Title :
Study on Test Case Automated Generation Technology Based on Genetic Algorithm and Ant Colony Optimization Algorithm
Author :
Xu Duo-yong ; Li Zhi-shu
Author_Institution :
Student Affairs Office, Chengdu Med. Coll., Chengdu, China
Abstract :
The enhancement of software quality and reliability has become an important task in the field of software engineering. Software testing is an important step that guarantees software quality and reliability and also an energy-consuming and time-consuming task. Therefore, improving the automation ability of software testing is very important for ensuring software´s quality and reducing development cost. This paper designs a new Net-Path-Model, introduces the Genetic Algorithm and Ant Colony Optimization test cases Generating theory with the Model. The paper also realizes the theory for Path-cover Test Cases Generating based on ProGrammar in VC++6.0.
Keywords :
C++ language; genetic algorithms; program testing; software quality; software reliability; ProGrammar; VC++6.0; ant colony optimization algorithm; genetic algorithm; net-path-model; path-cover test cases; software engineering; software quality; software reliability; software testing; test case automated generation technology; Ant colony optimization; Gallium; Nickel; Software quality; Software reliability; Software testing; Ant Colony Optimization Algorithm; Genetic Algorithm; Path-Cover; Software Testing; Test case;
Conference_Titel :
Electrical and Control Engineering (ICECE), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-6880-5
DOI :
10.1109/iCECE.2010.1374