As business transitions into the new economy, e-system successful use has become a strategic goal. Especially in business to consumer (e-commerce) applications, users highly evaluate the quality of their interactive shopping experience. However, quality is difficult to define and measure and most importantly, it is difficult to measure its impact on the end-user. Among the many research questions that arise, some of the most important concern the exact nature of the quality attributes that define an e-commerce system, and how one could model these attributes in order to increase its acceptance. Bearing in mind that e-commerce systems are actually user/data-intensive web-based software systems, this work performed a survey which resulted in a theoretical model that helps to measure such systems' dynamics through their decomposition into primary quality characteristics. The proposed model is based on Bayesian Networks and ISO 9126. Besides the emphasis on specific software quality attributes, it also provides a quality assessment process aiding developers to design and produce e-commerce systems of high quality. Using a Bayesian Network the model can be used to combine different types of evidences and provide reasoning from effect to cause and vice versa.

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Distance learning has been widely researched the past few years, nevertheless the focus has been more on its technological dimension. Designing, developing and supporting a large scale e-learning application for Higher Education is still a challenging task in many ways. E-learning is data-intensive, user-driven, and has increasing needs for multiculturalism, efficiency, adaptivity and competiveness. Although the complexity of such systems has increased exponentially, the design process still lacks a systematic quality control procedure. In this work we address the increasing need for new methods that maximize usability, and thus end-user satisfaction. We analyse the technological, managerial and economic factors that affect the design and deployment of a large e-learning platform with advanced services and propose a set of new metrics for assessing its quality. The metrics are based on the four external quality characteristics (functionality, usability, efficiency and reliability) of the ISO9126 standard for software systems.

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