Machine learning for actionable warning identification: A comprehensive survey
Actionable Warning Identification (AWI) plays a crucial role in improving the usability of static
code analyzers. With recent advances in Machine Learning (ML), various approaches have …
code analyzers. With recent advances in Machine Learning (ML), various approaches have …
ViolationTracker: Building Precise Histories for Static Analysis Violations
P Yu, Y Wu, X Peng, J Peng, J Zhang… - 2023 IEEE/ACM 45th …, 2023 - ieeexplore.ieee.org
Automatic static analysis tools (ASATs) detect source code violations to static analysis rules
and are usually used as a guard for source code quality. The adoption of ASATs, however, is …
and are usually used as a guard for source code quality. The adoption of ASATs, however, is …
A Large-Scale Empirical Study of Actionable Warning Distribution within Projects
Static Analysis Tools (SATs) show potential defect detection ability while their usability is
severely hindered by massive unactionable warnings. To improve the usability of SATs …
severely hindered by massive unactionable warnings. To improve the usability of SATs …
Towards understanding fixes of sonarqube static analysis violations: A large-scale empirical study
P Yu, Y Wu, J Peng, J Zhang… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
Automated static analysis tools (ASATs) have become an integrated part of the software
development workflow in many projects. While developers benefit from these tools to deliver …
development workflow in many projects. While developers benefit from these tools to deliver …
Pre-trained Model-based Actionable Warning Identification: A Feasibility Study
Actionable Warning Identification (AWI) plays a pivotal role in improving the usability of static
code analyzers. Currently, Machine Learning (ML)-based AWI approaches, which mainly …
code analyzers. Currently, Machine Learning (ML)-based AWI approaches, which mainly …