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Code search: A survey of techniques for finding code
The immense amounts of source code provide ample challenges and opportunities during
software development. To handle the size of code bases, developers commonly search for …
software development. To handle the size of code bases, developers commonly search for …
Opportunities and challenges in code search tools
Code search is a core software engineering task. Effective code search tools can help
developers substantially improve their software development efficiency and effectiveness. In …
developers substantially improve their software development efficiency and effectiveness. In …
Unifying the perspectives of nlp and software engineering: A survey on language models for code
Z Zhang, C Chen, B Liu, C Liao, Z Gong, H Yu… - arxiv preprint arxiv …, 2023 - arxiv.org
In this work we systematically review the recent advancements in software engineering with
language models, covering 70+ models, 40+ evaluation tasks, 180+ datasets, and 900 …
language models, covering 70+ models, 40+ evaluation tasks, 180+ datasets, and 900 …
On the efficiency of test suite based program repair: A systematic assessment of 16 automated repair systems for java programs
Test-based automated program repair has been a prolific field of research in software
engineering in the last decade. Many approaches have indeed been proposed, which …
engineering in the last decade. Many approaches have indeed been proposed, which …
On the importance of building high-quality training datasets for neural code search
The performance of neural code search is significantly influenced by the quality of the
training data from which the neural models are derived. A large corpus of high-quality query …
training data from which the neural models are derived. A large corpus of high-quality query …
Aroma: Code recommendation via structural code search
Programmers often write code that has similarity to existing code written somewhere. A tool
that could help programmers to search such similar code would be immensely useful. Such …
that could help programmers to search such similar code would be immensely useful. Such …
Infercode: Self-supervised learning of code representations by predicting subtrees
Learning code representations has found many uses in software engineering, such as code
classification, code search, comment generation, and bug prediction, etc. Although …
classification, code search, comment generation, and bug prediction, etc. Although …
Checking smart contracts with structural code embedding
Smart contracts have been increasingly used together with blockchains to automate
financial and business transactions. However, many bugs and vulnerabilities have been …
financial and business transactions. However, many bugs and vulnerabilities have been …
Learning to spot and refactor inconsistent method names
To ensure code readability and facilitate software maintenance, program methods must be
named properly. In particular, method names must be consistent with the corresponding …
named properly. In particular, method names must be consistent with the corresponding …
Prompt-tuned code language model as a neural knowledge base for type inference in statically-typed partial code
Partial code usually involves non-fully-qualified type names (non-FQNs) and undeclared
receiving objects. Resolving the FQNs of these non-FQN types and undeclared receiving …
receiving objects. Resolving the FQNs of these non-FQN types and undeclared receiving …