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Estimation of Cost for Software using Dashboard Framework


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1 Department of Computer Science, University of Hong Kong, Hong Kong
     

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The popular parametric cost models in widespread use today allow size to be expressed as lines of code, function points, object-oriented metrics and other measures. Size of the software is provided in a number of available units, cost factors describe the overall environment and calibrations may take the form of coefficients adjusted for actual data or other types of factors that account for domain-specific attributes. The most frequently used models for estimating DoD software effort, cost and schedule is COCOMO I, COCOMO II, SLIM, etc. COCOMO is a public domain model that USC continually updates and is implemented in several commercial tools. SLIM is another parametric tool that uses a different approach to effort and schedule estimation. Dashboards are essential elements in the day to-day operation of modern enterprises, as they provide to the analysts the view of all the critical business metrics that reflect the performance of the business. In this paper, we claim that dashboard development can be fast and easy, while maintaining flexibility in the design, and without sacrificing versatility or performance. We propose a framework for dashboard design that is model-driven.


Keywords

Software Cost Estimation (SCE), Dashboard Framework, COCOMO I, COCOMO II, Source Line of Code (SLOC).
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  • Estimation of Cost for Software using Dashboard Framework

Abstract Views: 161  |  PDF Views: 1

Authors

A. Schoeman
Department of Computer Science, University of Hong Kong, Hong Kong
X. J. Temes
Department of Computer Science, University of Hong Kong, Hong Kong

Abstract


The popular parametric cost models in widespread use today allow size to be expressed as lines of code, function points, object-oriented metrics and other measures. Size of the software is provided in a number of available units, cost factors describe the overall environment and calibrations may take the form of coefficients adjusted for actual data or other types of factors that account for domain-specific attributes. The most frequently used models for estimating DoD software effort, cost and schedule is COCOMO I, COCOMO II, SLIM, etc. COCOMO is a public domain model that USC continually updates and is implemented in several commercial tools. SLIM is another parametric tool that uses a different approach to effort and schedule estimation. Dashboards are essential elements in the day to-day operation of modern enterprises, as they provide to the analysts the view of all the critical business metrics that reflect the performance of the business. In this paper, we claim that dashboard development can be fast and easy, while maintaining flexibility in the design, and without sacrificing versatility or performance. We propose a framework for dashboard design that is model-driven.


Keywords


Software Cost Estimation (SCE), Dashboard Framework, COCOMO I, COCOMO II, Source Line of Code (SLOC).