Work place: Department of Computer Engineering, Aligarh Muslim University, U.P.-202002, India
E-mail: nesar.ahmad@gmail.com
Website:
Research Interests: Autonomic Computing, World Wide Web, Mathematics of Computing
Biography
Nesar Ahmad is presently working as a Professor in the Department of Computer Engineering, Aligarh Muslim University, India. He has nearly twenty years of teaching experience. Nesar Ahmad obtained his B.Sc (Engg) degree in Electronics & Communication Engineering from Bihar College of Engineering, Patna (Now NIT, Patna) in 1984 and M.Sc (Information Engineering) degree from City University, London, U.K., in 1989. He received his Ph.D degree from Indian Institute of Technology (IIT), Delhi, India, in 1993. Earlier he worked as a Senior Scientific Officer in Microprocessor Applications Program at IIT Delhi. He was with King Saud University, Riyadh during 1997-99 as an Assistant Professor. Before joining AMU, he worked as an Assistant Professor in the Department of Electrical Engineering, IIT Delhi till December 2004. His current research interests mainly include Soft Computing, Web Intelligence and E-Learning. He has authored many papers in various International Journals and Conference proceedings.
By Mohd. Anjum Md. Asraful Haque Nesar Ahmad
DOI: https://doi.org/10.5815/ijitcs.2013.02.01, Pub. Date: 8 Jan. 2013
Many software reliability growth models (SRGMs) have been analyzed for measuring the growth of software reliability. Selection of optimal SRGMs for use in a particular case has been an area of interest for researchers in the field of software reliability. All existing methodologies use same weight for each comparison criterion. But in reality, it is the fact that all the parameters do not have the same priority in reliability measurement. Keeping this point in mind, in this paper, a computational methodology based on weighted criteria is presented to the problem of performance analysis of various non-homogenous Poisson process (NHPP) models. It is relatively simple and requires less calculation. A set of twelve comparison criteria has been formulated and each criterion has been assigned different weight to rank the software reliability growth models proposed during the past 30 years. Case study results show that the weighted criteria value method offers a very promising technique in software reliability growth models comparison.
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