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Genetic Algorithm Based Software Testing
(1998)
Аннотация
In this work we are studying possibilities to test software using genetic algorithm search. The idea is to produce test cases in order to find problematic situations like processing time extremes. The proposed test method comes under the heading of automated dynamic stress testing. Keywords: genetic algorithms, software engineering, dynamic stress testing 1 Introduction Real-time software is increasingly applied to products in which failure may have severe consequences, thus the requirements for correctness and reliability are getting higher, too. In very reliable sequential programs, the rate of errors should be less than 10 errors/1000 lines of code, to avoid functional failure. Achieving this level is very labourious, because the amount of program testing work grows exponentially with code size. Testing software manually is slow, expensive and demands inventiveness. Automated testing can reduce both the time and costs needed for performing tests. Exhaustive test data generation is...
