System Assurance
Beyond Detecting Vulnerabilities
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Due to frequent acquisitions and integrations, software systems are commonly a mix of multiple programming languages and platforms that use different content from different sources. As systems incorporate more software components of mixed origin, they become increasingly vulnerable to defects and subversion. Since each software component was developed differently, normalized analysis of overall system performance is problematic. System Assurance: Beyond Detecting Vulnerabilities uses the Object Management Groups OMG expertise and unique standards to obtain accurate knowledge about existing software and compose objective metrics to verify system assurance. OMGs KDM provides a common framework for discovering, integrating, analyzing, and distributing facts about existing enterprise software. Its semantics of business vocabularies and business rules (SBVR) creates universal business rules against which this information can be measured. Used together, KDM and SBVR provide the basis for a software assurance ecosystem.
System Assurance teaches students how to use Object Management Group's (OMG) expertise and unique standards to obtain accurate knowledge about existing software and compose objective metrics for system assurance.
OMG's Assurance Ecosystem provides a common framework for discovering, integrating, analyzing, and distributing facts about existing enterprise software. Its foundation is the standard protocol for exchanging system facts, defined as the OMG Knowledge Discovery Metamodel (KDM). In addition, the Semantics of Business Vocabularies and Business Rules (SBVR) defines a standard protocol for exchanging security policy rules and assurance patterns. Using these standards together, students will learn how to leverage the knowledge of the cybersecurity community and bring automation to protect systems.
This book includes an overview of OMG Software Assurance Ecosystem protocols that integrate risk, architecture, and code analysis guided by the assurance argument. A case study illustrates the steps of the System Assurance Methodology using automated tools.
This book is recommended for technologists from a broad range of software companies and related industries; security analysts, computer systems analysts, computer software engineers-systems software, computer software engineers- applications, computer and information systems managers, network systems and data communication analysts.
OMG's Assurance Ecosystem provides a common framework for discovering, integrating, analyzing, and distributing facts about existing enterprise software. Its foundation is the standard protocol for exchanging system facts, defined as the OMG Knowledge Discovery Metamodel (KDM). In addition, the Semantics of Business Vocabularies and Business Rules (SBVR) defines a standard protocol for exchanging security policy rules and assurance patterns. Using these standards together, students will learn how to leverage the knowledge of the cybersecurity community and bring automation to protect systems.
This book includes an overview of OMG Software Assurance Ecosystem protocols that integrate risk, architecture, and code analysis guided by the assurance argument. A case study illustrates the steps of the System Assurance Methodology using automated tools.
This book is recommended for technologists from a broad range of software companies and related industries; security analysts, computer systems analysts, computer software engineers-systems software, computer software engineers- applications, computer and information systems managers, network systems and data communication analysts.
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