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3 Metrics for Full Systems Engineering Lifecycle Activities (MeFuSELA)
Author(s) -
Tugwell GC,
Holt JD,
Jobling CP,
Neill CJ
Publication year - 1999
Publication title -
incose international symposium
Language(s) - English
Resource type - Journals
ISSN - 2334-5837
DOI - 10.1002/j.2334-5837.1999.tb00291.x
Subject(s) - unified modeling language , system lifecycle , computer science , software engineering , suite , systems engineering , application lifecycle management , work (physics) , engineering , programming language , software , mechanical engineering , archaeology , history
Complexity is perhaps the single most cited cause of project failure. Complexity exists throughout the whole of the project lifecycle and is not always apparent until the project is running into difficulty. The aim of this paper is to present a suite of metrics that can be used to highlight complexity at all phases of the project lifecycle, rather than just after the system has been built. A basic assumption of the work is that all models for the system are represented using the industry standard Unified Modelling Language (UML).