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Combinatorial Coverage as an Aspect of Test Quality

Published

Author(s)

David R. Kuhn, Raghu N. Kacker, Yu Lei

Abstract

There are relatively few good methods for evaluating test set quality, after ensuring basic requirements traceability. Structural coverage, mutation testing, and related methods can be used if source code is available, but these approaches may entail significant cost in time and resources. This paper introduces an alternative measure of test quality that is directly related to fault detection, simple to compute, and can be applied prior to execution of the system under test. As such, it provides an inexpensive complement to current approaches for evaluating test quality.
Citation
Crosstalk (Hill AFB): the Journal of Defense Software Engineering

Keywords

combinatorial coverage, combinatorial testing, software testing

Citation

Kuhn, D. , Kacker, R. and Lei, Y. (2015), Combinatorial Coverage as an Aspect of Test Quality, Crosstalk (Hill AFB): the Journal of Defense Software Engineering, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=917352 (Accessed May 27, 2024)

Issues

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Created March 31, 2015, Updated February 19, 2017