However, the benefits are still unclear, since existing benchmarks do not classify bugs into categories and existing approaches cannot mine repair models for bug categories. Although their approach produces positive results, we argue that it can be feasible to further improve their approach, if we mine repair models for bug categories, instead of all bugs. To improve the effectiveness to generate patches, Martinez and Monperrus (2013b) proposed an approach that mines repair models from past fixes. With predefined repair operators and test cases, test-based repair approaches use search algorithms to generate patches for a bug, until a patch passes all the test cases. Recently, researchers start to explore automatic program repair. As a common practice, researchers propose approaches for specific bugs, and their approaches typically are limited in handling the variety among bugs. It has long been a hot research topic to detect and to repair bugs automatically.
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