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1.6.3 A Quantitative Metric of System Development Complexity: Validation Results
Author(s) -
Thomas L. Dale,
Mog Robert A.
Publication year - 1998
Publication title -
incose international symposium
Language(s) - English
Resource type - Journals
ISSN - 2334-5837
DOI - 10.1002/j.2334-5837.1998.tb00104.x
Subject(s) - schedule , metric (unit) , computer science , relation (database) , risk analysis (engineering) , measure (data warehouse) , systems engineering , operations research , engineering , operations management , data mining , business , operating system
Each day, engineers cope with the challenges of building complex systems – challenges which place the project cost, schedule, and technical performance at risk. Can a measure of the inherent complexity of a system provide any insights regarding the risk to cost, schedule, and technical performance? Perhaps it can. This paper briefly reviews the development of a complexity metric and subsequently presents results from a validation assessment. These results indicate a significant relation between system complexity and program development cost.