Dual-interactive fusion for code-mixed deep representation learning in tag recommendation
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 …
recommend content-based tags for a software object to help developers make distinctions …
Deep learning for just-in-time defect prediction
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 …
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 …
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
Purpose Software developers extensively use stack overflow (SO) for knowledge sharing on
software development. Thus, software engineering researchers have started mining the …
software development. Thus, software engineering researchers have started mining the …
TLEL: A two-layer ensemble learning approach for just-in-time defect prediction
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 …
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
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 …
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
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 …
traded for short-term goals in software projects. Recently, the concept of self-admitted …
Combining text mining and data mining for bug report classification
Bug reports represent an important information source for software construction.
Misclassification of these reports inevitably introduces bias. Manual examinations can help …
Misclassification of these reports inevitably introduces bias. Manual examinations can help …
PTM4Tag: sharpening tag recommendation of stack overflow posts with pre-trained models
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 …
(SQA) websites, containing millions of programming-related questions and answers. Tags …
Predicting semantically linkable knowledge in developer online forums via convolutional neural network
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 …
units often contain semantically relevant knowledge, and thus linkable for different purposes …