Paper
4 August 2014 Using SysML for verification and validation planning on the Large Synoptic Survey Telescope (LSST)
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Abstract
This paper provides an overview of the tool, language, and methodology used for Verification and Validation Planning on the Large Synoptic Survey Telescope (LSST) Project. LSST has implemented a Model Based Systems Engineering (MBSE) approach as a means of defining all systems engineering planning and definition activities that have historically been captured in paper documents. Specifically, LSST has adopted the Systems Modeling Language (SysML) standard and is utilizing a software tool called Enterprise Architect, developed by Sparx Systems. Much of the historical use of SysML has focused on the early phases of the project life cycle. Our approach is to extend the advantages of MBSE into later stages of the construction project. This paper details the methodology employed to use the tool to document the verification planning phases, including the extension of the language to accommodate the project’s needs. The process includes defining the Verification Plan for each requirement, which in turn consists of a Verification Requirement, Success Criteria, Verification Method(s), Verification Level, and Verification Owner. Each Verification Method for each Requirement is defined as a Verification Activity and mapped into Verification Events, which are collections of activities that can be executed concurrently in an efficient and complementary way. Verification Event dependency and sequences are modeled using Activity Diagrams. The methodology employed also ties in to the Project Management Control System (PMCS), which utilizes Primavera P6 software, mapping each Verification Activity as a step in a planned activity. This approach leads to full traceability from initial Requirement to scheduled, costed, and resource loaded PMCS task-based activities, ensuring all requirements will be verified.
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Brian M. Selvy, Charles Claver, and George Angeli "Using SysML for verification and validation planning on the Large Synoptic Survey Telescope (LSST)", Proc. SPIE 9150, Modeling, Systems Engineering, and Project Management for Astronomy VI, 91500N (4 August 2014); https://doi.org/10.1117/12.2056773
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Cited by 6 scholarly publications.
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KEYWORDS
Large Synoptic Survey Telescope

Image quality

Systems modeling

Cameras

Systems engineering

Imaging systems

Image analysis

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