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 …
The effectiveness of supervised machine learning algorithms in predicting software refactoring
Refactoring is the process of changing the internal structure of software to improve its quality
without modifying its external behavior. Empirical studies have repeatedly shown that …
without modifying its external behavior. Empirical studies have repeatedly shown that …
What are weak links in the npm supply chain?
N Zahan, T Zimmermann, P Godefroid… - Proceedings of the 44th …, 2022 - dl.acm.org
Modern software development frequently uses third-party packages, raising the concern of
supply chain security attacks. Many attackers target popular package managers, like npm …
supply chain security attacks. Many attackers target popular package managers, like npm …
Modern code review: a case study at google
Employing lightweight, tool-based code review of code changes (aka modern code review)
has become the norm for a wide variety of open-source and industrial systems. In this paper …
has become the norm for a wide variety of open-source and industrial systems. In this paper …
[图书][B] Feature engineering for machine learning and data analytics
Feature engineering plays a vital role in big data analytics. Machine learning and data
mining algorithms cannot work without data. Little can be achieved if there are few features …
mining algorithms cannot work without data. Little can be achieved if there are few features …
An empirical comparison of model validation techniques for defect prediction models
C Tantithamthavorn, S McIntosh… - IEEE Transactions …, 2016 - ieeexplore.ieee.org
Defect prediction models help software quality assurance teams to allocate their limited
resources to the most defect-prone modules. Model validation techniques, such as-fold …
resources to the most defect-prone modules. Model validation techniques, such as-fold …
Curating github for engineered software projects
N Munaiah, S Kroh, C Cabrey, M Nagappan - Empirical Software …, 2017 - Springer
Software forges like GitHub host millions of repositories. Software engineering researchers
have been able to take advantage of such a large corpora of potential study subjects with …
have been able to take advantage of such a large corpora of potential study subjects with …
Heterogeneous defect prediction
Software defect prediction is one of the most active research areas in software engineering.
We can build a prediction model with defect data collected from a software project and …
We can build a prediction model with defect data collected from a software project and …
A large scale study of programming languages and code quality in github
What is the effect of programming languages on software quality? This question has been a
topic of much debate for a very long time. In this study, we gather a very large data set from …
topic of much debate for a very long time. In this study, we gather a very large data set from …
A large-scale empirical study of just-in-time quality assurance
Defect prediction models are a well-known technique for identifying defect-prone files or
packages such that practitioners can allocate their quality assurance efforts (eg, testing and …
packages such that practitioners can allocate their quality assurance efforts (eg, testing and …