Test sequences as plans: an experiment in using an AI planner to generate system tests

Author

Howe, Adele E. ; Von Mayrhauser, Annellese ; Mraz, Richard T.

Author_Institution

Dept. of Comput. Sci., Colorado State Univ., Fort Collins, CO, USA

fYear

1995

fDate

12-15 Nov 1995

Firstpage

184

Lastpage

191

Abstract

Most automated software testing techniques adopt a procedural approach, specifying how sequences are to be generated. In contrast, AI planners generate plans (sequences of actions) in a goal oriented fashion, specifying how actions interact and inferring sequences from that information. We describe the development of an prototype test generation system which is built in an AI planner. We demonstrated the prototype on an application with a command language interface adopted from the Sleuth system, a tool for automated application domain testing

Keywords

planning (artificial intelligence); program testing; sequences; software tools; AI planner; Sleuth system; action interaction; automated application domain testing tool; automated software testing techniques; command language interface; goal oriented method; prototype test generation system; sequence inference; system test generation; Application software; Artificial intelligence; Automatic testing; Command languages; Computer science; Humans; Prototypes; Software prototyping; Software testing; System testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Knowledge-Based Software Engineering Conference, 1995 .Proceedings., 10th

Conference_Location

Boston, MA

ISSN

1068-3062

Print_ISBN

0-8186-7204-8

Type

conf

DOI

10.1109/KBSE.1995.490134

Filename

490134