Mohammed Abdullah Hassan Al-Hagery

Work place: Department of Computer Science, Qassim University, Buraydah, Qassim, KSA

E-mail: dr_alhagery@yahoo.com

Website:

Research Interests: Computer Science & Information Technology, Computer systems and computational processes, Computer Networks, Theoretical Computer Science

Biography

Mohammed A. H. Al-Hagery received his B.Sc in Computer Science from the University of Technology in Baghdad Iraq-1994. He got his MSc in Computer Science from the University of Science and Technology Yemen-1998. Al-Hagery finished his Ph.D. In Computer Science, (Software Engineering) from the Faculty of Computer Science and IT, University of Putra Malaysia (UPM)- 2004. He was a pointed a head of Computer Science Department at the Faculty of Science and Engineering, USTY, Sana‘a from 2004 to 2007. From 2007 to this date, he is a staff member at the Faculty of Computer, Qassim University in KSA. He published more than 13 papers in international journals. Dr. Al-Hagery was appointed a head for Research Centre at the Computer College, Qassim University, KSA from September 2012 to this date.

Author Articles
Cost Estimation of the Homogeneous Websites Using Hyper-links Analysis

By Mohammed Abdullah Hassan Al-Hagery

DOI: https://doi.org/10.5815/ijmecs.2015.10.02, Pub. Date: 8 Oct. 2015

Websites hide thousands of links and sub-links. Websites’ links contain a huge amount of information and knowledge. This research concentrates mainly on the difficulty of early prediction of web structure size at the beginning of Website Development Life Cycle (WDLC), especially during planning and gathering requirements. There is a lack of finding an appropriate mechanism to assist developers in these steps. The objective of this research is to measure the logical size of a website in order to predict the development time and cost earlier before the development process based on based on the website contents and its internal structure. This objective includes three sub-objectives. First, analysis of seven classes of websites to collect real data sets. Second, extracting a set of relations from the gathered data and use these relations to establish a proposed model. Third, apply the gathered data in the proposed model to predict the development time and cost of a website. This research provides strong and important results that would help developers before the development process to predict total development time and cost which in turn used directly to specify development tools, draw project plan, formulate contract conditions and determine project duration and final price.

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