Software Engineering Research and Applications, C.V. Ramamoorthy, R.Y. Lee, and K.W. Lee (eds.),
Lecture Notes in Computer Science, vol. 3026, Springer, Berlin, pp. 225-238 (2004)

An Automatic Test Data Generation System Based on
the Integrated Classification-Tree Methodology 1

A. Cain 2 , T.Y. Chen 2 , D. Grant 2 , Pak-Lok Poon 3 , Sau-Fun Tang 2 , and T.H. Tse 4

[paper from Springer | technical report TR-2004-04]

 ABSTRACT

Grochtmann and Grimm have developed the classification-tree method (CTM) to facilitate software testers in generating test cases from functional specifications. While the method is very useful, it is hindered by the lack of a systematic tree construction algorithm. This problem has been alleviated by Chen et al. via their "integrated" classification-tree methodology (ICTM). In this paper, we describe and discuss a prototype system ADDICT that is built on ICTM.

Keywords: Automatic test case generation, black box testing, category-partition method, choice relation framework, classification-tree method, software testing

1. This work is supported in part by a grant of the Research Grants Council of Hong Kong (project no. 702901), a research and conference grant of The University of Hong Kong, and a grant from the Australian Research Council (ARC Discovery project no. DP 0345147).
2. Centre for Software Analysis and Testing, Swinburne University of Technology, Hawthorn 3122, Australia.
3. (Corresponding author.)
Department of Accountancy, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong.
Email:
4. Department of Computer Science, The University of Hong Kong, Pokfulam, Hong Kong.

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