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Codetrans: Towards cracking the language of silicon's code through self-supervised deep learning and high performance computing
Currently, a growing number of mature natural language processing applications make
people's life more convenient. Such applications are built by source code-the language in …
people's life more convenient. Such applications are built by source code-the language in …
How to improve deep learning for software analytics: (a case study with code smell detection)
To reduce technical debt and make code more maintainable, it is important to be able to
warn programmers about code smells. State-of-the-art code small detectors use deep …
warn programmers about code smells. State-of-the-art code small detectors use deep …
A deep intelligent framework for software risk prediction using improved firefly optimization
For the success of a software project, early and precise discrimination of software
requirement risks are essential. Researchers have suggested several predictive methods …
requirement risks are essential. Researchers have suggested several predictive methods …
Old but Gold: Reconsidering the value of feedforward learners for software analytics
There has been an increased interest in the use of deep learning approaches for software
analytics tasks. State-of-the-art techniques leverage modern deep learning techniques such …
analytics tasks. State-of-the-art techniques leverage modern deep learning techniques such …
[PDF][PDF] Exploring the possibilities of applying transfer learning methods for natural language processing in software development
W Ding - Master's thesis, Dept. Comput. Sci., Technische …, 2021 - wwwmatthes.in.tum.de
Nowadays, we have a growing number of mature applications in the field of natural
language processing (NLP), especially natural language understanding (NLU) and …
language processing (NLP), especially natural language understanding (NLU) and …