Modern software development has generated a large quantity and variety of data. The use of Big Data Analytics techniques (e.g., mathematical statistics, machine learning) is beneficial for development efficiency, product quality, and business expansion. It is also helpful for management and decision-making. Big Data Analytics (BDA) group has continuously studied the state-of-the-art and state-of-the-practice of software engineering. The group has provided Internet and ICT companies with solutions for data collection, evaluation, and governance. Results and findings have been validated by domain experts and have been published in academic journals and patent applications. Join us if you are interested in applying data science to solve software engineering challenges.

List of Outcomes

Articles

Yang L, Zhang H, Shen H, et al. Quality assessment in systematic literature reviews: A software engineering perspective[J]. Information and Software Technology, 2021, 130: 106397.

Patents

马瑾瑜,张贺,杨岚心,等. 一种基于随机森林分类器的代码评审人推荐系统及方法 (已受理)

郑博文,张贺,杨岚心,等. 一种基于机器学习的代码评审意见质量评估系统及方法与流程 (已受理)

刘文港,张贺,杨岚心,等. 一种追踪引入缺陷提交的方法、系统及设备 (已受理)