ACTIVE LEARNING SOURCE CODE REVIEW FRAMEWORK

摘要

Technologies are described to provide an active learning source code review framework. In some examples, a method to review source code under this framework may include extracting semantic code features from a source code under review. The method may also include training an error classifier based on the extracted semantic code features, and selecting a candidate code section of the source code under review for discrete review. The method may further include facilitating discrete review of the selected candidate code section, updating the error classifier based on a result of the discrete review of the selected candidate code section, and generating an automated review of the source code under review based on the updating of the error classifier.