Software Defect Prediction: Research Trends and Insights from China and Abroad

Software defect prediction research has been continuously developing both domestically and internationally. Foreign research mainly focuses on areas such as 'machine learning', 'data mining', and 'statistical analysis' to predict future defects by analyzing and modeling historical software data. Domestic research places more emphasis on defect prevention and management during the software development process, including 'defect localization' and 'repair', 'defect evaluation' and 'measurement', and other related research. In addition, research in both domestic and foreign areas also involves cross-research in multiple fields such as 'software testing', 'artificial intelligence', and 'software engineering'.