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Ensuring Software Integrity
As software systems become more pervasive and more critical to the daily needs of businesses and individuals, it’s important that development organizations take steps to ensure that their software code is secure, performs as intended, and does not fail. To meet this goal, hundreds of development organizations around the world rely on Coverity products to find and fix software defects. Sophisticated technology from Coverity allows development teams to deliver superior-quality code, improve development processes and speed time-to-market for critical software systems.
Coverity Integrity Control
Coverity Integrity Control provides executive level visibility into the risk of your project and enables organizations to consistently measure and manage internal and offshore development teams, and third party suppliers. Almost all organizations are using some form of third party code to gain advantage but that code often isn’t treated with the same level of rigor. Coverity Integrity Control gives you the necessary visibility into the quality and security of the code for establishing and enforcing service level agreements.
Coverity Prevent™ Static Analysis
Coverity Prevent for C/C++, Coverity Prevent for C#, and Coverity Prevent for Java are the foundation of Coverity’s leading automated approach to identifying and resolving the most critical defects in C, C++, C# and Java source code. By providing the deepest possible visibility into your code, sophisticated analysis, and a sharp focus on the needs of development organizations, Prevent sets the standard for enabling the delivery of high-quality software.
Coverity Architecture Analyzer
Coverity Architecture Analyzer for C/C++ and Coverity Architecture Analyzer for Java automatically visualize architectural structure, complexity and dependencies in large, C/C++ and Java codebases. Architecture Analyzer leverages Coverity’s Software DNA Map™ analysis system to provide a complete understanding of your software. It provides the comprehensive structural data development teams need to regain control of code bases, improve code quality, and lower the cost of ownership.
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