Comparison of Approaches to Category Partition Specifications, Selection Criteria, and the Impact of the ‘Error’ and ‘Single’ Annotations using Industrial Case Studies

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  • Given the significance of software testing, many methods such as black box testing have been introduced in order to make testing as efficient as possible. Experimental evidence is required to attest to the validity of such methods. In this thesis, we conducted experiments on twenty four test suites generated from two case studies targeting a real industrial system for generating financial reports. The experiments aim to evaluate the effectiveness of different Category Partition (CP) specifications on the same problem as well as that of the 'Single' and 'Error' constraints on the same CP specifications. The experiments also evaluate the effectiveness of the three selection criteria of Base-Choice, Each-Choice, and Pair-Wise. The effectiveness is measured in terms of cost, which is the number of generated test cases, fault detection of errors created by mutating code under test, and code coverage using Visual Studio.

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  • Copyright © 2018 the author(s). Theses may be used for non-commercial research, educational, or related academic purposes only. Such uses include personal study, research, scholarship, and teaching. Theses may only be shared by linking to Carleton University Institutional Repository and no part may be used without proper attribution to the author. No part may be used for commercial purposes directly or indirectly via a for-profit platform; no adaptation or derivative works are permitted without consent from the copyright owner.
Date Created
  • 2018


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