A Research on Measuring and Reducing Problem Complexity to Increase System Affordability: From Theory to Practice

Abstract

Requirement engineering is the cornerstone of systems engineering. Numerous large scale engineered systems face schedule delays, cost overruns and performance shortfalls that can be traced back to the requirements they need to fulfill. In fact, previous research has demonstrated strong relationship between requirements and systems affordability. This paper summarizes and puts into context the authors' novel contributions in three domains of requirements engineering: systems theory, complexity science, and systems methodologies. The authors propose new theorems and their proofs on requirements affecting affordability, propose a new complexity metric at requirement stage that measures the complexity limit of the system at conceptual stage (even before a specific design is determined), and propose two methodologies to elicit excess-free requirement sets and to identify conflicting requirements more effectively. The paper showcases the value of structuring a research in such a manner, i.e. from theory to practice, enabling strengthening the bounds between theorists and practitioners.

A mathematical model of verification strategies

“…The field of systems engineering has experienced a recent push for unveiling its scientific foundations . Past research efforts focused on mathematically describing systems and systems engineering, while current research explores the intersection of theories in diverse domains to further advance the field of systems engineering .…”