Titlebook: Automated Software Engineering: A Deep Learning-Based Approach; Suresh Chandra Satapathy,Ajay Kumar Jena,Saurabh B Book 2020 The Editor(s)

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書目名稱Automated Software Engineering: A Deep Learning-Based Approach讀者反饋




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Berichte des German Chapter of the ACMlearning from past history and generating patches from correct code via probabilistic model. These approaches given the right environments play significant role in reducing the effort and time consumption as well as cost of the bug fixing for the software developers. In this chapter, various machine

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Nelson Baloian,José A. Pino,Olivier Moteletl. We performed an empirical validation to demonstrate that semi-supervised machine learning techniques are sustaining the higher accuracy rates like supervised machine learning techniques used in the literature.

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Usage of Machine Learning in Software Testing,learning from past history and generating patches from correct code via probabilistic model. These approaches given the right environments play significant role in reducing the effort and time consumption as well as cost of the bug fixing for the software developers. In this chapter, various machine

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Feature-Based Semi-supervised Learning to Detect Malware from Android,l. We performed an empirical validation to demonstrate that semi-supervised machine learning techniques are sustaining the higher accuracy rates like supervised machine learning techniques used in the literature.