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pro vyhledávání: '"Gall, A C"'
Verifying the execution of a program is complicated and often limited by the inability to validate the code's correctness. It is a crucial aspect of scientific research, where it is needed to ensure the reproducibility and validity of experimental re
Externí odkaz:
http://arxiv.org/abs/2402.13792
On-the-fly syntax highlighting is the task of rapidly associating visual secondary notation values with each character of a language derivation. Research in this domain is driven by the prevalence of online software development tools, which frequentl
Externí odkaz:
http://arxiv.org/abs/2402.08754
The detailed design and operation of the Smithsonian Astrophysical Observatory's EBIT are described for the first time, including recent design upgrades that have led to improved system stability and greater user control, increasing the scope of poss
Externí odkaz:
http://arxiv.org/abs/2401.13088
Autor:
Gu, Jian, Gall, Harald C.
Deep code generation is a topic of deep learning for software engineering (DL4SE), which adopts neural models to generate code for the intended functions. Since end-to-end neural methods lack domain knowledge and software hierarchy awareness, they te
Externí odkaz:
http://arxiv.org/abs/2209.01566
Researchers have been highly active to investigate the classical machine learning workflow and integrate best practices from the software engineering lifecycle. However, deep learning exhibits deviations that are not yet covered in this conceptual de
Externí odkaz:
http://arxiv.org/abs/2208.12308
For software interacting directly with real-world end-users, it is common practice to script scenario tests validating the system's compliance with a number of its features. However, these do not accommodate the replication of the type of end-user ac
Externí odkaz:
http://arxiv.org/abs/2208.12261
With the presence of online collaborative tools for software developers, source code is shared and consulted frequently, from code viewers to merge requests and code snippets. Typically, code highlighting quality in such scenarios is sacrificed in fa
Externí odkaz:
http://arxiv.org/abs/2208.02815
Unit testing verifies the presence of faults in individual software components. Previous research has been targeting the automatic generation of unit tests through the adoption of random or search-based algorithms. Despite their effectiveness, these
Externí odkaz:
http://arxiv.org/abs/2204.05561
Automatic code summarization is beneficial to daily software development since it could help reduce the requirement of manual writing. Currently, artificial intelligence is undergoing a paradigm shift. The foundation models pretrained on massive data
Externí odkaz:
http://arxiv.org/abs/2201.05222
The Transformer architecture and transfer learning have marked a quantum leap in natural language processing, improving the state of the art across a range of text-based tasks. This paper examines how these advancements can be applied to and improve
Externí odkaz:
http://arxiv.org/abs/2108.05890