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Study on the Method of Automatic Test Generation of Non-Numeric Data Based on Genetic Algorithms

Author: LiCuiCui
Tutor: ZhaoRuiLian
School: Beijing University of Chemical Technology
Course: Applied Computer Technology
Keywords: automatic test data generation genetic algorithms fitness function non-numeric data
CLC: TP311.52
Type: Master's thesis
Year: 2006
Downloads: 247
Quote: 3
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Abstract


As an important means to guarantee software quality and enhance software reliability, software testing plays an irreplaceable role in the process of software development. And during the test process one of the most important problems is the test data generation. Now there are many techniques to automatically generate software testing data, but most of the methods only deal with numeric value. In fact the non-numeric data, such as character string, are widely used, and it limits the application of software testing. In a word, it’s significant to investigate the automatic test generation of non-numeric data.Genetic algorithm, which applies the crossover, mutation and recombine of genes to the problem resolution, is an optimizing approach, imitating the inheritance and evolution in biology. At present genetic algorithm has been brought into software test data generation gradually.This paper presents an approach for automatic test data generation of non-numeric var iables based on genetic algorithms, define s a path fitness

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer software > Program design,software engineering > Software Engineering > Software Development
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