What is it about?
This paper provides mathematical indications that the size of the solution space is related to the probability of developing affordable systems. In particular, the bigger the size of the solution space, the more chances to find affordable solutions. It also provides mathematical indications of why adapting priorities to needs result in higher levels of system affordability.
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Why is it important?
This paper sets ground to provide mathematical foundations to bring systems engineering heuristic to axiomatic level.
Perspectives
This paper is a firs in a series that tries to understand from a rigorous, fundamental standpoint how problem formulation affects the probability of developing affordable systems successfully. This is key to developing a theory of systems engineering and unveiling its scientific foundations.
Dr Alejandro Salado
Virginia Polytechnic Institute and State University
Read the Original
This page is a summary of: Increasing the Probability of Developing Affordable Systems by Maximizing and Adapting the Solution Space, Procedia Computer Science, January 2014, Elsevier,
DOI: 10.1016/j.procs.2014.03.067.
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