Abstract
This chapter's author based his years long cross-functional research on an authentic and proprietary mixed research method that is supported by his own version of an intelligent neural networks, which is combined with an internal heuristics motor; altogether named the applied holistic mathematical model (AHMM), which is applied to requirements engineering strategy. The proposed AHMM fundamentally functions like the human empiric decision-making process that can be compared to the behaviour-driven development methods, which are optimal for requirements engineering. In this chapter, the AHMM is supported by many real-life cases of business and architecture transformation projects requirements' management, abstracted by the intelligent strategic requirements development (iSRDev) concept that is supported by the alignment of various existing standards and development strategies, like the development and operations (DevOps) procedures to map to the project's requirements.
TopBackground
This chapter’s background combines Requirements Engineering (RE), development strategy, Knowledge Management (KM), standard DevOps, enterprise architecture, heuristics/mathematical models, technology management, business transformation and business engineering fields; using mapping mechanisms (Ebert, Gallardo, Hernantes, & Serrano, 2016). Building an iSRDev structures the mapping for intelligent Strategic Decision Making System’s (iSDMS) execution (Trad & Kalpić, 2019h, 2019i) that is today the major strategic goals for the transformed business companies (Cearley, Walker, & Burke, 2016; Thomas, 2015), as shown in Figure 1. The proposed iSRDev is a generic and cross-business RE concept that interacts with a reasoning methods which manage sets of factors that can be used by a business transformation or enterprise architectures projects (or simply the Project) in domains related to requirements based development (Uhl, & Gollenia, 2012); where in this chapter is supported by an adapted insurance case (Jonkers, Band & Quartel, 2012a). The author based his research method on intelligent neural networks and behaviour-driven development, where both methods resemble to the human brain (empirical) processing. This chapter on decision making is a continuation of many years of Research and Development Project (RDP) on various Project processes using decision systems and requirement management systems (Trad, 2020a; Trad & Kalpić, 2019c, 2019d). The iSRDev concept is business driven and is agnostic to a specific environment, as shown in Figure 1. It is founded on a genuine research framework that in turn is based on many existing industry standards, like the Architecture Development Method (ADM) (The Open Group, 2011a, 2011b).
Figure 1. (Cearley, Walker, & Burke, 2016). Key Terms in this Chapter
RQ: Research question.
Manager: Business transformation manager.
EAP: Enterprise architecture project.
EA: Enterprise architecture.
KM: Knowledge management.
CSA: Critical success area.
DMS: Decision-making system.
Project: Business transformation project.
TOGAF: The Open Group’s architecture framework.
ICs: Information and communication system.
BTP: Business transformation project.
ADM: Architecture development method.
TRADf: Is this research’s framework.