Robotics & Machine Learning Daily News2024,Issue(Mar.14) :65-66.

Reports Outline Machine Learning Study Results from Shanghai Jiao Tong Universit y (Code-aware Fault Localization With Pretraining and Interpretable Machine Lea rning)

Robotics & Machine Learning Daily News2024,Issue(Mar.14) :65-66.

Reports Outline Machine Learning Study Results from Shanghai Jiao Tong Universit y (Code-aware Fault Localization With Pretraining and Interpretable Machine Lea rning)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learn ing have been published. According to news originating from Ningbo, People’s Rep ublic of China, by NewsRx correspondents, research stated, “Following the rapid development of deep learning, many studies in the field of fault localization (F L) have utilized deep learning to analyze statements’ coverage information (i.e. , executed or not executed) and test cases’ results (i.e., failing or passing), which have shown dramatic ability in identifying suspicious statements potential ly responsible for failures. However, they mainly pay attention to the binary in formation of executing test cases but ignore incorporating code snippets and the ir inner relationships into the learning process.”

Key words

Ningbo/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/Shanghai Jiao Tong University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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