2019 Portland International Conference on Management of Engineering and Technology (PICMET)
Technology -- Management, Requirements engineering, Engineering systems -- Specifications, Intelligent systems, Systems theory
A substantial portion of project failures are due to poorly defined requirements before enough is known about pragmatic end-item product capability, technology maturity, or development strategy. Process models either start with requirements or are weakly structured to elicit and derive actual stakeholder needs and to establish incontrovertible requirements. Existing process models are used acceptably for systems but are wholly inadequate for system and system of systems requirements that involve interactions with humans at a personal level. Problems with products and services are notable when artificial intelligent systems are put into use. Rather than establishing a technology baseline then working up requirements to advance and then use technology, a set of contingent requirements are posed to be promoted and advanced through a vetting process. From the technology chosen, a requirement is methodically planned to devise a capability, characteristic, or condition as part of the first phase of that vetting. This paper introduces a new form of requirements, termed contingent requirements. A contingent requirement stipulates the conditions for it to be modified according to the way things in fact are (or will be). From scenarios developed systematically by applying the Rand-Stanford method, technology dependencies are postulated, analyzed, and evaluated. The aim for introducing contingent requirements into the lifecycle engineering of Artificial Intelligent Systems (AIS) recognizes that technology should be considered within domains of influences, context(s), and consequences when put into use. Linear, incremental process models do not test for unforeseen consequences. Intelligent systems built on contingent requirements explore those unforeseen consequences by formally test the Intelligent Systems in various environments to explore the risks of interactions with individuals and in communities.
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G. O. Langford and H. J. Migliore, "Contingent Requirements for Artifical Intelligent Systems Development," 2019 Portland International Conference on Management of Engineering and Technology (PICMET), Portland, OR, USA, 2019, pp. 1-9.1