Title

Application of AI for Automation of Software Testing

Document Type

Conference Proceeding

Publisher

International Association for Computer and Information Science

Faculty

Computing, Health and Science

School

Computer and Security Science

RAS ID

1470

Comments

This article was originally published as: Lam, C. P., Robey, M. C, & Li, H. (2003). Application of AI for automation of software testing. Proceedings of the ACIS Fourth International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD'03). (pp. 242-249). Mount Pleasant, Michigan: International Association for Computer and Information Science.

Abstract

Software testing forms an essential role in the development and distribution of any software application. It is essentially a human centred process which requires high levels of expertise from the software engineers involved. The cost, time and effort involved in exhaustively testing any software application is prohibitive and impractical. The automation (or semi-automation) of this process would go a long way to reducing the cost of the software testing process. If these processes were robust then the quality of the resulting software would also be improved. From its early beginnings, the role of AI has been to develop methodologies which define, refine and explore large search spaces. This approach is ready made for its application to the problem of software testing. Existing work in the application of Al techniques to software testing has been restricted to toy problems raising scalability issues. A more in depth approach is required. Experts in software engineering need to collaborate with experts in artificial intelligence so that existing AI methodologies can be better employed in software testing. This paper hopes to serve as a stimulus for such cross pollination.

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