2026-09-19T02:20:13Zhttps://dspace.mit.edu/server/oai/request

oai:dspace.mit.edu:1721.1/178362022-01-13T07:54:11Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023

Charles P. Coleman. Voightmann, Michael P. (Michael Paul), 1979- Massachusetts Institute of Technology. Dept. of Aeronautics and Astronautics. Massachusetts Institute of Technology. Department of Aeronautics and Astronautics 2005-06-02T18:51:57Z 2005-06-02T18:51:57Z 2004 2004 http://hdl.handle.net/1721.1/17836 56570658 Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2004. Includes bibliographical references (leaves 70-74). An approach utilizing cognitive support tools is presented with the purpose of improving upon the generation of quality software requirement specifications. Based on successful tools in product development and cognitive engineering, the framework suggests how to improve upon user comprehension by the creation of decision support tools. These tools can facilitate the construction of a well-structured system map, incorporating key cognitive aspects, as well as identifying hidden requirements. Minimizing the requirements errors early in the process can have a tremendous impact on the success of the project. Current practices have been unable to improve upon the large failure rate of software systems. They generally lack the structure that cognitive support tools can provide. In order to assess the proposed approach, an overview of the current state of software requirements practice is provided. Key product development and cognitive support approaches were then analyzed. The proposed approach is described, followed by suggestions for future tools that could have a great impact on requirements engineering. Finally, the proposed approach is evaluated by applying it to an automotive application: adaptive cruise control. by Michael P. Voightmann. S.M. 74 leaves 3834984 bytes 3841274 bytes application/pdf application/pdf eng Massachusetts Institute of Technology M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 Aeronautics and Astronautics. Generating quality software specifications for decision support : a novel approach Thesis application/pdf false Publication unknown unknown <Publication xmlns="https://www.openaire.eu/cerif-profile/1.1/" id="d2311812-e3bc-493f-9356-7691d96b260a"> <Type xmlns="https://www.openaire.eu/cerif-profile/vocab/COAR_Publication_Types">http://purl.org/coar/resource_type/c_1843</Type> <Language>eng</Language> <Title>Generating quality software specifications for decision support : a novel approach</Title> <PublishedIn> <Publication> </Publication> </PublishedIn> <PublicationDate>2004</PublicationDate> <Authors> <Author> <DisplayName>Voightmann, Michael P. (Michael Paul), 1979-</DisplayName> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> </Authors> <Editors> </Editors> <Publishers> <Publisher> <DisplayName>Massachusetts Institute of Technology</DisplayName> <OrgUnit /> </Publisher> </Publishers> <License>http://dspace.mit.edu/handle/1721.1/7582</License> <Keyword>Aeronautics and Astronautics.</Keyword> <Abstract>An approach utilizing cognitive support tools is presented with the purpose of improving upon the generation of quality software requirement specifications. Based on successful tools in product development and cognitive engineering, the framework suggests how to improve upon user comprehension by the creation of decision support tools. These tools can facilitate the construction of a well-structured system map, incorporating key cognitive aspects, as well as identifying hidden requirements. Minimizing the requirements errors early in the process can have a tremendous impact on the success of the project. Current practices have been unable to improve upon the large failure rate of software systems. They generally lack the structure that cognitive support tools can provide. In order to assess the proposed approach, an overview of the current state of software requirements practice is provided. Key product development and cognitive support approaches were then analyzed. The proposed approach is described, followed by suggestions for future tools that could have a great impact on requirements engineering. Finally, the proposed approach is evaluated by applying it to an automotive application: adaptive cruise control.</Abstract> <Access xmlns="http://purl.org/coar/access_right" > </Access> </Publication>