@article{(Open Science Index):https://publications.waset.org/pdf/10013549,
	  title     = {Assertion-Driven Test Repair Based on Priority Criteria},
	  author    = {Ruilian Zhao and  Shukai Zhang and  Yan Wang and  Weiwei Wang},
	  country	= {},
	  institution	= {},
	  abstract     = {Repairing broken test cases is an expensive and challenging task in evolving software systems. Although an automated repair technique with intent-preservation has been proposed, it does not take into account the association between test repairs and assertions, leading a large number of irrelevant candidates and decreasing the repair capability. This paper proposes a assertion-driven test repair approach. Furthermore, a intent-oriented priority criterion is raised to guide the repair candidate generation, making the repairs closer to the intent of the test. In more detail, repair targets are determined through post-dominance relations between assertions and the methods that directly cause compilation errors. Then, test repairs are generated from the target in a bottom-up way, guided by the the intent-oriented priority criteria. Finally, the generated repair candidates are prioritized to match the original test intent. The approach is implemented and evaluated on the benchmark of 4 open-source programs and 91 broken test cases. The result shows that the approach can fix 89% (81/91) broken test cases, which are more effective than the existing intent-preserved test repair approach, and our intent-oriented priority criteria work well.},
	    journal   = {International Journal of Computer and Systems Engineering},
	  volume    = {18},
	  number    = {3},
	  year      = {2024},
	  pages     = {133 - 142},
	  ee        = {https://publications.waset.org/pdf/10013549},
	  url   	= {https://publications.waset.org/vol/207},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 207, 2024},
	}