Software testing in the real world: improving the process
Software testing in the real world: improving the process
Coverage measurement experience during function test
ICSE '93 Proceedings of the 15th international conference on Software Engineering
User defined coverage—a tool supported methodology for design verification
DAC '98 Proceedings of the 35th annual Design Automation Conference
Software Engineering Economics
Software Engineering Economics
Efficient instrumentation for code coverage testing
ISSTA '02 Proceedings of the 2002 ACM SIGSOFT international symposium on Software testing and analysis
An empirical evaluation of system and regression testing
CASCON '02 Proceedings of the 2002 conference of the Centre for Advanced Studies on Collaborative research
Developing More Reliable Software Faster and Cheaper
ICECCS '99 Proceedings of the 5th International Conference on Engineering of Complex Computer Systems
ISSRE '03 Proceedings of the 14th International Symposium on Software Reliability Engineering
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
An Extended Operational Profile Model
ISSRE '04 Proceedings of the 15th International Symposium on Software Reliability Engineering
Aspect language features for concern coverage profiling
Proceedings of the 4th international conference on Aspect-oriented software development
Demand-driven structural testing with dynamic instrumentation
Proceedings of the 27th international conference on Software engineering
Prioritize Code for Testing to Improve Code Coverage of Complex Software
ISSRE '05 Proceedings of the 16th IEEE International Symposium on Software Reliability Engineering
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The increasing size and complexity of software systems has led to increased challenges in evaluating code coverage. In parallel, development projects for large complex software are increasingly limited in schedule and resources. Common code coverage analysis provides a complete measurement of testing breadth, but does not give guidance for coverage in a project setting. We propose a prioritized coverage approach that is indigenous to the development organization and provides capabilities for evaluating code coverage and setting priorities for testing. This paper presents an approach to code coverage analysis for large software that considers modern project constraints.