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Effort Estimation Model for Function Point Measurement

Software Cost Estimation is a practical process that is applied to find out basically the effort and development time requirements for a software product, which is going to be developed. The process starts with the planning phase activities and refined throughout the development. Various cost estima...

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Main Author: Koh, Tieng Wei
Format: Thesis
Language:English
English
Published: 2007
Online Access:http://psasir.upm.edu.my/id/eprint/451/1/1600479.pdf
http://psasir.upm.edu.my/id/eprint/451/
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spelling my.upm.eprints.4512013-05-27T06:48:27Z http://psasir.upm.edu.my/id/eprint/451/ Effort Estimation Model for Function Point Measurement Koh, Tieng Wei Software Cost Estimation is a practical process that is applied to find out basically the effort and development time requirements for a software product, which is going to be developed. The process starts with the planning phase activities and refined throughout the development. Various cost estimation models and methods are available to be used for software development process. The COCOMO, an algorithmic model is one example. Although it is hard to predict the exact size especially in terms of lines of code (LOC) of the project at the early stage, the COCOMO model takes LOC as an input to compute the project’s effort. Nowadays, software developers recognize the importance of the realistic estimates of effort to success management of software projects and having a realistic estimates at an early stage of a project life cycle which allow project managers and development organizations to manage resource effectively. This research work has generated an algorithmic effort estimation model for function points measurement. The function-point measurement metric, invented by Allan Albrecht of IBM in the middle of the 1970s was intended to help all the practitioners measure the size of a computerized business information system. Such sizes are needed as a component of a measurement of productivity in system development and maintenance activities and as a component of estimating the effort needed for such activities. Generally, most of the algorithmic models were generated based on historical projects, and therefore, the same methodology has been applied in this research work. The total of 2265 historical business information systems collected by International Software Benchmarking Standard Groups (ISBSG) has been used to generate and validate the model using statistical technique, known as linear regression analysis. We proposed that a project’s functionality in the terms of function points has an approximately linear relationship to the final effort computation. The investigation had carried out on between the functionality and final effort before the model was generated. Results show that there is an approximately linear relationship between the project’s functionality and final effort that is required in the development. On the other hand, the limits with 95% level of confidence have been attached together with the model to ensure that the actual effort always falls within the predicted boundary. However, we suggest that further investigation should be carried on for the technical complexity factors in function point analysis in order to increase the accuracy of the forecasted project’s effort. 2007-01 Thesis NonPeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/451/1/1600479.pdf Koh, Tieng Wei (2007) Effort Estimation Model for Function Point Measurement. Masters thesis, Universiti Putra Malaysia. English
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
English
description Software Cost Estimation is a practical process that is applied to find out basically the effort and development time requirements for a software product, which is going to be developed. The process starts with the planning phase activities and refined throughout the development. Various cost estimation models and methods are available to be used for software development process. The COCOMO, an algorithmic model is one example. Although it is hard to predict the exact size especially in terms of lines of code (LOC) of the project at the early stage, the COCOMO model takes LOC as an input to compute the project’s effort. Nowadays, software developers recognize the importance of the realistic estimates of effort to success management of software projects and having a realistic estimates at an early stage of a project life cycle which allow project managers and development organizations to manage resource effectively. This research work has generated an algorithmic effort estimation model for function points measurement. The function-point measurement metric, invented by Allan Albrecht of IBM in the middle of the 1970s was intended to help all the practitioners measure the size of a computerized business information system. Such sizes are needed as a component of a measurement of productivity in system development and maintenance activities and as a component of estimating the effort needed for such activities. Generally, most of the algorithmic models were generated based on historical projects, and therefore, the same methodology has been applied in this research work. The total of 2265 historical business information systems collected by International Software Benchmarking Standard Groups (ISBSG) has been used to generate and validate the model using statistical technique, known as linear regression analysis. We proposed that a project’s functionality in the terms of function points has an approximately linear relationship to the final effort computation. The investigation had carried out on between the functionality and final effort before the model was generated. Results show that there is an approximately linear relationship between the project’s functionality and final effort that is required in the development. On the other hand, the limits with 95% level of confidence have been attached together with the model to ensure that the actual effort always falls within the predicted boundary. However, we suggest that further investigation should be carried on for the technical complexity factors in function point analysis in order to increase the accuracy of the forecasted project’s effort.
format Thesis
author Koh, Tieng Wei
spellingShingle Koh, Tieng Wei
Effort Estimation Model for Function Point Measurement
author_facet Koh, Tieng Wei
author_sort Koh, Tieng Wei
title Effort Estimation Model for Function Point Measurement
title_short Effort Estimation Model for Function Point Measurement
title_full Effort Estimation Model for Function Point Measurement
title_fullStr Effort Estimation Model for Function Point Measurement
title_full_unstemmed Effort Estimation Model for Function Point Measurement
title_sort effort estimation model for function point measurement
publishDate 2007
url http://psasir.upm.edu.my/id/eprint/451/1/1600479.pdf
http://psasir.upm.edu.my/id/eprint/451/
_version_ 1643821828009885696
score 13.211869

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