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TSE
2010
197views more  TSE 2010»
8 years 8 months ago
A Genetic Algorithm-Based Stress Test Requirements Generator Tool and Its Empirical Evaluation
Genetic algorithms (GAs) have been applied previously to UML-driven, stress test requirements generation with the aim of increasing chances of discovering faults relating to networ...
Vahid Garousi
GECCO
2008
Springer
172views Optimization» more  GECCO 2008»
9 years 2 months ago
Empirical analysis of a genetic algorithm-based stress test technique
Evolutionary testing denotes the use of evolutionary algorithms, e.g., Genetic Algorithms (GAs), to support various test automation tasks. Since evolutionary algorithms are heuris...
Vahid Garousi
JSS
2008
122views more  JSS 2008»
9 years 2 days ago
Traffic-aware stress testing of distributed real-time systems based on UML models using genetic algorithms
This report presents a model-driven, stress test methodology aimed at increasing chances of discovering faults related to network traffic in Distributed Real-Time Systems (DRTS). T...
Vahid Garousi, Lionel C. Briand, Yvan Labiche
TSE
2010
136views more  TSE 2010»
8 years 12 months ago
A Theoretical and Empirical Study of Search-Based Testing: Local, Global, and Hybrid Search
Search based optimization techniques have been applied to structural software test data generation since 1992, with a recent upsurge in interest and activity within this area. How...
Mark Harman, Phil McMinn
ACSAC
2007
IEEE
9 years 8 months ago
Automated Vulnerability Analysis: Leveraging Control Flow for Evolutionary Input Crafting
We present an extension of traditional "black box" fuzz testing using a genetic algorithm based upon a Dynamic Markov Model fitness heuristic. This heuristic allows us t...
Sherri Sparks, Shawn Embleton, Ryan Cunningham, Cl...
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