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Nominal group methods for reaching consensus on complex problems were used to transform requirements data obtained from international experts into an implementation protocol.
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One of the responsibilities of requirements engineering is to transform stakeholder requirements into system and software requirements.
The whole design flow of software engineering is semi-automatic; specifying quality requirements, transforming quality requirements to architecture design, representing quality properties in architectural models, predicting quality fulfilment from architectural models, and finally, measuring quality aspects from implemented source code.
Implementing a MAS architecture can benefit from a specific requirement analysis approaches to transform the requirements into appropriate models that can then be used to derive a MAS.
How to transform Functional Requirements (FRs) into Design Parameters (DPs) plays a key role in using the Axiomatic Design (AD) theory.
This chapter focuses on the control system design process, in which, the first step is to transform the requirements into a physical system, followed by the translation of a qualitative description of the system into a functional block diagram that describes the component parts of the system.
Such generic architectural descriptions follow a strict modular approach using independent and self-contained functional blocks, in order to comply with the scalability and multi-transform requirements of the architecture.
The process of design and development is the set of processes that transforms requirements, generally defined in a Money Document, into a working trading/investment system and this include ongoing position and risk management.
The first phase of the QFD is the house of quality (HOQ) which transforms customer requirements into product design requirements.
The simulation needs are transformed into requirements that drive the model development.
Software and hardware design transforms the requirements into the technologically feasible solutions and selecting optimal architectures.
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