Latent Dirichlet allocation (LDA) and topic modeling: models, applications, a survey
Topic modeling is one of the most powerful techniques in text mining for data mining, latent
data discovery, and finding relationships among data and text documents. Researchers …
data discovery, and finding relationships among data and text documents. Researchers …
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 …
What is wrong with topic modeling? And how to fix it using search-based software engineering
Context Topic modeling finds human-readable structures in unstructured textual data. A
widely used topic modeling technique is Latent Dirichlet allocation. When running on …
widely used topic modeling technique is Latent Dirichlet allocation. When running on …
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 …
An empirical study of developer discussions on low-code software development challenges
Low-code software development (LCSD) is an emerging paradigm that combines minimal
source code with interactive graphical interfaces to promote rapid application development …
source code with interactive graphical interfaces to promote rapid application development …
[HTML][HTML] 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 …
Defect prediction with semantics and context features of codes based on graph representation learning
J Xu, F Wang, J Ai - IEEE Transactions on Reliability, 2020 - ieeexplore.ieee.org
To optimize the process of software testing and to improve software quality and reliability,
many attempts have been made to develop more effective methods for predicting software …
many attempts have been made to develop more effective methods for predicting software …
[HTML][HTML] Developer discussion topics on the adoption and barriers of low code software development platforms
Low-code software development (LCSD) is an emerging approach to democratize
application development for software practitioners from diverse backgrounds. LCSD …
application development for software practitioners from diverse backgrounds. LCSD …
Future trends in software engineering research for mobile apps
M Nagappan, E Shihab - 2016 IEEE 23rd international …, 2016 - ieeexplore.ieee.org
There has been tremendous growth in the use of mobile devices over the last few years.
This growth has fueled the development of millions of software applications for these mobile …
This growth has fueled the development of millions of software applications for these mobile …