Software analytics in practice and its implications for education and training

Summary form only given. Software analytics is to enable software practitioners to perform data exploration and analysis in order to obtain insightful and actionable information for data-driven tasks around software and services. In this talk, based on the success of technology transfer on software analytics at Microsoft Research Asia, I will share our experiences in carrying out successful technology transfers mainly including (1) incorporation of a broad spectrum of domain knowledge and expertise, e.g., management, machine learning, large-scale data processing and computing, and information visualization; and (2) investigation into how practitioners take actions on the produced information, and providing effective support for such information-based action taking. I will talk about the implications of our experiences for software engineering education and training, such as skill-set requirements, curriculum development, and academia-Industry collaboration.