Oregon State University

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Colloquium: Search Based Software Engineering: Foundations, Challenges and Recent Advances


Monday, March 13, 2017 4:00 PM - 4:50 PM

Marouane Kesentini
Department of Computer and Information Science, University of Michigan

A growing trend has begun in recent years to move software engineering problems from human-based search to machine-based search that balances a number of constraints to achieve optimal or near-optimal solutions. As a
result, human effort is moving up the abstraction chain to focus on guiding the automated search, rather than performing the search itself. This emerging software engineering paradigm is known as Search Based Software Engineering (SBSE). It uses computational intelligence techniques, mainly those from the evolutionary computation literature to automate the search for optimal or near-optimal solutions to software engineering problems. The SBSE approach can and has been applied to many problems in software engineering that span the spectrum of activities from requirements to maintenance and reengineering. Already success has been achieved in requirements, refactoring, project planning, testing, maintenance and reverse engineering. However, several challenges have to be addressed to mainly tackle the growing complexity of software systems nowadays in terms of number of objectives, constraints and inputs/outputs.

Additional information: http://eecs.oregonstate.edu/colloquium-series


Gilfillan Auditorium (campus map)
Free
1 541 737 3617
Sch Elect Engr/Comp Sci
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