Bachelor and Master Theses

Title: Measuring Combinatorial Coverage of Manual Testing
Subject: Computer Science
Level: Basic or Advanced (contact supervisor)
Description: Test coverage is one of the most important topics in software assurance and many different approaches have been devised for determining software test coverage, mainly focusing on the program source code. Recently, combinatorial coverage has been proposed to measure the state space of the program input in the absence of of knowledge about a programís inner structure. In this thesis we investigate the combinatorial coverage of manually created tests by engineers working in industry and the implications of using combinatorial testing in practice. The NIST combinatorial coverage tool is used to measure the test coverage achieved. Measuring the input space coverage would be helpful in understanding the state space coverage of manually created tests and what are the cases in which it may be possible to generate additional tests to increase the coverage of a test suite.
IDT supervisor: Eduard Paul Enoiu
eduard.paul.enoiu@mdh.se, +46-21-101624
Examinator: Wasif Afzal
Wasif Afzal
wasif.afzal@mdh.se,

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