DocumentCode :
3509770
Title :
An approach to generate software test data for a specific path automatically with genetic algorithm
Author :
Cao, Yang ; Hu, Chunhua ; Li, Luming
Author_Institution :
Inst. of Man-Machine & Environ. Eng., Tsinghua Univ., Beijing, China
fYear :
2009
fDate :
20-24 July 2009
Firstpage :
888
Lastpage :
892
Abstract :
We focus on software reliability with testing coverage, which will grow with increment of the coverage. We expect to improve quality of software testing with it automated. An approach of generating test data for a specific single path is presented in this paper, different from the predicate distance applied by most test data generators based on genetic algorithms. A similarity between the target path and execution path with sub path overlapped is designed as fitness value to evaluate the individuals of a population and drive GA to search the appropriate solutions. Several experiments are taken to examine the effectiveness of the designed fitness function, which evaluate performance of the function with the convergence ability and consumed time. Results show that the function performs well compared with other two typical fitness functions for specific paths.
Keywords :
genetic algorithms; program testing; software quality; software reliability; fitness function; genetic algorithm; software quality; software reliability; software test data generation; Aerospace testing; Automatic testing; Costs; Data engineering; Equations; Genetic algorithms; Man machine systems; Research and development; Software reliability; Software testing; genetic algorithm; path testing; software reliability; test data generation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Reliability, Maintainability and Safety, 2009. ICRMS 2009. 8th International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-4903-3
Electronic_ISBN :
978-1-4244-4905-7
Type :
conf
DOI :
10.1109/ICRMS.2009.5269962
Filename :
5269962
Link To Document :
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