exact gap computation for code coverage metrics in iso-c

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ID: 222821
2012
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Abstract
Test generation and test data selection are difficult tasks for model based testing. Tests for a program can be meld to a test suite. A lot of research is done to quantify the quality and improve a test suite. Code coverage metrics estimate the quality of a test suite. This quality is fine, if the code coverage value is high or 100%. Unfortunately it might be impossible to achieve 100% code coverage because of dead code for example. There is a gap between the feasible and theoretical maximal possible code coverage value. Our review of the research indicates, none of current research is concerned with exact gap computation. This paper presents a framework to compute such gaps exactly in an ISO-C compatible semantic and similar languages. We describe an efficient approximation of the gap in all the other cases. Thus, a tester can decide if more tests might be able or necessary to achieve better coverage.
Reference Key
richter2012electronicexact Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Dirk Richter;Christian Berg
Journal ama journal of ethics
Year 2012
DOI
10.4204/EPTCS.80.4
URL
http://arxiv.org/pdf/1202.6121v1
Keywords
computer science mathematicselectronic computers

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