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A measurement framework for evaluating model-based test generation tools

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3 Author(s)
Sinha, A. ; IBM Thomas J. Watson Research Center, 19 Skyline Drive, 2NF07, Hawthorne, New York 10562, USA ; Williams, C.E. ; Santhanam, P.

This paper presents a measurement framework for evaluating model-based test generation (MBTG) tools. The proposed framework is derived by using the Goal Question Metric methodology, which helps formulate the metrics of interest: complexity, ease of learning, effectiveness, efficiency, and scalability. We demonstrate the steps involved in evaluating MBTG tools by describing a case study designed for this purpose. This case study involves the use of four MBTG tools that differ in their modeling techniques, test specification techniques, and test generation algorithms.

Note: The Institute of Electrical and Electronics Engineers, Incorporated is distributing this Article with permission of the International Business Machines Corporation (IBM) who is the exclusive owner. The recipient of this Article may not assign, sublicense, lease, rent or otherwise transfer, reproduce, prepare derivative works, publicly display or perform, or distribute the Article.  

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IBM Systems Journal  (Volume:45 ,  Issue: 3 )

Date of Publication:


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