code Changes Classification for Effective Code Review and Analysis
Evgeny Knyazev · Proceedings of the Spring/Summer young researchers' colloquium on software engineering · 2008
Software development process is a complex sequence of actions having source code of working system as a result.All project participants should track changes in source code during work process to know what's happening.However to make «manual» code review everyone should have corresponding technical skills and a lot of time to spend.This work describes usage of automated source code changes classification aimed to control source code evolution.The method bases on statistical clusterization of change metrics.In this work we show usage of automatic classification of changes to optimize code review and code change control on final development stages.Development process report building is also shown.