If you would like to write for this, or any other Emerald publication, then please use our Emerald for Authors service information about how to choose which publication to write for and submission guidelines are available for all. Please visit www.emeraldinsight.com/authors for more information. About Emerald www.emeraldinsight.comEmerald is a global publisher linking research and practice to the benefit of society. The company manages a portfolio of more than 290 journals and over 2,350 books and book series volumes, as well as providing an extensive range of online products and additional customer resources and services.Emerald is both COUNTER 4 and TRANSFER compliant. The organization is a partner of the Committee on Publication Ethics (COPE) and also works with Portico and the LOCKSS initiative for digital archive preservation. AbstractPurpose -The purpose of this paper is to classify the most important metrics proposed for web information systems, with the aim of offering the user a global vision of the state of the research within this area. Design/methodology/approach -WQM distinguishes three dimensions related to web features, lifecycle processes and quality characteristics. A range of recently published (1992)(1993)(1994)(1995)(1996)(1997)(1998)(1999)(2000)(2001)(2002)(2003)(2004) works that include web metrics definitions have been studied and classified within this model. Findings -In this work, a global vision of web metrics is provided. Concretely, it was found that about 44 percent of metrics are related to "presentation" and that most metrics (48 percent) are usability metrics. Regarding the life cycle, the majority of metrics are related to operation and maintenance processes. Nevertheless, focusing on metrics validation, it was found that there is not too much work done, with only 3 percent of metrics validated theoretically and 37 percent of metrics validated empirically. Practical implications -The classification presented tries to facilitate the use and application of web metrics for different kinds of stakeholders (developers, maintainers, etc.) as well as to clarify where web metric definition efforts are centred, and thus where it is necessary to focus future works. Originality/value -This work tries to cover a deficiency in the web metrics field, where many proposals have been stated but without any kind of rigour and order. Consequently, the application of the proposed metrics is difficult and risky, and it is dangerous to base decisions on their values.
Abstract. Quality is an essential characteristic for web success. Several authors have described different methodologies, guidelines, techniques and tools in order to assure the quality of web sites. Recently, a wide ranging set of metrics has been proposed for quantifying web quality attributes. However, there is little consensus among them. These metrics are sometimes not well defined, nor empirically or theoretically validated. Moreover, these metrics focus on different aspects of web sites or different quality characteristics, confusing, rather than helping, the practitioners interested in using them. With the aim of making their use easier, we have developed the WQM model (Web Quality Model), which distinguishes three dimensions related to web features, lifecycle processes and quality characteristics. In this paper we classify the most relevant web metrics using this framework. As a result of this classification we obtain that most of the metrics are classified into the "usability / exploitation / presentation" cell. Another conclusion obtained from our study is that, in general, metrics are automated but not validated formally nor empirically which is not a good way of doing things.
We propose a model, whose primary objective is web quality assessment. Furthermore, the model can be used for the classification of web metrics, and the classification of web research works.
Quality is an essential characteristic for web success. Several authors have defined different methodologies, guidelines, techniques and tools in order to assure the quality of web sites. Recently, a wide ranging set of metrics have been proposed for quantifying web quality attributes. However, there is little consensus among them. These metrics are sometimes not well defined, neither empirically or theoretically validated. Moreover, these metrics focus on different aspects of web sites or different quality characteristics, confusing the practitioners interested in using these metrics rather than helping them. With the aim of classifying these metrics and make their use easier, we have elaborated the WQM model (Web Quality Model), which distinguishes three dimensions related to features, lifecycle processes and quality characteristics. In this paper we analyze the most relevant web metrics using this framework and present some preliminary conclusions.
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