Abstract

Big data analytic or artificial intelligence (AI) systems are software systems too; thus, software engineering for such software systems plays a critical role for improving development productivity and system dependability. On the other hand, a huge wealth of various data exists in software life cycle, including source code, feature specifications, bug reports, test cases, execution traces/logs, and real-world user feedback, etc. Data plays an essential role in modern software development, because hidden in the data is information about the quality of software and services as well as the dynamics of software development. In recent years, software analytics has emerged to utilize data-driven approaches to enable software practitioners to perform data exploration and analysis in order to obtain insightful and actionable information for completing various tasks around software and services. This talk presents an overview of recent achievements and future opportunities in the space of software engineering for big data & AI and big data for software engineering.