Predictable Assembly of Substation Automation Systems: An Experiment Report, Second Edition
• Technical Report
Publisher
Software Engineering Institute
CMU/SEI Report Number
CMU/SEI-2002-TR-031DOI (Digital Object Identifier)
10.1184/R1/6582098.v1Abstract
The Predictable Assembly from Certifiable Components (PACC) Initiative at the Software Engineering Institute (SEI) is developing methods and technologies for predictable assembly. A software development activity that builds systems from components is predictable if the runtime behavior of an assembly of components can be predicted from known properties of components and their patterns of interactions (connections), and if these predictions can be objectively validated. A component is certifiable if these known properties can be obtained or validated by independent third parties. The SEI's technical approach to PACC rests on prediction-enabled component technology (PECT). At the highest level, PECT is a scheme for systematic and repeatable integration of software component technology, software architecture technology, and design analysis and verification technology. This report describes the results of an exploratory PECT prototype for substation automation, an application area in the domain of power generation, transmission, and management. This report focuses primarily on the methodological aspects of PECT; the prototype itself was only a means to expose and illustrate the PECT method.
Cite This Technical Report
Hissam, S., Hudak, J., Ivers, J., Klein, M., Larsson, M., Moreno, G., Northrop, L., Plakosh, D., Stafford, J., Wallnau, K., & Wood, W. (2003, September 1). Predictable Assembly of Substation Automation Systems: An Experiment Report, Second Edition. (Technical Report CMU/SEI-2002-TR-031). Retrieved December 4, 2024, from https://doi.org/10.1184/R1/6582098.v1.
@techreport{hissam_2003,
author={Hissam, Scott and Hudak, John and Ivers, James and Klein, Mark and Larsson, Magnus and Moreno, Gabriel and Northrop, Linda and Plakosh, Daniel and Stafford, Judith and Wallnau, Kurt and Wood, William},
title={Predictable Assembly of Substation Automation Systems: An Experiment Report, Second Edition},
month={{Sep},
year={{2003},
number={{CMU/SEI-2002-TR-031},
howpublished={Carnegie Mellon University, Software Engineering Institute's Digital Library},
url={https://doi.org/10.1184/R1/6582098.v1},
note={Accessed: 2024-Dec-4}
}
Hissam, Scott, John Hudak, James Ivers, Mark Klein, Magnus Larsson, Gabriel Moreno, Linda Northrop, Daniel Plakosh, Judith Stafford, Kurt Wallnau, and William Wood. "Predictable Assembly of Substation Automation Systems: An Experiment Report, Second Edition." (CMU/SEI-2002-TR-031). Carnegie Mellon University, Software Engineering Institute's Digital Library. Software Engineering Institute, September 1, 2003. https://doi.org/10.1184/R1/6582098.v1.
S. Hissam, J. Hudak, J. Ivers, M. Klein, M. Larsson, G. Moreno, L. Northrop, D. Plakosh, J. Stafford, K. Wallnau, and W. Wood, "Predictable Assembly of Substation Automation Systems: An Experiment Report, Second Edition," Carnegie Mellon University, Software Engineering Institute's Digital Library. Software Engineering Institute, Technical Report CMU/SEI-2002-TR-031, 1-Sep-2003 [Online]. Available: https://doi.org/10.1184/R1/6582098.v1. [Accessed: 4-Dec-2024].
Hissam, Scott, John Hudak, James Ivers, Mark Klein, Magnus Larsson, Gabriel Moreno, Linda Northrop, Daniel Plakosh, Judith Stafford, Kurt Wallnau, and William Wood. "Predictable Assembly of Substation Automation Systems: An Experiment Report, Second Edition." (Technical Report CMU/SEI-2002-TR-031). Carnegie Mellon University, Software Engineering Institute's Digital Library, Software Engineering Institute, 1 Sep. 2003. https://doi.org/10.1184/R1/6582098.v1. Accessed 4 Dec. 2024.
Hissam, Scott; Hudak, John; Ivers, James; Klein, Mark; Larsson, Magnus; Moreno, Gabriel; Northrop, Linda; Plakosh, Daniel; Stafford, Judith; Wallnau, Kurt; & Wood, William. Predictable Assembly of Substation Automation Systems: An Experiment Report, Second Edition. CMU/SEI-2002-TR-031. Software Engineering Institute. 2003. https://doi.org/10.1184/R1/6582098.v1