Automatic and user-assisted test generation: a rough set approach

Authors:
Theresa Beaubouef
Affiliations:
Southeastern Louisiana University, Hammond, LA
Venue:
ACM-SE 38 Proceedings of the 38th annual on Southeast regional conference
Year:
2000

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Abstract

Rough set theoretical concepts have been applied to numerous applications in order to better model the uncertainty and imprecision prevalent in the real world. Enhancements to databases, improved knowledge discovery algorithms, and uncertainty management for spatial data and expert systems are some of the many applications that have benefited from rough set techniques. Rough set techniques can also be incorporated into automatic and user-assisted test generation. This paper discusses the relevant concepts from rough set theory, introduces a test generation system incorporating these rough set concepts, and discusses the benefits that such a system offers in the design and maintenance of tests and test banks.