Breandan's Blog ·
Siddharth Karamcheti
Breandan's Blog ·
Breandan's Blog ·
Software has become an essential part of everyday life, and its development is producing enormous amounts of data. This includes not only source code, but also related artifacts such as change histories, test results, other execution behavior, bug reports, code reviews, and communications between developers. This constitutes an amazing wealth of rich and detailed information. At the same time, machine learning is flourishing, with a range of powerful new technologies achieving practical successes in many do
This workshop will bring together researchers interested in the intersection of software engineering and machine learning research. There is great promise in solving and assisting with software authoring and maintenance tasks such as coding, testing, debugging, porting, bug-patching, refactoring, optimizing, etc. Machine learning gives new tools for addressing software engineering research challenges, and software engineering challenges motivate new machine learning research. In the workshop we will discuss
We are delighted that the workshop will feature two invited speakers: Cindy Rubio González of the University of California at Davis, and Mayur Naik of the University of Pennsylvania.
Breandan's Blog ·
Siddharth Karamcheti
Breandan's Blog ·
Breandan's Blog ·