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Study On Method Of Software Development Workload Estimation

Posted on:2019-10-10Degree:MasterType:Thesis
Country:ChinaCandidate:L CuiFull Text:PDF
GTID:2428330566994500Subject:Industrial engineering
Abstract/Summary:PDF Full Text Request
In practice,companies lack the ability to develop software,so most software system is outsourced to developers.In the development process,companies can't manage the development process very well.Third-party management companies came into being to help companies manage the software development process and control the cost,and development quality.We start from the perspective of a third-party management company and study the software development workload estimation method which can apply to the project management process.Through the research of the estimation method,it is found that the method with high estimation accuracy requires the development of specific data as input,and the estimation process is cumbersome.Those method are more suitable for developers.For the third-party companies,the current estimation methods cannot achieve good prediction accuracy.Therefore,through the summary of various estimation methods,this paper establishes a prediction method applicable to third-party management companies: use FPA method to estimate the project scale based on WBS decomposition.And then use the COCOMO II model estimate workload.Finally using expert method to optimize the estimation process.At the same time,this thesis takes A company's human resources system as an example,using this estimation method to estimate software development workload.The workload of HR system has been significantly reduced from the previous estimate.It demonstrate the method is effective and operational.In addition,at the end of this thesis,a series of management measures for the third-party management company are proposed.In combination with the use of estimation methods,the workload will be better controlled in the project management process.
Keywords/Search Tags:Workload estimation, project management, functional point analysis, COCOMOII model
PDF Full Text Request
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