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  • Article: An efficient Dynamic Addressing based routing protocol for Underwater Wireless Sensor Networks.
    Computer Communications. 01/2012; 35:475-486.
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    Conference Proceeding: A Proposed Probabilistic Model for Risk Forecasting in Small Health Informatics Projects
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    ABSTRACT: The history of software project failures is very old. In recent past huge emphasis has been given to investigate the possible causes of failure. In this regard an empirical study was conducted in 1996 on a group of 13,000 projects and it was concluded that almost 25% project were either delayed or fail projects . The project failure in any organization and in any environment dents the firms so badly that occasionally it becomes harder for them to survive. This means that delayed and failed projects not only put the name and reputation of the firm at question but also the firm’s revenues, jobs of the employees, moral and prospects to gain future projects is also greatly damaged. With the advancement of technology and ease in development of small and medium level systems has strongly encouraged the development of information systems and the Health specific Information Systems (IS), generally referred to as Health Information System (HIS) or Medical Information System (MedIS). The science that governs the development of MedIS or HIS is known as Medical Informatics (MI) that has emerged as a consolidated branch of IS during last thirty years. In precise terms (MI) “is primarily intended to provide solutions for problems of processing data, information and knowledge in medicine and healthcare” . There are a lot of risks in developing the projects that are related to the MI. The research is focused to provide the ability to forecast the risks in MI by categorizing the project in small, medium and large scale and they by applying the probabilistic model calculating the outcome value for each risk factor and ultimately mapping it back to the project factors to reduce the risks by adjusting the values assigned to them. This paper identifies and helps in suggesting the ways to resolve the risks in the software development life cycle.
    2011 International Conference on Modeling, Simulation and Control; 10/2011
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    Article: Trivial model for mitigation of risks in software development life cycle
    Basit Shahzad, Yousef Al-Ohali, Azween Abdullah
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    ABSTRACT: Software development is the art of developing the software in an appropriate manner by using the software development life cycle, regardless of the fact that which model is used for the development. The development is a dynamic activity and requires a lot of rational thinking during the analysis, design, coding, testing and maintenance phases of software development. As the development of software is becoming more systematic and tool-driven, and due to the over emphasized use of the technology the orientation of risks are increasing but the attention to risk management has been observed to be helpless to improve with the same pace to tackle the dynamically increasing software risks. In the last decade, precisely, having felt the importance of software risk management, increasing emphasis has been given in this domain. Therefore the academic and industrial community is worried to consider that how the risks can be handled to minimize the losses and to increase the profits and maintain reputation in the market This paper focuses on the aspect of suggesting the techniques to handle or manage the software risks. Taking into consideration the eighteen most prominent risk factors that affect the software quality and software process, the handling or avoidance strategy has been proposed. This paper suggests addressing the risk factors to be treated not only by the technology but by using intuition as well.
    International Journal of the Physical Sciences. 05/2011; 6:2072-2082.
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    Article: A new grid resource discovery framework.
    Mahamat Issa Hassan, Azween Abdullah
    Int. Arab J. Inf. Technol. 01/2011; 8:99-107.
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    Article: A survey on routing techniques in underwater wireless sensor networks.
    J. Network and Computer Applications. 01/2011; 34:1908-1927.

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