Work place: Department of CSE, Amity University, Noida, Uttar Pradesh, India
Research Interests: Soft Computing, Data Mining, Artificial Intelligence, Software Engineering
Dr. Sanjay Kumar Dubey is Assistant Professor in Department of Computer Science and Engineering in Amity School of Engineering and Technology, Amity University Uttar Pradesh, India. He has 13 year of teaching experience. He is member of IET and ACM digital library. He has a rich academics & research experience in various areas of Computer Science. His research areas include Object Oriented Software Engineering, Soft Computing, HCI, Cloud Computing and Data Mining. He has published more than 55 research papers in indexed National & International Journals including ACM and in Proceedings of the reputed International/ National Conferences (including IEEE Explore). These publications have good citation records. He has authored 2 books also. In addition, he has also served as a Technical Program Committee Member of several reputed conferences.
DOI: https://doi.org/10.5815/ijieeb.2015.05.02, Pub. Date: 8 Sep. 2015
The presence of number of web sites has increased the user's attraction towards web objects. This tremendous use came up with the future requests prediction depending upon the current and past access behaviour. Use of Internet has boomed up a lot since the last decade. This use also came with the heavy load on the internet. In today's world, speed plays a significant role and hence the speed augmentation is one of the biggest issues. For this, web latency reduction by prefetching is one of the good ideas. For the same, web prefetching is performed, where user's next expected requests are prefetched in the web cache of the web browser. A browser is basically a GUI based application program, which provides a platform for running Internet. Mozilla Firefox is a web browser, which is in very much use these days. This paper provides an analysis of Mozilla Firefox prefetching technique (link and DNS prefetching) and then designs a new prefetching scheme for the same. The experimental results are performed in Matlab 5.0. The results show that the designed prefetching framework is more efficient in terms of the cache hit ratio.[...] Read more.
DOI: https://doi.org/10.5815/ijieeb.2015.02.02, Pub. Date: 8 Mar. 2015
Software quality measurement is the key factor in the development of any software system. Various software quality models are devised to measure the performance of a software system, which consists of numerous quality parameters on the basis of which software are quantified. Different types of software quality models are already present like an ISO/IEC9126 Quality model, Boehm's model, McCall's model, etc. In this paper, an attempt has been made to increase the quality of a software system by introducing some new quality parameters in ISO/IEC9126 model. Since the quality parameters are very unpredictable in nature, so as to evaluate the performance of quality parameters, the fuzzy multi criteria approach has been used.[...] Read more.
DOI: https://doi.org/10.5815/ijitcs.2015.04.07, Pub. Date: 8 Mar. 2015
Software Quality is very important aspect for any software development company. Software quality measurement is also a major concern for improving the software applications in software development processes in these companies. The quantification of various quality factors and integrate them into various software quality models is very important to analyze the quality of software system. Software usability is one of the important quality factors now days due to the increasing demand of interactive and user friendly software systems.
In this paper, an attempt has been made to quantifying the usability of Ms-Excel 2007 and Ms-Excel 2010 application software using ISO/IEC 9126 model and compare the numeric value of usability for both version of Ms-Excel 2007 and Ms-Excel 2010. Due to the random nature of the usability attributes, the fuzzy multi criteria decision technique has been used to evolve the usability of the software office application. The present method will be helpful to analyze and enhance the quality of interactive software system.
DOI: https://doi.org/10.5815/ijitcs.2015.01.08, Pub. Date: 8 Dec. 2014
Maintainability is an important quality attribute for almost every quality model. Maintainability of the software is considered as most expensive phase in software development life cycle as it consumes almost major part of the total effort allocated to the software system. Maintainability evaluation is complex due to its imprecise output. This paper proposes a maintainability model by considering its fuzzy aspects. Since fuzzy modeling deals with uncertainty and impreciseness so this paper uses fuzzy methodology and AHP technique to evaluate the maintainability of the model. Object oriented system has taken as case study for maintainability evaluation purpose.[...] Read more.
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