Static Analysis Techniques and Tools: A Systematic Mapping Study

Abstract

The main disadvantage of static analysis tools is their high false positive rates. False positives are errors that either do not exist or do not lead to serious software failures. Thus, the benefits of automated static analysis tools are reduced due to the need for manual interventions to assess true and false positive warnings. This paper presents a systematic mapping study to identify current state-of-the-art static analysis techniques and tools as well as the main approaches that have been developed to mitigate false positives.

Publication
In Proceedings The Eighth International Conference on Software Engineering Advances (ICSEA 2013)
Fabrizzio Soares
Fabrizzio Soares
Associate Professor and CS Chair

Fabrizzio Soares is a professor of Computer Science, Information Systems and Software Engineering at INF/UFG. His research interests include Computer Vision, Human Computer Interaction, Machine Learning and Programming topics. He is the leader of the Pixellab group, which develops solutions for accesibilty, Precision Agriculture, and Interactive Systems.