Software engineering is a highly complex endeavor. Software engineers today perform complex tasks that involve the creative creation and comprehension of complex information, such as: code structure, implementation rationale, dynamic software behavior, change implications, and development team dynamics. At the same time, software engineers also spend large amounts of time performing mechanical work --- dealing with complex software development tools --- to be able to perform their tasks. 

The field of software engineering analytics and automation aims to improve the software engineering discipline in two ways: first, by performing analytics on the software development process to achieve an understanding of the problematic software engineering tasks and their efficiency bottlenecks; second, by developing automatic techniques that leverage such understanding to support software developers in performing their tasks more effectively and efficiently.

In this graduate seminar, we will discuss the state-of-the-art research works in software engineering analytics and automation. The students will also work on research projects to develop novel techniques in this area.