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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 …
An empirical analysis of flaky tests
Regression testing is a crucial part of software development. It checks that software changes
do not break existing functionality. An important assumption of regression testing is that test …
do not break existing functionality. An important assumption of regression testing is that test …
A comprehensive study of deep learning compiler bugs
There are increasing uses of deep learning (DL) compilers to generate optimized code,
boosting the runtime performance of DL models on specific hardware. Like their traditional …
boosting the runtime performance of DL models on specific hardware. Like their traditional …
Understanding and detecting real-world performance bugs
Developers frequently use inefficient code sequences that could be fixed by simple patches.
These inefficient code sequences can cause significant performance degradation and …
These inefficient code sequences can cause significant performance degradation and …
Learning from mistakes: a comprehensive study on real world concurrency bug characteristics
The reality of multi-core hardware has made concurrent programs pervasive. Unfortunately,
writing correct concurrent programs is difficult. Addressing this challenge requires advances …
writing correct concurrent programs is difficult. Addressing this challenge requires advances …
Predicting defects using network analysis on dependency graphs
In software development, resources for quality assurance are limited by time and by cost. In
order to allocate resources effectively, managers need to rely on their experience backed by …
order to allocate resources effectively, managers need to rely on their experience backed by …
Personalized defect prediction
Many defect prediction techniques have been proposed. While they often take the author of
the code into consideration, none of these techniques build a separate prediction model for …
the code into consideration, none of these techniques build a separate prediction model for …
Repairing deep neural networks: Fix patterns and challenges
Significant interest in applying Deep Neural Network (DNN) has fueled the need to support
engineering of software that uses DNNs. Repairing software that uses DNNs is one such …
engineering of software that uses DNNs. Repairing software that uses DNNs is one such …
Predicting vulnerable software components
S Neuhaus, T Zimmermann, C Holler… - Proceedings of the 14th …, 2007 - dl.acm.org
Where do most vulnerabilities occur in software? Our Vulture tool automatically mines
existing vulnerability databases and version archives to map past vulnerabilities to …
existing vulnerability databases and version archives to map past vulnerabilities to …
Bug characteristics in open source software
To design effective tools for detecting and recovering from software failures requires a deep
understanding of software bug characteristics. We study software bug characteristics by …
understanding of software bug characteristics. We study software bug characteristics by …