Understanding static code warnings: An incremental AI approach

作者：

Highlights：

• Incremental AI tool for Static Warning Identification.

• A case study to help developers Ignoring falsely reported static warnings.

• Self-adaptive active learning process.

• Reducing human inspection cost in software mining on early life cycle.

摘要

•Incremental AI tool for Static Warning Identification.•A case study to help developers Ignoring falsely reported static warnings.•Self-adaptive active learning process.•Reducing human inspection cost in software mining on early life cycle.

论文关键词：Actionable warning identification,Active learning,Static analysis,Selection process

论文评审过程：Received 30 November 2019, Revised 18 May 2020, Accepted 16 October 2020, Available online 2 November 2020, Version of Record 10 February 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.114134