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dc.contributorMulti-disciplinary Studiesen_US
dc.contributorDepartment of Computingen_US
dc.creatorLam, Hoi-hing-
dc.identifier.urihttps://theses.lib.polyu.edu.hk/handle/200/4832-
dc.languageEnglishen_US
dc.publisherHong Kong Polytechnic University-
dc.rightsAll rights reserveden_US
dc.titleThe economics of software maintenance cost model for software maintenanceen_US
dcterms.abstractWhile realized that almost two-third of all life-cycle costs are spent in the Operations and Maintenance phase of the software life cycle, it is worth to develop a cost estimation model tailored for the software maintenance. Current cost estimation models are reviewed and their applicability in software maintenance are examined. COCOMO 2.0, to be one of algorithmic cost estimation models best document, is selected to be the basis for the proposed new model SMA-COCOMO. Though the software maintenance environment is very similar to the development one, SMA-COCOMO has taken the specific characteristics of maintenance environment into account - there is very little functional requirements changes, relatively much stable platform environment and single maintenance center. SMA-COCOMO drops the source size adjustment factor of breakage percentage, and the two multiplicative cost drivers 'platform volatility' and 'multi-site development' while adding two cost drivers 'network constraint' and 'business experience' to captures the latest software technology trends. In SMA-COCOMO, there are relationships established from the rating of three cost drivers, 'platform experience', 'language and tool experience' and 'application experience' to other cost drivers. Two data groups, 'COCOMO Maintenance Project Database' and 'Y2K Problem Fixing Costs', are used to evaluate the SMA-COCOMO. Though it failed to prove that better cost estimation for software maintenance projects can be provided by SMA-COCOMO, SMA-COCOMO provides a useful framework which provides better view on the software maintenance and it acts as a base for further study on software maintenance. However, the usefulness of SMA-COCOMO is depended on further calibration of the different cost drivers' effort multiplier and this will rely heavily on the size and quality of the maintenance project database.en_US
dcterms.extentiv, 87 leaves : ill. ; 31 cmen_US
dcterms.isPartOfPolyU Electronic Thesesen_US
dcterms.issued2000en_US
dcterms.educationalLevelAll Masteren_US
dcterms.educationalLevelM.Sc.en_US
dcterms.LCSHSoftware maintenanceen_US
dcterms.LCSHHong Kong Polytechnic University -- Dissertationsen_US
dcterms.accessRightsrestricted accessen_US

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Please use this identifier to cite or link to this item: https://theses.lib.polyu.edu.hk/handle/200/4832