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Achieving software quality with testing coverage measures: Metrics, . . . (1994)
| Venue: | IEEE COMPUTER |
| Citations: | 61 - 6 self |
BibTeX
@ARTICLE{Horgan94achievingsoftware,
author = {J. R. Horgan and Saul London and Michael R. Lyu},
title = {Achieving software quality with testing coverage measures: Metrics, . . . },
journal = {IEEE COMPUTER},
year = {1994},
volume = {27},
pages = {60--69}
}
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Abstract
This paper discusses the principles of data flow testing, describes a software testing and analysis tool called ATAC, which measures the effectiveness of testing data, and presents two case studies connecting software quality with the control and data flow testing coverage measures: block, decision, c-uses and p-uses. Results from these studies indicate that these measures are useful in uniformly assessing the quality of software testing, in controlling the testing process, and in program understanding. Although programming style can affect test coverage, a quantitative relationship between high testing coverage and program quality is emerging. We suggest practical guidelines in defining high quality software in the light of testing coverage measures.
