Deepmutation github
WebAug 12, 2024 · DeepMutation: Mutation Testing of Deep Learning Systems. In 29th IEEE International Symposium on Software Reliability Engineering (ISSRE), Memphis, USA, Oct. 15-18, 2024. 100–111. Google Scholar WebDeepMutation : Mutation Testing of Deep Learning Systems Lei Ma 1 ; 2, Fuyuan Zhang , Jiyuan Sun 3, Minhui Xue , Bo Li 4, Felix Juefei-Xu 5, Chao Xie 3, Li Li 6, Yang Liu 2, Jianjun Zhao , and Yadong Wang 1 1 Harbin Institute of Technology, China 2 Nanyang Technological University, Singapore 3 Kyushu University, Japan 4 University of Illinois at …
Deepmutation github
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WebFeb 12, 2024 · In this paper, we address the second point, presenting DeepMutation, a tool wrapping our deep learning model into a fully automated tool chain able to generate, … WebMay 14, 2024 · Deep learning (DL) defines a new data-driven programming paradigm where the internal system logic is largely shaped by the training data. The standard way of …
WebDeepGauge: Multi-Granularity Testing Criteria for Deep Learning Systems Lei Ma1,3∗, Felix Juefei-Xu2, Fuyuan Zhang3, Jiyuan Sun4, Minhui Xue3, Bo Li5 Chunyang Chen6, Ting Su3, Li Li6, Yang Liu3, Jianjun Zhao4, Yadong Wang1 1 Harbin Institute of Technology, 2 Carnegie Mellon University, 3 Nanyang Technological University Singapore 4 Kyushu … Web2 days ago · Phage-plasmids are extra-chromosomal elements that act both as plasmids and as phages, whose eco-evolutionary dynamics remain poorly constrained. Here, we show that segregational drift and loss-of ...
Webtechnique (i.e., DeepMutation), which constructs mutation faults by learning from a number of real faults via classic sequence-to-sequence neural machine translation (NMT). Indeed, DeepMuta-tion opens a direction to avoid the efforts of manually designing mutation operators and incorporate program semantics via deep WebNov 1, 2024 · In DeepMutation (later extended into a tool called DeepMutation++ [19]), the authors propose a set of operators of two distinct categories: source level and model level operators. Source level ...
WebThe mutate method returns new object with changes. Contribute to axules/deep-mutation development by creating an account on GitHub.
WebFeb 12, 2024 · The empirical evaluation of this approach confirmed its ability to generate mutants representative of real faults. In this paper, we address the second point, presenting DeepMutation, a tool wrapping our deep learning model into a fully automated tool chain able to generate, inject, and test mutants learned from real faults. seyfarth law firm chicagoWebDeepMutation starts by reading the user-specified settings from a configuration file, storing the paths to the software under test, output folders, and other mutation preferences … seyfarth employee benefitsWebDeepMutation: A Neural Mutation Tool Michele Tufano Microsoft Redmond, WA, USA Jason Kimko, Shiya Wang William & Mary Williamsburg, VA, USA Cody Watson ... • The … seyfarth logoWebFeb 12, 2024 · DeepMutation: A Neural Mutation Tool. Michele Tufano, Jason Kimko, Shiya Wang, Cody Watson, Gabriele Bavota, Massimiliano Di Penta, Denys Poshyvanyk. … seyfarth shaw boston officeWebDeepMutation [17] and MuNN [18] were the first works to recognise the need for mutation operators tailored specifically to DL systems. In DeepMutation (later extended into a tool called DeepMutation++ [19]), the authors propose a set of operators of two distinct categories: source level and model level operators. seyfarth shaw attorney salaryWebThe results demonstrate that the mutation faults constructed by LEAM can not only better represent real faults than two state-of-the-art traditional techniques (i.e., Major and PIT) and DeepMutation, but also substantially boost two important downstream applications of mutation faults, i.e., test case prioritization and fault localization. seyfarth gotha vwWebJan 1, 2024 · DeepMutation: a neural mutation tool Published in ICSE '20: 42nd International Conference on Software Engineering, Companion Volume, Seoul, South … seyfarth shaw llp + fraud