String searching algorithms
Empirical Studies of a Safe Regression Test Selection Technique
IEEE Transactions on Software Engineering
Testing object-oriented systems: models, patterns, and tools
Testing object-oriented systems: models, patterns, and tools
Ordering Broken Unit Tests for Focused Debugging
ICSM '04 Proceedings of the 20th IEEE International Conference on Software Maintenance
Text Mining: Predictive Methods for Analyzing Unstructured Information
Text Mining: Predictive Methods for Analyzing Unstructured Information
XUnit Test Patterns: Refactoring Test Code
XUnit Test Patterns: Refactoring Test Code
Visualizing Testsuites to Aid in Software Understanding
CSMR '07 Proceedings of the 11th European Conference on Software Maintenance and Reengineering
On The Detection of Test Smells: A Metrics-Based Approach for General Fixture and Eager Test
IEEE Transactions on Software Engineering
Proceedings of the eighteenth international symposium on Software testing and analysis
A Systematic Survey of Program Comprehension through Dynamic Analysis
IEEE Transactions on Software Engineering
Growing Object-Oriented Software, Guided by Tests
Growing Object-Oriented Software, Guided by Tests
Understanding Plug-in Test Suites from an Extensibility Perspective
WCRE '10 Proceedings of the 2010 17th Working Conference on Reverse Engineering
Aiding Software Developers to Maintain Developer Tests
CSMR '12 Proceedings of the 2012 16th European Conference on Software Maintenance and Reengineering
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In order to support test suite understanding, we investigate whether we can automatically derive relations between test cases. In particular, we search for trace-based similarities between (high-level) end-to-end tests on the one hand and fine grained unit tests on the other. Our approach uses the shared word count metric to determine similarity. We evaluate our approach in two case studies and show which relations between end-to-end and unit tests are found by our approach, and how this information can be used to support test suite understanding.