Abstract
Test case prioritization (TCP) techniques aim to schedule the order of regression test suite to maximize some properties, such as early fault detection. In order to measure the abilities of different TCP techniques for early fault detection, a metric named average percentage of faults detected (APFD) is widely adopted. In this paper, we analyze the metric APFD and explore the gain of measuring TCP techniques from a control theory viewpoint. Based on that, we propose a generalized metric for TCP. This new metric focuses on the gain of defining early fault detection and measuring TCP techniques for various needs in different evaluation scenarios. By adopting this new metric, not only flexibility can be guaranteed, but also explicit physical significance for the metric will be provided before evaluation.
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