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Cost estimation methods for software engineering

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dc.contributor.advisor Pretorius, L., Prof. en_US
dc.contributor.author Ladeira, Andre
dc.date.accessioned 2012-03-05T07:22:51Z
dc.date.available 2012-03-05T07:22:51Z
dc.date.issued 2012-03-05
dc.date.submitted 2002
dc.identifier.uri http://hdl.handle.net/10210/4500
dc.description M.Eng. (Engineering Management). en_US
dc.description.abstract This dissertation summarizes several classes of software cost estimation models and techniques. Experience to date indicates that expertise-based techniques are less mature than the other classes of techniques (algorithmic models), but that all classes of techniques are challenged by the rapid pace of change in software technology. The primary conclusion is that no single technique is best for all situations, and that a careful comparison of the results of several approaches is most likely to produce realistic estimates. As more pressure on accurate cost estimation increase, research attention is now directed at gaining a better understanding of the software-engineering process as wall as constructing and evaluating software cost estimation tools. This dissertation evaluated four of the most popular algorithmic models used to estimate software cost (SLIM, COCOMO II, Function points and SLOC) This dissertation also provides an overview of the baseline cost estimation model tailored to these new forms of software engineering. The major new modeling capabilities are an adaptable family of software sizing models, involving Function Points and Source Lines of Code. These models are serving as a framework for an extensive current data collection and analysis effort to further refine and calibrate the model's estimation capabilities. en_US
dc.language.iso en en_US
dc.subject Software engineering en_US
dc.subject Computer software en_US
dc.subject Cost estimates en_US
dc.title Cost estimation methods for software engineering en_US
dc.type Mini-Dissertation en_US

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