On the significance of category prediction for code-comment synchronization

Z Yang, JW Keung, X Yu, Y Xiao, Z Jin… - ACM Transactions on …, 2023 - dl.acm.org
Software comments sometimes are not promptly updated in sync when the associated code
is changed. The inconsistency between code and comments may mislead the developers …

[HTML][HTML] Bots in software engineering: a systematic mapping study

S Santhanam, T Hecking, A Schreiber… - PeerJ Computer …, 2022 - peerj.com
Bots have emerged from research prototypes to deployable systems due to the recent
developments in machine learning, natural language processing and understanding …

Where Are Large Language Models for Code Generation on GitHub?

X Yu, L Liu, X Hu, JW Keung, J Liu, X Xia - arXiv preprint arXiv:2406.19544, 2024 - arxiv.org
The increasing use of Large Language Models (LLMs) in software development has
garnered significant attention from researchers assessing the quality of the code they …

Deep just-in-time inconsistency detection between comments and source code

S Panthaplackel, JJ Li, M Gligoric… - Proceedings of the AAAI …, 2021 - ojs.aaai.org
Natural language comments convey key aspects of source code such as implementation,
usage, and pre-and post-conditions. Failure to update comments accordingly when the …

Are your comments outdated? Toward automatically detecting code‐comment consistency

Y Huang, Y Chen, X Chen… - Journal of Software …, 2024 - Wiley Online Library
In software development and maintenance, code comments can help developers
understand source code and improve communication among developers. However …

Detecting code comment inconsistencies using llm and program analysis

Y Zhang - Companion Proceedings of the 32nd ACM …, 2024 - dl.acm.org
Code comments are the most important medium for documenting program logic and design.
Nevertheless, as modern software undergoes frequent updates and modifications …

Towards a taxonomy of Roxygen documentation in R packages

M Vidoni, Z Codabux - Empirical Software Engineering, 2023 - Springer
Software documentation is often neglected, impacting maintenance and reuse and leading
to technical issues. In particular, when working with scientific software, such issues in the …

Detecting inconsistencies in software architecture documentation using traceability link recovery

J Keim, S Corallo, D Fuchß… - 2023 IEEE 20th …, 2023 - ieeexplore.ieee.org
Documenting software architecture is important for a system's success. Software architecture
documentation (SAD) makes information about the system available and eases …

[PDF][PDF] Code Comment Inconsistency Detection and Rectification Using a Large Language Model

G Rong, Y Yu, S Liu, X Tan, T Zhang… - 2025 IEEE/ACM 47th …, 2024 - people.cs.umass.edu
Comments are widely used in source code. If a comment is consistent with the code snippet
it intends to annotate, it would aid code comprehension. Otherwise, Code Comment …

Leveraging Large Language Model to Assist Detecting Rust Code Comment Inconsistency

Y Zhang, Z Liu, Y Feng, B Xu - Proceedings of the 39th IEEE/ACM …, 2024 - dl.acm.org
Rust is renowned for its robust memory safety capabilities, yet its distinctive memory
management model poses substantial challenges in both writing and understanding …