In this paper, we propose an automatic approach for constructing an effective training set. In our approach, we select three categories of impact factors as ...
Automatic construction of an effective training set for prioritizing static analysis warnings · Guangtai Liang, Lingjing Wu, +3 authors. Hong Mei · Published in ...
In order to improve ineffective warning prioritization of static analysis tools, various approaches have been proposed to compute a ranking score for each ...
In this paper, we propose an automatic approach for constructing an effective training set. In our approach, we select three categories of impact factors as ...
Automatic Construction of an Effective Training Set for Prioritizing Static Analysis Warnings. In ASE 2010. [e] Sarah Heckman and Laurie Williams. 2009. A ...
" ABC-a " based prioritization for Lucene · Automatic construction of an effective training set for prioritizing static analysis warnings. Conference Paper.
Publication Results. Automatic construction of an effective training set for prioritizing static analysis warnings. Publication type: Conference Proceeding.
Automatic construction of an effective training set for prioritizing static analysis warnings, 2010, International Conference on Automated Software Engineerin.
Sep 14, 2020 · In this blog post, we describe new techniques that help users instantiate SCAIFE API methods and integrate them with their own tools.
Missing: effective warnings.
Many features have been proposed to build classification models for the automatic identification of actionable warnings. Through analyzing these features and ...