Fitness Function Design To Improve Evolutionary Structural Testing

摘要: Evolutionary Structural Testing uses Algorithms (EA) to search for specific test data that provide high structural coverage of the software under test. A necessary characteristic evolutionary testing is fitness function constructed on basis test. The itself not interest problem; however, a well-constructed may substantially increase chance finding solution and reaching higher coverage. Better guidance can result in optimizations with less iterations, therefore leading savings resource expenditure. This paper presents research results suggested modifications improvement testability by achieving resources. A set problems their respective solutions are discussed.