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» Genetic Algorithms for Dynamic Test Data Generation
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ICARIS
2007
Springer
13 years 11 months ago
Immune and Evolutionary Approaches to Software Mutation Testing
We present an Immune Inspired Algorithm, based on CLONALG, for software test data evolution. Generated tests are evaluated using the mutation testing adequacy criteria, and used to...
Peter May, Jon Timmis, Keith Mander
GECCO
2005
Springer
159views Optimization» more  GECCO 2005»
13 years 10 months ago
Using evolutionary algorithms for the unit testing of object-oriented software
As the paradigm of object orientation becomes more and more important for modern IT development projects, the demand for an automated test case generation to dynamically test obje...
Stefan Wappler, Frank Lammermann
CORR
2011
Springer
189views Education» more  CORR 2011»
12 years 12 months ago
A Factorial Experiment on Scalability of Search Based Software Testing
Software testing is an expensive process, which is vital in the industry. Construction of the test-data in software testing requires the major cost and to decide which method to us...
Arash Mehrmand, Robert Feldt
SIGSOFT
2007
ACM
14 years 5 months ago
The impact of input domain reduction on search-based test data generation
There has recently been a great deal of interest in search? based test data generation, with many local and global search algorithms being proposed. However, to date, there has be...
Mark Harman, Youssef Hassoun, Kiran Lakhotia, Phil...
GECCO
2007
Springer
276views Optimization» more  GECCO 2007»
13 years 11 months ago
Automatic mutation test input data generation via ant colony
Fault-based testing is often advocated to overcome limitations of other testing approaches; however it is also recognized as being expensive. On the other hand, evolutionary algor...
Kamel Ayari, Salah Bouktif, Giuliano Antoniol