AUTOMATIC TEST DATA GENERATION FOR PROGRAM PATHS USING GENETIC ALGORITHMS-Reference-Cited by-同舟云学术

AUTOMATIC TEST DATA GENERATION FOR PROGRAM PATHS USING GENETIC ALGORITHMS

Published:2002-12 Issue:06 Volume:12 Page:691-709
ISSN:0218-1940
Container-title:International Journal of Software Engineering and Knowledge Engineering
language:en
Short-container-title:Int. J. Soft. Eng. Knowl. Eng.

Author:

BUENO PAULO MARCOS SIQUEIRA¹,JINO MARIO¹

Affiliation:

1. Department of Computer Engineering and Industrial Automation, School of Electrical and Computer Engineering, State University of Campinas (Unicamp), 400 Albert Einstein Avenue, 13083-970, Campinas, SP, Brazil

Abstract

A new technique and tool are presented for test data generation for path testing. They are based on the dynamic technique and on a Genetic Algorithm, which evolves a population of input data towards reaching and solving the predicates along the program paths. We improve the performance of test data generation by using past input data to compose the initial population for the search. An experiment was done to assess the performance of the techniques compared to that of random data generation.

Publisher

World Scientific Pub Co Pte Lt

Subject

Artificial Intelligence,Computer Graphics and Computer-Aided Design,Computer Networks and Communications,Software

Link

https://www.worldscientific.com/doi/pdf/10.1142/S0218194002001074

Reference30 articles.

1. Automatic generation of path covers based on the control flow analysis of computer programs

2. Automatic generation of random self-checking test cases

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4. A System to Generate Test Data and Symbolically Execute Programs

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