Course Info

SE 579: Analytics and Data Mining in Software Engineering

This courses discusses the application of selected statistical analysis, data mining, and machine learning techniques to the area of Software Engineering. These techniques are used for purposes as varied as stakeholder analysis, mining software repositories, trace retrieval, bug prediction, recommender systems in Software Engineering domains, and software process improvement techniques. The course demonstrates how these techniques can be used to enhance project management and other software engineering activities in software intensive systems and provides students with hands-on experience using them on real project data. (No prior knowledge of data mining and knowledge management is assumed.) PREREQUISITE(S): SE 450