[HTML][HTML] A decade of code comment quality assessment: A systematic literature review

P Rani, A Blasi, N Stulova, S Panichella, A Gorla… - Journal of Systems and …, 2023 - Elsevier
Code comments are important artifacts in software systems and play a paramount role in
many software engineering (SE) tasks related to maintenance and program comprehension …

Application of knowledge graph in software engineering field: A systematic literature review

L Wang, C Sun, C Zhang, W Nie, K Huang - Information and Software …, 2023 - Elsevier
Context: Knowledge graphs describe knowledge resources and their carriers through
visualization. Moreover, they mine, analyze, construct, draw, and display knowledge and …

Enhancing state-of-the-art classifiers with api semantics to detect evolved android malware

X Zhang, Y Zhang, M Zhong, D Ding, Y Cao… - Proceedings of the …, 2020 - dl.acm.org
Machine learning (ML) classifiers have been widely deployed to detect Android malware,
but at the same time the application of ML classifiers also faces an emerging problem. The …

Transferring cross-domain knowledge for video sign language recognition

D Li, X Yu, C Xu, L Petersson… - Proceedings of the IEEE …, 2020 - openaccess.thecvf.com
Word-level sign language recognition (WSLR) is a fundamental task in sign language
interpretation. It requires models to recognize isolated sign words from videos. However …

Prompt-tuned code language model as a neural knowledge base for type inference in statically-typed partial code

Q Huang, Z Yuan, Z **ng, X Xu, L Zhu… - Proceedings of the 37th …, 2022 - dl.acm.org
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 …

API-misuse detection driven by fine-grained API-constraint knowledge graph

X Ren, X Ye, Z **ng, X **a, X Xu, L Zhu… - Proceedings of the 35th …, 2020 - dl.acm.org
API misuses cause significant problem in software development. Existing methods detect
API misuses against frequent API usage patterns mined from codebase. They make a naive …

Automated summarization of stack overflow posts

B Kou, M Chen, T Zhang - 2023 IEEE/ACM 45th International …, 2023 - ieeexplore.ieee.org
Software developers often resort to Stack Overflow (SO) to fill their programming needs.
Given the abundance of relevant posts, navigating them and comparing different solutions is …

Recommending analogical APIS via knowledge graph embedding

M Liu, Y Yang, Y Lou, X Peng, Z Zhou, X Du… - Proceedings of the 31st …, 2023 - dl.acm.org
Library migration, which replaces the current library with a different one to retain the same
software behavior, is common in software evolution. An essential part of this is finding an …

Improving API knowledge discovery with ML: A case study of comparable API methods

D Nam, B Myers, B Vasilescu… - 2023 IEEE/ACM 45th …, 2023 - ieeexplore.ieee.org
Developers constantly learn new APIs, but often lack necessary information from
documentation, resorting instead to popular question-and-answer platforms such as Stack …

A learning-based approach for automatic construction of domain glossary from source code and documentation

C Wang, X Peng, M Liu, Z **ng, X Bai, B **e… - Proceedings of the 2019 …, 2019 - dl.acm.org
A domain glossary that organizes domain-specific concepts and their aliases and relations
is essential for knowledge acquisition and software development. Existing approaches use …