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A code quality analysis tool that uses static code analysis. RIPS: 2020-02-17 (3.4) No; proprietary — — Java — — — PHP A static code analysis solution with many integration options for the automated detection of complex security vulnerabilities. SAST Online: 2022-03-07 (1.1.0) No; proprietary — — Java — — — Kotlin, APK
MALPAS was used for the analysis of this software, apart from the Mission Computer software, which was written in Spark Ada and verified with the Spark Toolset. [7] MALPAS is currently being used to independently assess the software for the reactor protection system which will monitor the two nuclear reactors at Hinkley Point C. [8]
Pages in category "Static program analysis tools" The following 77 pages are in this category, out of 77 total. This list may not reflect recent changes. ...
A study in 2012 by VDC Research reported that 28.7% of the embedded software engineers surveyed use static analysis tools and 39.7% expect to use them within 2 years. [9] A study from 2010 found that 60% of the interviewed developers in European research projects made at least use of their basic IDE built-in static analyzers.
FxCop provides a tool to help developers to follow their company's coding standards. FxCop does code analysis to check whether the new code is compliant with the coding standards and naming conventions followed by the company. FxCop will ensure that the specified rules are used in the source code. [citation needed]
Infer, [1] sometimes referred to as "Facebook Infer", is a static code analysis tool developed by an engineering team at Facebook along with open-source contributors. It provides support for Java, C, C++, and Objective-C, and is deployed at Facebook in the analysis of its Android and iOS apps (including those for WhatsApp, Instagram, Messenger and the main Facebook app).
CodeSonar is a static code analysis tool from CodeSecure, Inc. CodeSonar is used to find and fix bugs and security vulnerabilities [1] in source and binary code. [2] [3] [4] It performs whole-program, inter-procedural analysis with abstract interpretation on C, C++, C#, Java, as well as x86 and ARM binary executables and libraries.
One of the most well known examples of data-flow analysis is taint checking, which consists of considering all variables that contain user-supplied data – which is considered "tainted", i.e. insecure – and preventing those variables from being used until they have been sanitized.