A comparative study of five regression testing algorithms

Author

Baradhi, Ghinwa ; Mansour, Nashat

Author_Institution

Dept. of Comput. Sci., Lebanese American Univ., Lebanon

fYear

1997

fDate

29 Sep-2 Oct 1997

Firstpage

174

Lastpage

182

Abstract

We compare five regression testing algorithms that include: slicing, incremental, firewall, genetic and simulated annealing algorithms. The comparison is based on the following ten quantitative and qualitative criteria: execution time, number of selected retests, precision, inclusiveness, user parameters, handling of global variables, type of maintenance, type of testing, level of testing, and type of approach. The experimental results show that the five algorithms are suitable for different requirements of regression testing. Nevertheless, the incremental algorithm shows more favorable properties than the others

Keywords

genetic algorithms; program testing; simulated annealing; software maintenance; software performance evaluation; statistical analysis; execution time; firewall; genetic algorithms; global variables; inclusiveness; incremental algorithm; maintenance; precision; regression testing algorithms; retests; simulated annealing; slicing algorithm; user parameters; Computational modeling; Computer science; Computer simulation; Data analysis; Genetics; Linear programming; Partitioning algorithms; Simulated annealing; Software maintenance; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Software Engineering Conference, 1997. Proceedings., Australian

Conference_Location

Sydney, NSW

Print_ISBN

0-8186-8081-4

Type

conf

DOI

10.1109/ASWEC.1997.623769

Filename

623769