What is it about?
This paper puts into context previous research from the authors in the topic of problem complexity. In particular, it shows the benefits of using various domains to structure research, in this case systems theory, complexity science, and systems engineering methods. The paper shows how by unveiling scientific foundations first to inform the development of methods, these achieve high levels of effectiveness.
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Why is it important?
A good problem formulation increases the chances of finding good solutions. Actually, in many cases a wrong problem formulations results in useless solutions. Therefore, we must increase our understanding of the dynamics of problem complexity, from theory to practice.
Perspectives
A key contribution of this paper is that it shows the benefits of using scientific foundations in the development of methods. Specifically, they enable generalization and limit the emergence of unexpected results due to underlying flaws. This is particularly relevant to systems engineering, where most of the methods lack rigorous scientific foundations.
Dr Alejandro Salado
Virginia Polytechnic Institute and State University
Read the Original
This page is a summary of: A Research on Measuring and Reducing Problem Complexity to Increase System Affordability: From Theory to Practice, Procedia Computer Science, January 2015, Elsevier,
DOI: 10.1016/j.procs.2015.03.037.
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