Improving actionable warning identification via the refined warning-inducing context representation  

作　　者：Xiuting GE Chunrong FANG Xuanye LI Quanjun ZHANG Jia LIU Zhihong ZHAO Zhenyu CHEN 

机构地区：[1]State Key Laboratory for Novel Software Technology,Nanjing University,Nanjing 210093,China

出　　处：《Science China(Information Sciences)》2024年第5期317-318,共2页中国科学（信息科学）（英文版）

基　　金：supported by National Natural Science Foundation of China(Grant Nos.61932012,62141215,62272220,62372228);Science,Technology and Innovation Commission of Shenzhen Municipality(Grant No.CJGJZD20200617103001003).

摘　　要：Static analysis tools(SATs)have shown potential ability in software quality assurance[1].However,SATs report an overwhelming number of warnings,where most warnings are unactionable ones(i.e.,warnings that are not acted on or fixed by developers).It is not a trivial task for developers to find actionable warnings(i.e.,warnings that are acted on and fixed by developers)in all reported warnings.Hence,the excessive unactionable warnings seriously impede the usability of SATs[2].

关 键 词：action refined TRIVIAL 

分 类 号：TP311.52[自动化与计算机技术—计算机软件与理论]