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dc.contributor.advisorAbdel-Hamid, Tarek K.
dc.contributor.authorAgan, Christopher E.
dc.dateMarch 1990
dc.date.accessioned2013-04-11T22:14:56Z
dc.date.available2013-04-11T22:14:56Z
dc.date.issued1990-03
dc.identifier.urihttp://hdl.handle.net/10945/30670
dc.descriptionApproved for public release, distribution is unlimiteden_US
dc.description.abstractThe allocation of effort to quality assurance and testing is vitally important to the successful development and maintenance of a software system. There is no quantitative method for finding the right allocation policy. The most common methods include allocating fixed percentage of effort for all software projects or using allocations that have been used for similar projects in the past. The benefits of choosing the correct manpower allocation to suit a particular project can be substantial. Using the System Dynamics Model of Software Project Management an optimal quality assurance and testing level for project's development lifecycle can be found. The focus of this thesis is to design an expert system that can be coupled with the model in order to find the optimal allocation of quality assurance and testing effort for a particular project. Two expert system modules were developed, that when coupled with the system dynamics model, will find optimum quality assurance and testing distributions for a software project. The expert system modules were then used to perform sensitivity analysis experiments on the results.en_US
dc.description.urihttp://archive.org/details/couplingrtificia1094530670
dc.format.extentvi, 159 p.en_US
dc.language.isoen_US
dc.publisherMonterey, California. Naval Postgraduate Schoolen_US
dc.rightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. As such, it is in the public domain, and under the provisions of Title 17, United States Code, Section 105, may not be copyrighted.en_US
dc.subject.lcshCyberneticsen_US
dc.subject.lcshArtificial intelligenceen_US
dc.subject.lcshSoftware engineering.en_US
dc.titleCoupling artificial intelligence and a system dynamics simulation to optimize quality assurance and testing in software developmenten_US
dc.typeThesisen_US
dc.contributor.secondreaderBui, Tung
dc.contributor.corporateNaval Postgraduate School (U.S.)
dc.contributor.departmentDeoartment of Administrative Sciences
dc.subject.authorArtificial intelligenceen_US
dc.subject.authorexpert systemsen_US
dc.subject.authorproject managementen_US
dc.subject.authorquality assuranceen_US
dc.subject.authortestingen_US
dc.subject.authorsimulation.en_US
dc.description.serviceLieutenant, United States Navyen_US
etd.thesisdegree.nameM.S. in Information Systemsen_US
etd.thesisdegree.levelMastersen_US
etd.thesisdegree.disciplineInformation Systemsen_US
etd.thesisdegree.grantorNaval Postgraduate Schoolen_US


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