Welcome to PASED
Canadian Summer School on Practical Analyses of Software Engineering Data

Software engineering activities involves complex decision-making processes. These decisions must be supported by sound evidence built upon corporate knowledge, past project data and developer's judgement. Empirical software engineering provides techiniques to ease the evidence-building task.

The scientific goals of Canadian Summer School on Practical Analyses of Software Engineering Data (PASED) are: to disseminate the benefits of supporting decision-making processes using empirical evidence; to emphasize the use of empirical studies of all kinds to accumulate knowledge about software projects; to describe the application of methods and approaches borrowed from other research domains, such as psychology, biology, and social sciences, to analyse software engineering data; and, more generally, to bridge the gap between data-mining techniques for software repositories and empirical software engineering to build actionable knowledge via sound techniques to support decision making.

The educational objectives for this Canadian Summer School are: to provide Canadian researchers with a platform to discuss and collaborate on the state-of-the-practice, state-of-the-art, and future of analyses of software engineering data to maintain and advance Canada's leading role in empirical software engineering; to provide Canadian students with opportunities to learn both the needed background and the state-of-the-art techniques to excel in the emerging and important sub-domain of empirical software engineering; to increase the participation of the Canadian industry in empirical software engineering.