Software test data generation using the chaining approach

Author

Ferguson, Roger ; Korel, Bogdan

Author_Institution

Dept. of Comput. Sci., Lawrence Technol. Univ., USA

fYear

1995

fDate

21-25 Oct 1995

Firstpage

703

Lastpage

709

Abstract

Software testing, specifically, test data generation is very labor-intensive and expensive. As a result, it accounts for a significant portion of software system development cost. In this paper we present a chaining approach for automated software test data generation. The chaining approach uses data dependence analysis to guide the test data generation process. The experiments have shown that the chaining approach may significantly improve the chances of finding test data as compared to the existing methods of automated test data generation

Keywords

automatic test software; data flow graphs; program testing; search problems; software performance evaluation; software quality; TESTGEN system; automated test data generation; chaining approach; data dependence analysis; essential nodes; event sequence; execution-oriented methods; extended goal oriented approach; flow graph; search process; software evaluation; software system development cost; software test data generation; software testing; Automatic testing; Computer science; Costs; Data analysis; Data structures; Input variables; Programming profession; Software maintenance; Software systems; Software testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Test Conference, 1995. Proceedings., International

Conference_Location

Washington, DC

ISSN

1089-3539

Print_ISBN

0-7803-2992-9

Type

conf

DOI

10.1109/TEST.1995.529900

Filename

529900