Clear: contrastive learning for api recommendation

M Wei, NS Harzevili, Y Huang, J Wang… - Proceedings of the 44th …, 2022 - dl.acm.org
Automatic API recommendation has been studied for years. There are two orthogonal lines
of approaches for this task, ie, information-retrieval-based (IR-based) and neural-based …

AI-powered model repair: an experience report—lessons learned, challenges, and opportunities

A Barriga, A Rutle, R Heldal - Software and Systems Modeling, 2022 - Springer
Artificial intelligence has already proven to be a powerful tool to automate and improve how
we deal with software development processes. The application of artificial intelligence to …

A systematic review of multidimensional relevance estimation in information retrieval

G Peikos, G Pasi - Wiley Interdisciplinary Reviews: Data Mining …, 2024 - Wiley Online Library
In information retrieval, relevance is perceived as a multidimensional and dynamic concept
influenced by user, task, and domain factors. Relying on this perspective, researchers have …

Opportunities in intelligent modeling assistance

G Mussbacher, B Combemale, J Kienzle… - Software and Systems …, 2020 - Springer
Modeling is requiring increasingly larger efforts while becoming indispensable given the
complexity of the problems we are solving. Modelers face high cognitive load to understand …

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 …

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 …

Boosting API recommendation with implicit feedback

Y Zhou, X Yang, T Chen, Z Huang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Developers often need to use appropriate APIs to program efficiently, but it is usually a
difficult task to identify the exact one they need from a vast list of candidates. To ease the …

PatchZero: Zero-shot automatic patch correctness assessment

X Zhou, B Xu, K Kim, DG Han, T Le-Cong, J He… - arXiv preprint arXiv …, 2023 - arxiv.org
Automated Program Repair (APR) techniques have shown more and more promising results
in fixing real-world bugs. Despite the effectiveness, APR techniques still face an overfitting …

SOSum: a dataset of stack overflow post summaries

B Kou, Y Di, M Chen, T Zhang - … of the 19th International Conference on …, 2022 - dl.acm.org
Stack Overflow (SO) is becoming an indispensable part of modern software development
workflow. However, given the limited time, attention, and memory capacity of programmers …

Automatic api usage scenario documentation from technical q&a sites

G Uddin, F Khomh, CK Roy - ACM Transactions on Software …, 2021 - dl.acm.org
The online technical Q&A site Stack Overflow (SO) is popular among developers to support
their coding and diverse development needs. To address shortcomings in API official …