Machine Learning for Software Engineering

Software repositories archive valuable software engineering data, such as source code, execution traces, historical code changes, mailing lists, and bug reports. This data contains a wealth of information about a project’s status and history.  
Advances in Machine Learning and AI technologies, as demonstrated by the successful application of Deep Neural Networks in various domains did not go unnoticed in the field of Software Engineering; researchers have applied machine learning to tackle different software engineering tasks. This course aims to give students a deep understanding of and hands-on approach on how deep neural networks and NLP techniques are used to represent knowledge and solve existing SE problems in novel ways.