International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395 -0056
Volume: 04 Issue: 04 | Apr -2017
p-ISSN: 2395-0072
www.irjet.net
PROTOTYPICAL WEBSITE QUALITY MEASUREMENT USING T-SCORE STATISTICS MODEL B.Jayanthi1 and Dr. S.Suganya2 1Research
Scholar, School of Computer Studies,Rathnavel Subramaniam College of Arts & Science, Sulur, Coimbatore 2Associate Professor-Research, School of Computer Studies,Rathnavel Subramaniam College of Arts & Science, Sulur, Coimbatore ---------------------------------------------------------------------***---------------------------------------------------------------------
Abstract Websites are used extensively in our daily life to transform information between many users. Transformed information
will convey in several forms, styles, languages which includes text, images, sound and video intended to exchange, make agree, sell, and present a viewpoint. In this work, outlined about domain of academic sites with more characteristics and attributes in order to analyze the quality requirement tree and a way to identify them. These fundamentals are used in a numerical methodology for assessment, comparison, and ranking processes. The proposed methodology can be a useful approach to assess the quality in different phases of a Web product life cycle. This work makes an attempt to propose a framework for measuring quality attributes of web-based application systems. Web-based quality properties are referred to as non-functional properties of web applications such as performance, maintainability, security, usability, portability. Keywords: Computer science, Principle Component Analysis, ANOVA, T-Score, Quality Measure.
1. Introduction Websites are rising at a fastspeed both in terms of the growing acceptability of Web sites, and in terms of the difficulty of such artifacts. However, a large amount of defined product process model that control the effective development, and evaluation process model that support the Web-site quality assessment and improvement are not being accompanied by that sites development. Consequently, a systematic and disciplined utilization of models, engineering methods, and techniques for the assessment, understanding, and improvement of this type of software is taken as a mandatory constraint. The primary goal for Web-site quantitative evaluation is to understand the extent group of quality characteristics, that is necessary to a choose set of needs in a specific user view. Web site domains like museums, academic sites, electronic commerce, etc., are becoming increasingly difficult method. Hence, an integral quantitative performance process related all relevant quality characteristics are also a complex problem. The diverse nature of web applications makes it difficult to measure by using existing quality measurement models. Web applications often use large numbers of reusable components which make traditional measurement models less relevant. Estimating web sites quality needs appropriate evaluation criteria. Lot of existing criteria are not simple and easy to calculate and require methods such as heuristic calculation, or/and empirical usability tests. This work aims at defining a quality model and a set of characteristics that is used to measure in an automated fashion, relating internal and external quality factors. As number of existing tools can achieve some analysis, the common architecture will be based upon a conceptual model of the site/page, and the tools will givethe output to a Quality Data Base, which is the basis for subsequent actions. The rest of this paper is organized as follows. Section II summarizes the concepts and related works. Section III details the analysis of the collected results, which contains a Principal Component Analysis, ANOVA-based analysis and T-Score to evaluate the quality dependency on the application domainand Section IV discusses the experiments and the achieved results. Finally, Section V presents the conclusions of the work.
2. Literature Survey With the proliferation of the Internet and World Wide Web applications, users are increasingly interfacing and interacting with web-based applications. Aladwani and Prashant (2002) report on the development of an instrument that captures key characteristics of web site quality from the user’s perspective. Principal component analysis (PCA) is a multivariate technique was organized by Abdi and Lynne (2010) analyzes a data table in which observations are described by several inter-correlated quantitative dependent variables. Shlens Jonathon (2014) focuses on building a solid intuition for how and why principal component analysis works. This manuscript crystallizes this knowledge by deriving simple intuitions and the mathematics behind PCA. Electron paramagnetic resonance imaging (EPRI) provides a noninvasive, quantitative imaging modality to investigate static pO2 in vivo presented by Redler et al (2014). Š 2017, IRJET
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