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GECCO
2008
Springer
172views Optimization» more  GECCO 2008»
13 years 6 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
ICSM
2005
IEEE
13 years 11 months ago
A Controlled Experiment Assessing Test Case Prioritization Techniques via Mutation Faults
Regression testing is an important part of software maintenance, but it can also be very expensive. To reduce this expense, software testers may prioritize their test cases so tha...
Hyunsook Do, Gregg Rothermel
ICST
2008
IEEE
13 years 11 months ago
Relationships between Test Suites, Faults, and Fault Detection in GUI Testing
Software-testing researchers have long sought recipes for test suites that detect faults well. In the literature, empirical studies of testing techniques abound, yet the ideal tec...
Jaymie Strecker, Atif M. Memon
ISSRE
2008
IEEE
13 years 11 months ago
Finding Faults: Manual Testing vs. Random+ Testing vs. User Reports
The usual way to compare testing strategies, whether theoretically or empirically, is to compare the number of faults they detect. To ascertain definitely that a testing strategy...
Ilinca Ciupa, Bertrand Meyer, Manuel Oriol, Alexan...
ICSE
2007
IEEE-ACM
14 years 5 months ago
A Discreet, Fault-Tolerant, and Scalable Software Architectural Style for Internet-Sized Networks
Large networks, such as the Internet, pose an ideal medium for solving computationally intensive problems, such as NP-complete problems, yet no well-scaling architecture for Inter...
Yuriy Brun