Feature Vectors for Performance Test Case Classification

초록

This paper proposes a feature-vector for characterizing performance test cases. The feature-vector is composed of six attributes such as use of thread, measuring elapsed time and counting successful and failed number of test cases. In order to identify the feature vector, we thoroughly examined the test cases from five open source projects and extracted performance cases. After then, we established the common feature vector discovered from the performance test cases, and analyzed distribution of the feature vector in the performance as well as general test cases to show the validity of the feature-vector.

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