A survey on deep learning for software engineering

Y Yang, X **a, D Lo, J Grundy - ACM Computing Surveys (CSUR), 2022 - dl.acm.org
In 2006, Geoffrey Hinton proposed the concept of training “Deep Neural Networks (DNNs)”
and an improved model training method to break the bottleneck of neural network …

Social recommendation for social networks using deep learning approach: A systematic review, taxonomy, issues, and future directions

M Alrashidi, A Selamat, R Ibrahim, O Krejcar - IEEE Access, 2023 - ieeexplore.ieee.org
Due to the rise of social media, a vast volume of information is shared daily. Finding relevant
and acceptable information has become more challenging as the Internet's information flow …

MAAT: a novel ensemble approach to addressing fairness and performance bugs for machine learning software

Z Chen, JM Zhang, F Sarro, M Harman - … of the 30th ACM joint european …, 2022 - dl.acm.org
Machine Learning (ML) software can lead to unfair and unethical decisions, making software
fairness bugs an increasingly significant concern for software engineers. However …

Dual-interactive fusion for code-mixed deep representation learning in tag recommendation

L Li, P Wang, X Zheng, Q **e, X Tao, JD Velásquez - Information Fusion, 2023 - Elsevier
Automatic tagging on software information sites is a tag recommendation service. It aims to
recommend content-based tags for a software object to help developers make distinctions …

Ptm4tag: sharpening tag recommendation of stack overflow posts with pre-trained models

J He, B Xu, Z Yang, DG Han, C Yang, D Lo - Proceedings of the 30th …, 2022 - dl.acm.org
Stack Overflow is often viewed as one of the most influential Software Question & Answer
(SQA) websites, containing millions of programming-related questions and answers. Tags …

Representation learning for stack overflow posts: How far are we?

J He, X Zhou, B Xu, T Zhang, K Kim, Z Yang… - ACM Transactions on …, 2024 - dl.acm.org
The tremendous success of Stack Overflow has accumulated an extensive corpus of
software engineering knowledge, thus motivating researchers to propose various solutions …

[HTML][HTML] Improving Ponzi scheme contract detection using multi-channel TextCNN and transformer

Y Chen, H Dai, X Yu, W Hu, Z **e, C Tan - Sensors, 2021 - mdpi.com
With the development of blockchain technologies, many Ponzi schemes disguise
themselves under the veil of smart contracts. The Ponzi scheme contracts cause serious …

Post2vec: Learning distributed representations of stack overflow posts

B Xu, T Hoang, A Sharma, C Yang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Past studies have proposed solutions that analyze Stack Overflow content to help users find
desired information or aid various downstream software engineering tasks. A common step …

Duplicate question detection with deep learning in stack overflow

L Wang, L Zhang, J Jiang - IEEE Access, 2020 - ieeexplore.ieee.org
Stack Overflow is a popular Community-based Question Answer (CQA) website focused on
software programming and has attracted more and more users in recent years. However …

I know what you are searching for: Code snippet recommendation from stack overflow posts

Z Gao, X **a, D Lo, J Grundy, X Zhang… - ACM Transactions on …, 2023 - dl.acm.org
Stack Overflow has been heavily used by software developers to seek programming-related
information. More and more developers use Community Question and Answer forums, such …