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COR
2008
164views more  COR 2008»
13 years 7 months ago
Observations in using parallel and sequential evolutionary algorithms for automatic software testing
In this paper we analyze the application of parallel and sequential evolutionary algorithms (EAs) to the automatic test data generation problem. The problem consists of automatica...
Enrique Alba, J. Francisco Chicano
GECCO
2003
Springer
148views Optimization» more  GECCO 2003»
14 years 22 days ago
Structural and Functional Sequence Test of Dynamic and State-Based Software with Evolutionary Algorithms
Evolutionary Testing (ET) has been shown to be very successful for testing real world applications [10]. The original ET approach focusesonsearching for a high coverage of the test...
André Baresel, Hartmut Pohlheim, Sadegh Sad...
PTS
2010
134views Hardware» more  PTS 2010»
13 years 5 months ago
A Learning-Based Approach to Unit Testing of Numerical Software
We present an application of learning-based testing to the problem of automated test case generation (ATCG) for numerical software. Our approach uses n-dimensional polynomial model...
Karl Meinke, Fei Niu
TSE
2011
144views more  TSE 2011»
13 years 2 months ago
Genetic Algorithms for Randomized Unit Testing
—Randomized testing is an effective method for testing software units. Thoroughness of randomized unit testing varies widely according to the settings of certain parameters, such...
James H. Andrews, Tim Menzies, Felix Chun Hang Li
ICSE
2008
IEEE-ACM
14 years 7 months ago
On the automation of fixing software bugs
Software Testing can take up to half of the resources of the development of new software. Although there has been a lot of work on automating the testing phase, fixing a bug after...
Andrea Arcuri