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Predictive models in software engineering: Challenges and opportunities
Predictive models are one of the most important techniques that are widely applied in many
areas of software engineering. There have been a large number of primary studies that …
areas of software engineering. There have been a large number of primary studies that …
Automatically learning semantic features for defect prediction
Software defect prediction, which predicts defective code regions, can help developers find
bugs and prioritize their testing efforts. To build accurate prediction models, previous studies …
bugs and prioritize their testing efforts. To build accurate prediction models, previous studies …
Deep semantic feature learning for software defect prediction
Software defect prediction, which predicts defective code regions, can assist developers in
finding bugs and prioritizing their testing efforts. Traditional defect prediction features often …
finding bugs and prioritizing their testing efforts. Traditional defect prediction features often …
A literature review of research in bug resolution: Tasks, challenges and future directions
Due to the increasing scale and complexity of software products, software maintenance
especially on bug resolution has become a challenging task. Generally in large-scale …
especially on bug resolution has become a challenging task. Generally in large-scale …
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 …
Topic modeling in software engineering research
Topic modeling using models such as Latent Dirichlet Allocation (LDA) is a text mining
technique to extract human-readable semantic “topics”(ie, word clusters) from a corpus of …
technique to extract human-readable semantic “topics”(ie, word clusters) from a corpus of …
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 …
A survey on the use of topic models when mining software repositories
Researchers in software engineering have attempted to improve software development by
mining and analyzing software repositories. Since the majority of the software engineering …
mining and analyzing software repositories. Since the majority of the software engineering …
Boosting bug-report-oriented fault localization with segmentation and stack-trace analysis
To deal with post-release bugs, many software projects set up public bug repositories for
users all over the world to report bugs that they have encountered. Recently, researchers …
users all over the world to report bugs that they have encountered. Recently, researchers …
Improving automated bug triaging with specialized topic model
X **a, D Lo, Y Ding, JM Al-Kofahi… - IEEE Transactions …, 2016 - ieeexplore.ieee.org
Bug triaging refers to the process of assigning a bug to the most appropriate developer to fix.
It becomes more and more difficult and complicated as the size of software and the number …
It becomes more and more difficult and complicated as the size of software and the number …