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dc.contributor.advisorDov Dori.en_US
dc.contributor.authorQuezada Gomez, Juan Manuelen_US
dc.contributor.otherSystem Design and Management Program.en_US
dc.date.accessioned2015-12-16T16:35:37Z
dc.date.available2015-12-16T16:35:37Z
dc.date.copyright2015en_US
dc.date.issued2015en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/100383
dc.descriptionThesis: S.M. in Engineering and Management, Massachusetts Institute of Technology, Engineering Systems Division, System Design and Management Program, 2015.en_US
dc.descriptionCataloged from PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 96-98).en_US
dc.description.abstractThe automobile innovation transformed the human life style ever since its introduction to the public, and for over the last one hundred years incumbent technologies have been adopted to improve its performance characteristics. Yet, we need a holistic approach to understand that automobiles shifted from being a mere assembly of mechanical parts to a multidisciplinary system that form the modern automobile. Thanks to the increased use of electronics and software in automobiles, consumers benefit from better gas mileage, more amenities and features, such as comfort, driving assistance, and entertainment. At the same time, stability and performance of automobiles as systems have been facing deterioration, and eventually vehicle owners are finding that features and functions become inoperative over time, causing frustration, loss of time and money. Reports of problems experienced by vehicle owners have stem from casual factors of system defects that model-based systems engineering can reduce or eliminate. This research presents a model-based systems engineering approach to an automobile electronic system design. The work is founded on a comprehensive OPM model and engineering guidelines for electronic control module software design. The purpose of the framework developed in this study is to support development of complex vehicle software that allows flexibility for changing features and creating new ones, and enables software developers to pinpoint systemic faults quicker and at earlier lifecycle phases, reducing rework, increasing safety, and providing for more effective resolution of such problems.en_US
dc.description.statementofresponsibilityby Juan Manuel Quezada Gomez.en_US
dc.format.extent104 pagesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsM.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.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectEngineering Systems Division.en_US
dc.subjectSystem Design and Management Program.en_US
dc.titleModel-based guidelines for automotive electronic systems software developmenten_US
dc.typeThesisen_US
dc.description.degreeS.M. in Engineering and Managementen_US
dc.contributor.departmentSystem Design and Management Program.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Engineering Systems Division
dc.identifier.oclc932073230en_US


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