Dominators, super blocks, and program coverage
POPL '94 Proceedings of the 21st ACM SIGPLAN-SIGACT symposium on Principles of programming languages
Art of Software Testing
Prioritize Code for Testing to Improve Code Coverage of Complex Software
ISSRE '05 Proceedings of the 16th IEEE International Symposium on Software Reliability Engineering
An Integrated Solution for Testing and Analyzing Java Applications in an Industrial Setting
APSEC '05 Proceedings of the 12th Asia-Pacific Software Engineering Conference
Haskell '07 Proceedings of the ACM SIGPLAN workshop on Haskell workshop
Testing techniques in software engineering
Testing techniques in software engineering
Evaluating workloads using multi-comparative functional coverage
HVC'09 Proceedings of the 5th international Haifa verification conference on Hardware and software: verification and testing
An evaluation of change-based coverage criteria
Proceedings of the 10th ACM SIGPLAN-SIGSOFT workshop on Program analysis for software tools
Is branch coverage a good measure of testing effectiveness?
Empirical Software Engineering and Verification
CarFast: achieving higher statement coverage faster
Proceedings of the ACM SIGSOFT 20th International Symposium on the Foundations of Software Engineering
A dynamic code coverage approach to maximize fault localization efficiency
Journal of Systems and Software
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Test coverage is sometimes used as a way to measure how thoroughly software is tested. Coverage is used by software developers and sometimes by vendors to indicate their confidence in the readiness of their software. This survey studies and compares 17 coverage-based testing tools focusing on, but not restricted to coverage measurement. We also survey additional features, including program prioritization for testing, assistance in debugging, automatic generation of test cases, and customization of test reports. Such features make tools more useful and practical, especially for large-scale, real-life commercial software applications. Our initial motivations were both to understand the available test coverage tools and to compare them to a tool that we have developed, called eXVantage1 (a tool suite that includes code coverage testing, debugging, performance profiling, and reporting). Our study shows that each tool has its unique features tailored to its application domains. Therefore this study can be used to pick the right coverage testing tools depending on various requirements.