Learning to construct better mutation faults
Nettet14. jan. 2024 · The health condition of rolling bearing possesses a significant impact on the safety and efficiency of rotating machinery. Accordingly, to diagnose the faults in rolling bearings effectively and accurately, a novel hybrid approach coupling variational mode decomposition (VMD), composite multiscale fine-sorted dispersion entropy (CMFSDE) … NettetWe propose a novel DL-based mutation technique (LEAM), which adapts the syntax-guided encoder-decoder architecture to build two sub-models based on AST …
Learning to construct better mutation faults
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Nettet13. okt. 2024 · In this work, we propose a novel DL-based mutation technique (i.e., LEAM) to overcome the limitations of both traditional techniques and DeepMutation. LEAM … NettetLearning to Construct Better Mutation Faults. Conference Paper. Jan 2024; Zhao Tian; Junjie Chen; ... (APR) helps improve the efficiency of software development and maintenance.
Nettet12. sep. 2024 · In this study, we tried to reduce the cost of test oracle by using learning-based methods to improve the efficiency of MBFL. 2.2 Mutation Based Fault Localization. With MBFL, the test case suite achieves similar results on a faulty program and mutant, and reflects the similarity of behavior between the two [12, 25]. Nettet1. aug. 2024 · An empirical analysis of Java mutation testing tools with manual analysis and real faults Mutation analysis is a well-studied, fault-based testing technique. It …
Nettet29. aug. 2001 · Learning to Construct Better Mutation Faults. Conference Paper. Jan 2024; Zhao Tian; Junjie Chen; Qihao Zhu; Lingming Zhang; View. How do Java mutation tools differ? Article. Nov 2024; COMMUN ACM; Nettet1. mai 2024 · Learning to Construct Better Mutation Faults. Conference Paper. Jan 2024; Zhao Tian; Qihao Zhu; ... The experimental results show that OCP achieves a better fault detection rate than the state-of ...
NettetContribute to tianzhaotju/LEAM development by creating an account on GitHub.
Nettetmutation algorithm is applied for the detection of faults from the software. To improve performance of mutation algorithm in terms of fault detection rate the technique of back propagation is applied which learn from the precious experience and drive new values. The system is tested on 10 test cases and simulation is performed in MATLAB. jennifer serial actorNettet29. sep. 2024 · We propose a novel approach to automatically learn mutants from faults in real programs. First, our approach processes bug fixing changes using fine-grained … paccar thermostat replacementNettet14. okt. 2024 · Welcome to the website of the ASE 2024 conference. The 37th IEEE/ACM International Conference on Automated Software Engineering. The ASE conference is the premier research forum for Automated Software Engineering. Each year, it brings together researchers and practitioners from academia and industry to discuss foundations, … paccar technical center open houseNettet2. Effects of Mutations on Protein Function: Missense, Nonsense, and Silent Mutations. Proteins are vital for healthy cells, and protein function can be negatively affected by … paccar tickerNettet13. apr. 2024 · A heterogeneous multiagent system (MAS) can easily experience unpredictable faults due to its complex structure and involvement of different individuals. However, existing approaches have several issues, including complicated network architecture, insufficient feature extraction, and poor generalization ability. This study … jennifer sexton high conflict divorceNettetLearning to Construct Better Mutation Faults. Zhao Tian, Junjie Chen, Qihao Zhu, Junjie Yang, + 1. October 2024ASE '22: Proceedings of the 37th IEEE/ACM … jennifer serravallo reading strategies chartNettetLearning to Construct Better Mutation Faults. Z Tian, J Chen, Q Zhu, J Yang, L Zhang. 37th IEEE/ACM International Conference on Automated Software Engineering, 1-13, 2024. 8: 2024: FIRA: fine-grained graph-based code change representation for automated commit message generation. jennifer sewell university of leeds