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.