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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,...
TACAS
2009
Springer
122views Algorithms» more  TACAS 2009»
14 years 2 months ago
Test Input Generation for Programs with Pointers
Software testing is an essential process to improve software quality in practice. Researchers have proposed several techniques to automate parts of this process. In particular, sym...
Dries Vanoverberghe, Nikolai Tillmann, Frank Piess...
GECCO
2006
Springer
213views Optimization» more  GECCO 2006»
13 years 11 months ago
Evolutionary unit testing of object-oriented software using strongly-typed genetic programming
Evolutionary algorithms have successfully been applied to software testing. Not only approaches that search for numeric test data for procedural test objects have been investigate...
Stefan Wappler, Joachim Wegener
KBSE
2010
IEEE
13 years 6 months ago
How did you specify your test suite
Although testing is central to debugging and software certification, there is no adequate language to specify test suites over source code. Such a language should be simple and c...
Andreas Holzer, Christian Schallhart, Michael Taut...
COR
2008
103views more  COR 2008»
13 years 7 months ago
A tabu search algorithm for structural software testing
This paper presents a tabu search metaheuristic algorithm for the automatic generation of structural software tests. It is a novel work since tabu search is applied to the automat...
Eugenia Díaz, Javier Tuya, Raquel Blanco, J...