Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.3/4414

Title

ADDICT: a prototype system for automated test data generation using the integrated classification-tree methodology

Author(s)

Cain, Andrew;  Chen, Tsong Y.;  Grant, Doug;  Poon, Pak L.;  Tang, Sau F.;  Tse, Tsun-Him

Abstract

The classification-tree method (CTM) is a black box technique developed by Grochtmann and Grimm, which helps software testers construct test cases systematically from functional specifications. Later, some extension work has been done on CTM by Chen et al., with a view to improving the effectiveness of the method. This extension results in their integrated classification-tree methodology (ICTM). In this paper, we describe and discuss a prototype system ADDICT that is based on ICTM.

Publication type

Conference paper

Research centre

Swinburne University of Technology. School of Information Technology

Source

Proceedings of the 1st ACIS International Conference on Software Engineering Research and Applications (SERA 2003), San Francisco, California, USA, 25-27 June 2003, pp. 76-81

Publication year

2003

Publisher

International Association for Computer and Information Science (ACIS)

ISSN

0970077661

Publisher URL

http://www.csis.hku.hk/

Peer reviewed