International Journal of Education and Management Engineering (IJEME)

IJEME Vol. 6, No. 5, Sep. 2016

Cover page and Table of Contents: PDF (size: 562KB)

Table Of Contents

REGULAR PAPERS

Agile Methodologies in Software Engineering and Web Engineering

By Arun Kumar Kamepally Tejaswini Nalamothu

DOI: https://doi.org/10.5815/ijeme.2016.05.01, Pub. Date: 8 Sep. 2016

Agile development methodologies have been gaining their importance in the present scenario. The usage of agile methodologies has been increased over the past few years for the development of software applications. It is a new paradigm transdisplanary research area. This paper helps the researcher to get a better understanding of agile methodologies in both software and web engineering: introduction, adoption, usage and analysis of agile in both streams. The rest of the paper summarizes the differences in adopting agile in software engineering and web engineering and also it explains the limitations of using agile in software engineering and web engineering.

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Big Data Challenges in Biometric Technology

By Shafagat Mahmudova

DOI: https://doi.org/10.5815/ijeme.2016.05.02, Pub. Date: 8 Sep. 2016

This study is devoted to Big Data problems in biometric technologies. It highlights the importance of the use of Big Data technologies in solution of a wide range of issues facing the national security, law enforcement system and defense authorities. The study provides information about Big Data and advanced cloud technologies in the field of biometric technology.

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An Intelligent Survey of Personalized Information Retrieval using Web Scraper

By Bhaskar Ghosh Dastidar Devanjan Banerjee Subhabrata Sengupta

DOI: https://doi.org/10.5815/ijeme.2016.05.03, Pub. Date: 8 Sep. 2016

In this paper we aim to do an intelligent background survey of Personalized Information Retrieval, a specialized and crucial subsection of Information Retrieval or IR. We have chosen the method of IR as Web Scraping, a technique that is extremely popular and is proven to have multi-domain usage.

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Regression Test Suite Prioritization using Residual Test Coverage Algorithm and Statistical Techniques

By Abhinandan H. Patil Neena Goveas Krishnan Rangarajan

DOI: https://doi.org/10.5815/ijeme.2016.05.04, Pub. Date: 8 Sep. 2016

Regression test suite study has been research topic for decades. In this paper we investigate the Regression test suite prioritization using residual test coverage algorithm for white box testing and introduce new statistical technique for black box testing. Our contribution in this paper is mainly problem solution to breaking the tie in residual coverage algorithm. Further we introduce new metric which can be used for prioritizing the regression test suite for black box testing. Towards the end part of the paper we get down to implementation details explaining how this can be done in the industrial or research project. The intended readers of this paper are developers and testers in the research field and practitioners of software engineering in the large scale industrial projects.

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