Entries Tagged as 'Architecture '

The Importance of Automated Testing in Open Systems Architecture Initiatives

Architecture , Automated Testing , Common Operating Platform Environments (COPEs) , Open Systems Architectures No Comments »

To view a video of this blog post in its entirety, please click here.

By Douglas C. Schmidt
Principal Researcher

Douglas C. Schmidt To view a video of the introduction, please click here.

The Better Buying Power 2.0 initiative is a concerted effort by the United States Department of Defense to achieve greater efficiencies in the development, sustainment, and recompetition of major defense acquisition programs through cost control, elimination of unproductive processes and bureaucracy, and promotion of open competition. This SEI blog posting describes how the Navy is operationalizing Better Buying Power in the context of their Open Systems Architecture and Business Innovation initiatives.  This posting also presents the results from a recent online war game that underscore the importance of automated testing in these initiatives to help avoid common traps and pitfalls of earlier cost containment measures.

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Using Quality Attributes as a Means to Improve Acquisition Strategies

Acquisition , Architecture No Comments »

By Lisa Brownsword,
Senior Members of the Technical Staff

Lisa BrownswordAlthough software is increasingly important to the success of government programs, there is often little consideration given to its impact on early key program decisions. The Carnegie Mellon University Software Engineering Institute (SEI) is conducting a multi-phase research initiative aimed at answering the question: is the probability of a program’s success improved through deliberately producing a program acquisition strategy and software architecture that are mutually constrained and aligned? Moreover, can we develop a method that helps government program offices produce such alignment? This blog post, the third in a series on this multi-year research, describes our approach to determining how acquisition quality attributes can be expressed and used to facilitate alignment among the software architecture and acquisition strategy.

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The Latest Research from the SEI

Architecture , Cloud Computing , Insider Threat , System of Systems , Team Software Process (TSP) No Comments »

By Douglas C. Schmidt
Principal Researcher

Douglas C. SchmidtAs part of an ongoing effort to keep you informed about our latest work, I would like to let you know about some recently published SEI technical reports and notes. These reports highlight the latest work of SEI technologists in systems of systems integration from an architectural perspective, unintentional insider threat that derives from social engineering, identifying physical security gaps in international mail processing centers and similar facilities, countermeasures used by cloud service providers, the Team Software Process (TSP), and key automation and analysis techniques. This post includes a listing of each report, author(s), and links where the published reports can be accessed on the SEI website. 

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Security Pattern Assurance through Round-trip Engineering

Architecture No Comments »

By Rick Kazman
Senior Member of the Technical Staff
Software Solutions Division

Rick KazmanThe process of designing and analyzing software architectures is complex. Architectural design is a minimally constrained search through a vast multi-dimensional space of possibilities. The end result is that architects are seldom confident that they have done the job optimally, or even satisfactorily. Over the past two decades, practitioners and researchers have used architectural patterns to expedite sound software design. Architectural patterns are prepackaged chunks of design that provide proven structural solutions for achieving particular software system quality attributes, such as scalability or modifiability. While use of patterns has simplified the architectural design process somewhat, key challenges remain. This blog explores these challenges and our solutions for achieving system security qualities through use of patterns.

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The Importance of Software Architecture in Big Data Systems

Architecture , Big Data 7 Comments »

By Ian Gorton
Senior Member of the Technical Staff
Software Solutions Division

Ian Gorton Many types of software systems, including big data applications, lend them themselves to highly incremental and iterative development approaches. In essence, system requirements are addressed in small batches, enabling the delivery of functional releases of the system at the end of every increment, typically once a month. The advantages of this approach are many and varied. Perhaps foremost is the fact that it constantly forces the validation of requirements and designs before too much progress is made in inappropriate directions.  Ambiguity and change in requirements, as well as uncertainty in design approaches, can be rapidly explored through working software systems, not simply models and documents. Necessary modifications can be carried out efficiently and cost-effectively through refactoring before code becomes too ‘baked’ and complex to easily change. This posting, the second in a series addressing the software engineering challenges of big data, explores how the nature of building highly scalable, long-lived big data applications influences iterative and incremental design approaches.

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