Software integrity is an indicator of risk created by software defects. Software integrity risk gauges the potential of a software defect altering the expected behavior, safety, performance or security of products and services operated by software. The complexity of modern electronic products creates integrity risk due to the integrations between software from multiple components and systems originating from different vendors and partners. Comprehensively analyzing the trillions of possible paths to defects between these third-party software components is difficult.
Addressing the issue of software integrity, Coverity has announced the Coverity Software Integrity Rating program which provides an objective standard to measure the integrity of software and reveal defects in software from third-party suppliers.
The Coverity Software Integrity Rating program helps companies to create a common "apples to apples" measurement of software risk across their entire software supply chain. The ratings are based on an assessment of the potential impact of defects, type of defects, total number of defects, total number of defects per thousand lines of code (defect density), correct use of Coverity products, and analysis accuracy.
Coverity also says that this rating program will help companies promote the success of development teams that consistently deliver highly rated software code and products. Development teams can also use Coverity Software Integrity Ratings as objective evidence to support requirements for quality and safety standards.
"The integrity of your software has a direct impact on the integrity of your brand," said Coverity'sDave Peterson. "Businesses are at risk because there is no easy way to objectively measure the risk of software defects in the products they are shipping or the software they are integrating from third-party suppliers. Companies displaying the Coverity Integrity Seal demonstrate that they are committed to delivering products that are safe, secure and will behave as planned under the most unpredictable conditions."
Join Coverity and ip.access for a Dr. Dobb's webinar on software complexity and automated source code analysis on April 21. To register, visit: http://bit.ly/bSdEBr.
