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KBSE
1997
IEEE
13 years 12 months ago
Genetic Algorithms for Dynamic Test Data Generation
In software testing, it is often desirable to find test inputs that exercise specific program features. To find these inputs by hand is extremely time-consuming, especially whe...
Christoph C. Michael, Gary McGraw, Michael Schatz,...
KBSE
2007
IEEE
14 years 2 months ago
Nighthawk: a two-level genetic-random unit test data generator
Randomized testing has been shown to be an effective method for testing software units. However, the thoroughness of randomized unit testing varies widely according to the settin...
James H. Andrews, Felix Chun Hang Li, Tim Menzies
DAC
2005
ACM
14 years 8 months ago
StressTest: an automatic approach to test generation via activity monitors
The challenge of verifying a modern microprocessor design is an overwhelming one: Increasingly complex micro-architectures combined with heavy time-to-market pressure have forced ...
Ilya Wagner, Valeria Bertacco, Todd M. Austin
GECCO
2009
Springer
162views Optimization» more  GECCO 2009»
14 years 11 days ago
TestFul: using a hybrid evolutionary algorithm for testing stateful systems
This paper introduces TestFul, a framework for testing stateful systems and focuses on object-oriented software. TestFul employs a hybrid multi-objective evolutionary algorithm, t...
Matteo Miraz, Pier Luca Lanzi, Luciano Baresi
WSC
2001
13 years 9 months ago
Software for uniform random number generation: distinguishing the good and the bad
The requirements, design principles, and statistical testing approaches of uniform random number generators for simulation are briefly surveyed. An objectoriented random number pa...
Pierre L'Ecuyer