Внутрипроцедурный анализ для поиска ошибок на основе символьного выполнения

Abstract

Svace is a static analysis tool for bug detection in C/C++/Java source code. To analyze a program, Svace performs an intra-procedure analysis of individual functions, starting from the leaves of a call-graph and moving towards the roots, and uses summaries of previously analyzed procedures at call-cites. In this paper, we overview the approaches and techniques employed by Svace for the intra-procedural analysis. This phase is performed by an analyzer engine and an extensible set of detectors. The core engine employs a symbolic execution approach with state merging. It uses value numbering to reduce the set of symbolic expressions, maintains points-to relationship graph for memory modeling, and performs strong and weak updates of program values. Detectors are responsible for discovering and reporting bugs. They calculate different properties of program values using a variety of abstract domains. All detectors work simultaneously orchestrated by the engine. Svace analysis is unsound and employs a variety of heuristics to speed-up. We designed Svace to analyze big projects (several MLOCs) in just a few hours and report as many warnings as possible, while keeping a good quality of reports ≥ 65 of true positives). For example, Tizen 5.5 (20MLOC) analysis takes 8.6 hours and produces 18,920 warnings, more than 70% of which are true-positive.