Title :
A comparative study of five regression testing algorithms
Author :
Baradhi, Ghinwa ; Mansour, Nashat
Author_Institution :
Dept. of Comput. Sci., Lebanese American Univ., Lebanon
fDate :
29 Sep-2 Oct 1997
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;
Conference_Titel :
Software Engineering Conference, 1997. Proceedings., Australian
Conference_Location :
Sydney, NSW
Print_ISBN :
0-8186-8081-4
DOI :
10.1109/ASWEC.1997.623769
