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particularly concerned with guiding the systems engineering part in a stepwise way with
the goal of delivering a quality system that meets user needs. Traditionally, SE has been
extensively used to manage the engineering of highly complex systems such as those
used in aerospace, defense and security over the last decades [9, 10, 19, 28]. Often, these
projects were carried out by government agencies or large organisations and had strict
targets for time, cost and quality [5, 11]. There is also plenty of evidence in the literature
regarding the suitability of SE for effectively managing the engineering of complex
projects, reducing risks and creating successful systems [5, 7, 16, 18]. In a
comprehensive study by [17], it was established that common systems engineering
activities contribute towards overall success and technical quality.
However, SE has evolved considerably over the past two decades [27]. This has
spawned a number of standards and system life cycle process models such as linear, vee,
spiral, waterfall, agile and model based systems engineering. As a result, there is no
single model that is accepted worldwide that fits every possible situation [7, 27].
Fortunately, all life cycle models subdivide the system life into a set of basic steps that
separate major decision milestones. One such model is the generic life cycle model
proposed by [17]. It is representative of the majority of systems that are developed
including those containing significant software functionality at component level and is
based on the convergence on three major sources: the Department of Defence
Acquisition Model (DoD 5000.2), the International model ISO/IEC 15288 and the
National Society of Professional Engineers (NSPE) model. Hence, in this study we
adopted this generic lifecycle model as basis for our evaluation framework.
4. The proposed evaluation framework
The evaluation framework consists of three main stages as shown on Figure 1. The first
two stages cover the developmental part of the life cycle while the third the post
development period. The figure also shows the main inputs and outputs of each of the
stages: those above the blocks refer to specifications and documentation whereas those
below represent the evolution from concept to operational system.
Figure 1: Principle stages in the lifecycle [13]
Concept development stage is the initial stage in the lifecycle. In [17], the authors
attest that the decisions made during this stage determine the outcome of the project. The
Concept
Development Engineering
Development Postdevelopment
Technological
Opportunities Defined System
Concept(s) Production
System Installed
Operational
System
Operational
Deficiencies System Functional
Specifications System Production
specifications Operations and
Maintenance
Documentation
A.Santokheeetal. /TowardsaGeneralFramework forEvaluating IEs’Methodologies 19
Intelligent Environments 2019
Workshop Proceedings of the 15th International Conference on Intelligent Environments
- Title
- Intelligent Environments 2019
- Subtitle
- Workshop Proceedings of the 15th International Conference on Intelligent Environments
- Authors
- Andrés Muñoz
- Sofia Ouhbi
- Wolfgang Minker
- Loubna Echabbi
- Miguel Navarro-CĂa
- Publisher
- IOS Press BV
- Date
- 2019
- Language
- German
- License
- CC BY-NC 4.0
- ISBN
- 978-1-61499-983-6
- Size
- 16.0 x 24.0 cm
- Pages
- 416
- Category
- Tagungsbände