The Ability of Engineers to Extract Requirements from Models

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Authors
Giachetti, Ronald
Holness, Karen
McGuire, Mollie
Subjects
Advisors
Date of Issue
2018
Date
2018
Publisher
IEEE
Language
Abstract
The Department of Defense is adopting model-based systems engineering in which models will replace the extensive amounts of documentation generated in developing a new system. This research examines how this shift from textual description of requirements to a model-based description will effect the requirements engineering process. Specifically, we ask whether engineers will be able to extract the same understanding of the system requirements from the models as they can from the traditional textual requirements specifications. This paper describes the theory and related work on the understandability of models and the performance of cognitive tasks such as requirements engineering. Our research into model representation is part of a larger effort on a theory of model relativity postulating that models affect how we think about the system of interest. In this paper, we present our exploratory research studies, discuss our research protocol, describe the research plan, and present the current status of our study.
Type
Article
Description
The article of record as published may be found at http://dx.doi.org/10.1109/RE.2018.00-19
2018 IEEE 26th International Requirements Engineering Conference
Series/Report No
Department
Systems Engineering (SE)
Information Systems (IS)
Organization
Naval Postgraduate School (U.S.)
Identifiers
NPS Report Number
Sponsors
Funder
Format
6 P.
Citation
Giachetti, Ronald, Karen Holness, and Mollie McGuire. "The Ability of Engineers to Extract Requirements from Models." 2018 IEEE 26th International Requirements Engineering Conference (RE). IEEE, 2018.
Distribution Statement
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.