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GECCO
2009
Springer
146views Optimization» more  GECCO 2009»
15 years 8 months ago
Using a distance metric to guide PSO algorithms for many-objective optimization
In this paper we propose to use a distance metric based on user-preferences to efficiently find solutions for manyobjective problems. We use a particle swarm optimization (PSO) a...
Upali K. Wickramasinghe, Xiaodong Li
PROMISE
2010
14 years 8 months ago
On the value of learning from defect dense components for software defect prediction
BACKGROUND: Defect predictors learned from static code measures can isolate code modules with a higher than usual probability of defects. AIMS: To improve those learners by focusi...
Hongyu Zhang, Adam Nelson, Tim Menzies
GECCO
2006
Springer
162views Optimization» more  GECCO 2006»
15 years 5 months ago
Improving evolutionary real-time testing
Embedded systems are often used in a safety-critical context, e.g. in airborne or vehicle systems. Typically, timing constraints must be satisfied so that real-time embedded syste...
Marouane Tlili, Stefan Wappler, Harmen Sthamer
ERCIMDL
2003
Springer
106views Education» more  ERCIMDL 2003»
15 years 6 months ago
Topical Crawling for Business Intelligence
Abstract. The Web provides us with a vast resource for business intelligence. However, the large size of the Web and its dynamic nature make the task of foraging appropriate inform...
Gautam Pant, Filippo Menczer
ISSTA
2006
ACM
15 years 7 months ago
DSD-Crasher: a hybrid analysis tool for bug finding
DSD-Crasher is a bug finding tool that follows a three-step approach to program analysis: D. Capture the program’s intended execution behavior with dynamic invariant detection....
Christoph Csallner, Yannis Smaragdakis