Estimation technique for software project planning

Periasamy, Sobah (2010) Estimation technique for software project planning. Masters thesis, Universiti Teknikal Malaysia Melaka.

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Abstract

Inaccurate estimations in software projects lead to several problems and even challenge the success of a project. Estimation error of software projects is high; it exceeds 25% of its actual development period and cost. The author conducted surveys on software project estimation, human resource allocation and human resource leveling in different projects in different software organizations in Singapore, Malacca, Kuala Lumpur, Petaling Jaya and Selangor. Based on the survey reports and literature reports, this study is focused on developing an EnhancedEste model for accurate estimation to optimize workflow efficiencies by integrating some existing systematic and scientific methods for software project planning. In remark, a model is developed which supports and integrating many of the techniques and methods for software project planning. This model is presented with new techniques for software project estimation; human resource allocation, human resource leveling, and developers competency assessment, making them easily accessible to project managers. In order to verify the EnhancedEste model, the author developed the prototype after interviewed many software project managers/software project leaders/personnel in charge of software project management, based on their response, found the model is efficient. This study suggests that, these techniques enable software developers closely resemble the milestone proposed for speeding up other forms of product development.

Item Type:	Thesis (Masters)
Uncontrolled Keywords:	Software engineering, Project management, Software
Subjects:	Q Science > Q Science (General) Q Science > QA Mathematics Q Science > QA Mathematics > QA76 Computer software
Divisions:	Library > Tesis > FTMK
Depositing User:	Zulkarnaen Mahat
Date Deposited:	10 Jun 2015 00:40
Last Modified:	10 Nov 2022 16:17
URI:	http://eprints.utem.edu.my/id/eprint/14636
Statistic Details:	View Download Statistic

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