Proceedings of the 20th IASTED International Multi-Conference on Applied Informatics (AI '02),
ACTA Press, Calgary, Canada, pp. 176-181 (2002)

A Study on Input Domain Partitioning 1

T.Y. Chen 2 , M.Y. Cheng 3 , P.L. Poon 4 , T.H. Tse 3 , and Y.T. Yu 5

[paper from ACTA Press | postprint]


Partition testing is one of the widely used approaches in software testing. The efficacy of partition testing methods, such as the category-partition method and the classification-tree method, depends highly on the partitioning scheme, which groups together inputs that share some common characteristics. This paper reports case studies on the partitioning of the input domain from considerations of both the input and output perspectives, and discusses the relationships among the subdomains so formed.

Keywords: Software Testing, Partition Testing, Test Case Selection, Category-Partition Method, Classification-Tree Method

1. This research was supported in part by grants of the Research Grants Council of Hong Kong (project nos. 111899E and 702901), a grant of the City University of Hong Kong (project no. 7000958), 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.
3. Department of Computer Science, The University of Hong Kong, Pokfulam, Hong Kong.
4. Department of Accountancy, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong.
5. (Corresponding author.)
Department of Computer Science, City University of Hong Kong, Tat Chee Avenue, Kowloon Tong, Hong Kong


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