Software testing techniques (2nd ed.)
Software testing techniques (2nd ed.)
Residual test coverage monitoring
Proceedings of the 21st international conference on Software engineering
An empirical study of regression test selection techniques
ACM Transactions on Software Engineering and Methodology (TOSEM)
Prioritizing Test Cases For Regression Testing
IEEE Transactions on Software Engineering
Test Case Prioritization: A Family of Empirical Studies
IEEE Transactions on Software Engineering
Efficient instrumentation for code coverage testing
ISSTA '02 Proceedings of the 2002 ACM SIGSOFT international symposium on Software testing and analysis
Efficient use of code coverage in large-scale software development
CASCON '03 Proceedings of the 2003 conference of the Centre for Advanced Studies on Collaborative research
Applications of synchronization coverage
Proceedings of the tenth ACM SIGPLAN symposium on Principles and practice of parallel programming
Do Crosscutting Concerns Cause Defects?
IEEE Transactions on Software Engineering
Advanced code coverage analysis using substring holes
Proceedings of the eighteenth international symposium on Software testing and analysis
The advantages of post-link code coverage
HVC'07 Proceedings of the 3rd international Haifa verification conference on Hardware and software: verification and testing
CodeCover: enhancement of CodeCover
ACM SIGSOFT Software Engineering Notes
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Large systems generate immense quantities of code coverage data. A user faced with the task of analyzing this data, for example, to decide on test areas to improve, faces a 'needle in a haystack' problem. In earlier studies we introduced substring hole analysis, a technique for presenting large quantities of coverage data in a succinct way. Here we demonstrate the successful use of substring hole analysis on large scale data from industrial software systems. For this end we augment substring hole analysis by introducing a work flow and tool support for practical code coverage analysis. We conduct real data experiments indicating that augmented substring hole analysis enables code coverage analysis where it was previously impractical, correctly identifies functionality that is missing from existing tests, and can increase the probability of finding bugs. These facilitate cost-effective code coverage analysis.