Progress on approaches to software defect prediction
Software defect prediction is one of the most popular research topics in software
engineering. It aims to predict defect‐prone software modules before defects are discovered …
engineering. It aims to predict defect‐prone software modules before defects are discovered …
Analyzing and automatically labelling the types of user issues that are raised in mobile app reviews
Mobile app reviews by users contain a wealth of information on the issues that users are
experiencing. For example, a review might contain a feature request, a bug report, and/or a …
experiencing. For example, a review might contain a feature request, a bug report, and/or a …
Data quality for software vulnerability datasets
The use of learning-based techniques to achieve automated software vulnerability detection
has been of longstanding interest within the software security domain. These data-driven …
has been of longstanding interest within the software security domain. These data-driven …
An empirical study on learning bug-fixing patches in the wild via neural machine translation
Millions of open source projects with numerous bug fixes are available in code repositories.
This proliferation of software development histories can be leveraged to learn how to fix …
This proliferation of software development histories can be leveraged to learn how to fix …
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 …
Data quality matters: A case study on data label correctness for security bug report prediction
In the research of mining software repositories, we need to label a large amount of data to
construct a predictive model. The correctness of the labels will affect the performance of a …
construct a predictive model. The correctness of the labels will affect the performance of a …
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 …
The impact of automated parameter optimization on defect prediction models
C Tantithamthavorn, S McIntosh… - IEEE Transactions …, 2018 - ieeexplore.ieee.org
Defect prediction models-classifiers that identify defect-prone software modules-have
configurable parameters that control their characteristics (eg, the number of trees in a …
configurable parameters that control their characteristics (eg, the number of trees in a …
Bug report, feature request, or simply praise? on automatically classifying app reviews
W Maalej, H Nabil - 2015 IEEE 23rd international requirements …, 2015 - ieeexplore.ieee.org
App stores like Google Play and Apple AppStore have over 3 Million apps covering nearly
every kind of software and service. Billions of users regularly download, use, and review …
every kind of software and service. Billions of users regularly download, use, and review …
AR-miner: mining informative reviews for developers from mobile app marketplace
With the popularity of smartphones and mobile devices, mobile application (aka “app”)
markets have been growing exponentially in terms of number of users and downloads. App …
markets have been growing exponentially in terms of number of users and downloads. App …