felixber / cpachecker Goto Github PK
View Code? Open in Web Editor NEWThis project forked from sosy-lab/cpachecker
CPAchecker, the Configurable Software-Verification Platform
License: Other
This project forked from sosy-lab/cpachecker
CPAchecker, the Configurable Software-Verification Platform
License: Other
Getting Started with CPAchecker =============================== Installation Instructions: INSTALL.txt Develop and Contribute: doc/Developing.txt More details can be found in doc/*.txt Prepare Programs for Verification by CPAchecker ----------------------------------------------- All programs need to pre-processed with the C pre-processor, i.e., they may not contain #define and #include directives. You can enable pre-processing inside CPAchecker by specifying -preprocess on the command line. Multiple C files can be given and will be linked together and verified as a single program (experimental feature). CPAchecker is able to parse and analyze a large subset of (GNU)C. If parsing fails for your program, please send a report to [email protected]. Verifying a Program with CPAchecker ----------------------------------- 1. Choose a source code file that you want to be checked. If you use your own program, remember to pre-process it as mentioned above. Example: doc/examples/example.c A good source for more example programs is the benchmark set of the TACAS 2013 Competition on Software Verification (http://sv-comp.sosy-lab.org/), which can be checked out from https://svn.sosy-lab.org/software/sv-benchmarks/trunk. 2. If you want to enable certain analyses like predicate analysis, choose a configuration file. This file defines for example which CPAs are used. Standard configuration files can be found in the directory config/. Example: config/predicateAnalysis.properties The configuration of CPAchecker is explained in doc/Configuration.txt. 3. Choose a specification file (you may not need this for some CPAs). The standard configuration files use config/specification/default.spc as the default specification. With this one, CPAchecker will look for labels named "ERROR" (case insensitive) and assertions in the source code file. Other examples for specifications can be found in config/specification/ 4. Execute "scripts/cpa.sh [ -config <CONFIG_FILE> ] [ -spec <SPEC_FILE> ] <SOURCE_FILE>" Either a configuration file or a specification file needs to be given. The current directory should be the CPAchecker project directory. Additional command line switches are described in doc/Configuration.txt. Example: scripts/cpa.sh -config config/predicateAnalysis.properties doc/examples/example.c This example can also be abbreviated to: scripts/cpa.sh -predicateAnalysis doc/examples/example.c A Java 1.7 compatible JVM is necessary. If it is not in your PATH, you need to specify it in the environment variable JAVA. Example: export JAVA=/usr/lib/jvm/java-7-openjdk-amd64/jre/bin/java for 64bit OpenJDK 7 on Ubuntu. On Windows (witout Cygwin), you need to use cpa.bat instead of cpa.sh (would work within a Cygwin environment). Please take note that not all analysis configurations are available for Windows; one reason for this is that not all solvers (and other native libraries that are used for specific abstract domains) are available for Windows. 5. Additionally to the console output, there will be several files in the directory output/: ARG.dot: Visualization of abstract reachability tree (Graphviz format) cfa*.dot: Visualization of control flow automaton (Graphviz format) reached.dot: Visualization of control flow automaton with the abstract states visualized on top (Graphviz format) counterexample.msat: Formula representation of the error path coverage.info: Coverage information (similar to those of testing tools) in Gcov format Use the following command line to generate an HTML report as output/index.html: genhtml output/coverage.info --output-directory output --legend ErrorPath.*.txt: A path through the program that leads to an error ErrorPath.*.assignment.txt: Assignments for all variables on the error path. predmap.txt: Predicates used by predicate analysis to prove program safety reached.txt: Dump of all reached abstract states Statistics.txt: Time statistics (can also be printed to console with "-stats") Note that not all of these files will be available for all configurations. Also some of these files are only produced if an error is found (or vice-versa). CPAchecker will overwrite files in this directory! A graphical report which can be viewed in a browser can be generated from these files by running scripts/report-generator.py (Cf. doc/BuildReport.txt).
A declarative, efficient, and flexible JavaScript library for building user interfaces.
๐ Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. ๐๐๐
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google โค๏ธ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.