Affiliation:
1. Yarmouk University, Jordan
Abstract
Some tasks will be easier to implement and test, and others will either be un-applicable or difficult to test and implement in comparison with testing in traditional software development environments. For engineering management, product and process quality evaluation are important assessment tools by which managers can have significant indicators of the evaluated project or product. There are many ways and characteristics by which websites can be evaluated. Quality attributes can be external or internal. They can be measured based on the developed product (i.e. the website) or the developing process. In this chapter, the author describes in detail some of the product and process metrics by which websites can be evaluated. They are described based on the major classification: process and product metrics. In each one of those two major classes, the author describes possible measurements, how they can be evaluated, and examples of attributes and tools used in this measurement. Values of measurements can in combination provide useful information for project management and planning. Focusing on only one or two attributes can possibly be insufficient or misleading.
Reference45 articles.
1. W3C. (2011). W3C markup validation service. Retrieved from http://validator.w3.org/
2. Abrahao, S., Condori-Fernandez, N., Olsina, L., & Pastor, O. (2003). Defining and validating metrics for navigational models. In Proceedings of the 9th International Software Metrics Symposium (METRICS 2003), (pp. 200-210). Sydney, Australia: METRICS.
3. Alagappan, B., Alagappan, M., & Danishkumar, S. (2009). Web metrics based on page features and visitor's web behavior. In Proceedings of the 2nd International Conference on Computer and Electrical Engineering (ICCEE 2009), (vol. 2, pp. 236-241). Dubai, UAE: ICCEE.
4. Alexa. (2011). The web information company. Retrieved from http://www.alexa.com/
5. Alhenshiri, A., & Duffy, J. (2010). User studies in web information retrieval: User-centered measures in web IR evaluation. In Proceedings of the 2010 IEEE 24th International Conference on Advanced Information Networking and Applications Workshops (WAINA), (pp. 632-637). IEEE Press.