Software engineering practices for control system reliability

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This paper will discuss software engineering practices used to improve Control System reliability. The authors begin with a brief discussion of the Software Engineering Institute's Capability Maturity Model (CMM) which is a framework for evaluating and improving key practices used to enhance software development and maintenance capabilities. The software engineering processes developed and used by the Controls Group at the Thomas Jefferson National Accelerator Facility (Jefferson Lab), using the Experimental Physics and Industrial Control System (EPICS) for accelerator control, are described. Examples are given of how their procedures have been used to minimized control system downtime and improve reliability. While ... continued below

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478 Kilobytes pages

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Schaffner, S. K. & White, K. S April 1, 1999.

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Description

This paper will discuss software engineering practices used to improve Control System reliability. The authors begin with a brief discussion of the Software Engineering Institute's Capability Maturity Model (CMM) which is a framework for evaluating and improving key practices used to enhance software development and maintenance capabilities. The software engineering processes developed and used by the Controls Group at the Thomas Jefferson National Accelerator Facility (Jefferson Lab), using the Experimental Physics and Industrial Control System (EPICS) for accelerator control, are described. Examples are given of how their procedures have been used to minimized control system downtime and improve reliability. While their examples are primarily drawn from their experience with EPICS, these practices are equally applicable to any control system. Specific issues addressed include resource allocation, developing reliable software lifecycle processes and risk management.

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478 Kilobytes pages

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  • 1999 Particle Accelerator Conference, New York, NY (US), 03/29/1999--04/02/1999

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  • Report No.: DOE/ER/40150-1398
  • Report No.: JLAB-ACE-99-06
  • Grant Number: AC05-84ER40150
  • Office of Scientific & Technical Information Report Number: 754679
  • Archival Resource Key: ark:/67531/metadc702643

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Office of Scientific & Technical Information Technical Reports

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  • April 1, 1999

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  • Sept. 12, 2015, 6:31 a.m.

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  • Feb. 5, 2016, 8:31 p.m.

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Schaffner, S. K. & White, K. S. Software engineering practices for control system reliability, article, April 1, 1999; Newport News, Virginia. (digital.library.unt.edu/ark:/67531/metadc702643/: accessed May 22, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.