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Content Provider | IEEE Xplore Digital Library |
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Author | Kuhn, D.R. Reilly, M.J. |
Copyright Year | 2003 |
Description | Author affiliation: Nat. Inst. of Stand. & Technol., Gaithersburg, MD, USA (Kuhn, D.R.; Reilly, M.J.) |
Abstract | Approaches to software testing based on methods from the field of design of experiments have been advocated as a means of providing high coverage at relatively low cost. Tools to generate all pairs, or higher n-degree combinations, of input values have been developed and demonstrated in a few applications, but little empirical evidence is available to aid developers in evaluating the effectiveness of these tools for particular problems. We investigate error reports from two large open-source software projects, a browser and Web server, to provide preliminary answers to three questions: Is there a point of diminishing returns at which generating all n-degree combinations is nearly as effective as all n+1-degree combinations? What is the appropriate value of n for particular classes of software? Does this value differ for different types of software, and by how much? Our findings suggest that more than 95% of errors in the software studied would be detected by test cases that cover all 4-way combinations of values, and that the browser and server software were similar in the percentage of errors detectable by combinations of degree 2 through 6. |
Sponsorship | IEEE Comput. Soc. Tech. Council on Software Eng. (TCSE) NASA Goddard Space Flight Center Software Eng. Lab |
Starting Page | 91 |
Ending Page | 95 |
File Size | 246742 |
Page Count | 5 |
File Format | |
ISBN | 0769518559 |
DOI | 10.1109/SEW.2002.1199454 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2002-12-05 |
Publisher Place | USA |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Software testing Application software Costs Open source software US Department of Energy System testing NIST Web server Computer errors Quality control |
Content Type | Text |
Resource Type | Article |
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