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

L Li, P Wang, X Zheng, Q Xie, 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 …

Deep learning for just-in-time defect prediction

X Yang, D Lo, X Xia, Y Zhang… - 2015 IEEE International …, 2015 - ieeexplore.ieee.org
Defect prediction is a very meaningful topic, particularly at change-level. Change-level
defect prediction, which is also referred as just-in-time defect prediction, could not only …

What are mobile developers asking about? a large scale study using stack overflow

C Rosen, E Shihab - Empirical Software Engineering, 2016 - Springer
The popularity of mobile devices has been steadily growing in recent years. These devices
heavily depend on software from the underlying operating systems to the applications they …

A survey on mining stack overflow: question and answering (Q&A) community

A Ahmad, C Feng, S Ge, A Yousif - Data Technologies and …, 2018 - emerald.com
Purpose Software developers extensively use stack overflow (SO) for knowledge sharing on
software development. Thus, software engineering researchers have started mining the …

TLEL: A two-layer ensemble learning approach for just-in-time defect prediction

X Yang, D Lo, X Xia, J Sun - Information and Software Technology, 2017 - Elsevier
Context Defect prediction is a very meaningful topic, particularly at change-level. Change-
level defect prediction, which is also referred as just-in-time defect prediction, could not only …

What security questions do developers ask? a large-scale study of stack overflow posts

XL Yang, D Lo, X Xia, ZY Wan, JL Sun - Journal of Computer Science and …, 2016 - Springer
Security has always been a popular and critical topic. With the rapid development of
information technology, it is always attracting people's attention. However, since security has …

Identifying self-admitted technical debt in open source projects using text mining

Q Huang, E Shihab, X Xia, D Lo, S Li - Empirical Software Engineering, 2018 - Springer
Technical debt is a metaphor to describe the situation in which long-term code quality is
traded for short-term goals in software projects. Recently, the concept of self-admitted …

Combining text mining and data mining for bug report classification

Y Zhou, Y Tong, R Gu, H Gall - Journal of Software: Evolution …, 2016 - Wiley Online Library
Bug reports represent an important information source for software construction.
Misclassification of these reports inevitably introduces bias. Manual examinations can help …

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 …

Predicting semantically linkable knowledge in developer online forums via convolutional neural network

B Xu, D Ye, Z Xing, X Xia, G Chen, S Li - Proceedings of the 31st IEEE …, 2016 - dl.acm.org
Consider a question and its answers in Stack Overflow as a knowledge unit. Knowledge
units often contain semantically relevant knowledge, and thus linkable for different purposes …