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Towards an integrated toolset for program understanding
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Authors:
John Mylopoulos
Department of Computer Science, University of Toronto, 6 King's College Road, Toronto, Ontario, Canada M5S 1A4
Martin Stanley
Department of Computer Science, University of Toronto, 6 King's College Road, Toronto, Ontario, Canada M5S 1A4
Kenny Wong
Department of Computer Science, University of Victoria, P.O. Box 3055, Victoria, BC, Canada V8W 3P6
Morris Bernstein
School of Computer Science, McGill University, 3480 University Street, Room 318, Montréal, Québec, Canada H3A 2A7
Renato De Mori
School of Computer Science, McGill University, 3480 University Street, Room 318, Montréal, Québec, Canada H3A 2A7
Graham Ewart
Centre for Advanced Studies, IBM Software Solutions Toronto Laboratory, 844 Don Mills, North York, ON, Canada, M3C 1V7
Kostas Kontogiannis
School of Computer Science, McGill University, 3480 University Street, Room 318, Montréal, Québec, Canada H3A 2A7
Ettore Merlo
Département de Génie Électrique (DGEGI), École Polytechnique de Montréal, C.P. 6079, Succ. Centre Ville, Montréal, Québec, Canada H3C 3A7
Hausi Müller
Department of Computer Science, University of Victoria, P. O. Box 3055, Victoria, BC, Canada V8W 3P6
Scott Tilley
Department of Computer Science, University of Victoria, P. O. Box 3055, Victoria, BC, Canada V8W 3P6
Marijana Tomic
Centre for Advanced Studies, IBM Software Solutions Toronto Laboratory, 844 Don Mills, North York, ON, Canada, M3C 1V7
1994 Article
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Published in:
· Proceeding
CASCON '94 Proceedings of the 1994 conference of the Centre for Advanced Studies on Collaborative research
Page 48
IBM Press
©1994
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Tags:
algorithms
clustering
design
experimentation
integrated environments
measurement
program analysis
theory
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