Proceedings of the 4th Annual IASTED International Conference on Software Engineering and Applications (SEA '00),
ACTA Press, Calgary, Canada, pp. 43-48 (2000)

Improving the Effectiveness of the
Classification-Tree Methodology in Software Testing

T.Y. Chen 2 , W.H. Kwok 3 , and T.H. Tse 4



This paper reports on the experience in the applications of the classification-tree methodology to a real-life system. As a result of the study, we found the need to supplement the original method by introducing a new relation operator and a new technique for constructing classification trees. Our supplement helps to enforce the completeness of test cases and improve on the effectiveness of classification trees.

Keywords: Black-box testing, classification trees, partition testing, software testing, specification-based testing, test case selection.

1. This research is supported in part by a grant of the Research Grants Council of Hong Kong and a research and conference grant of The University of Hong Kong.
2. Centre for Software Analysis and Testing, Swinburne University of Technology, Hawthorn 3122, Australia. (Part of the work was carried out when Chen was with the Vocational Training Council, Hong Kong.)
3. Department of Computer Science, The University of Hong Kong
4. (Corresponding author.)
Department of Computer Science, The University of Hong Kong, Pokfulam, Hong Kong.


  Cumulative visitor count