Abstract Worst-case resource usage provides a useful guidance in the design, configuration and deployment of software, especially when it runs under context with limited amount resources. Static resource-bound analysis can provide sound upper bounds worst-case but may too conservative, even unbounded, results. In this paper, we present resource-usage-aware fuzzing approach to estimate usage. Th...

We describe an efficient framework for Web personalization based on sequential and non-sequential pattern discovery from usage data. Our experimental results performed on real usage data indicate that more restrictive patterns, such as contiguous sequential patterns (e.g., frequent navigational paths) are more suitable for predictive tasks, such as Web prefetching, which involve predicting whic...

This paper discusses how attention metadata enables collection of rich usage data. We use this attention to enhance users' models, predict usage patterns and feed personalization and recommender systems. We argue that attention metadata extends the information on user attention which can be derived from current log services. Furthermore, frameworks and schemas that enable tracking and merging r...

The past decade has seen increased testing of students and the concomitant proliferation of computer-based systems to store, manage, analyze, and report the data that comes from these tests. The research to date on teacher use of these data has mostly been qualitative and has mostly focused on the conditions that are necessary (but not necessarily sufficient) for effective use of data by teache...

Social tagging systems have established themselves as an important part in today’s web and have attracted the interest of our research community in a variety of investigations. Henceforth, several assumptions about social tagging systems have emerged on which our community also builds their work. Yet, testing such assumptions has been difficult due to the absence of suitable usage data in the p...

The electrification of vehicles would be a reality in the coming decades. Statistical results on real electric vehicle usage data is a key point in the development of the electro mobility. A large collection of electric vehicles and charging points have been monitored during three years and the results about the driving and charging patterns are shown in this work. These results may help to dev...

The engagement of stakeholders in the project lifecycle is a key factor in the success of any project. Yet getting stakeholders engaged is a difficult task. The problem is further exacerbated when the software development project is globally distributed, mainly because of communication barriers between different stakeholders. In this paper we describe multiple case studies where a wiki platform...

The advantages of breastfeeding to the mother and newborn are many. Lactating mothers frequently ask about the safety of taking medications and the risk to their newborn. It is well established that all drugs are excreted into breast milk. However, most medications appear in only small amounts within the breast milk. With the availability of numerous resources on drug use while breastfeeding, a...

Recommendation systems often use association rules as main technique to discover useful links among the set of transactions, especially web usage data – historical user sessions. Presented in the paper new approach extends typical, direct association rules with indirect ones, which reflect associations existing “between” rather than “within” web user sessions. Both rule types are combined into ...

An Efficient Interaction Framework for Mobile Web Services Abdullah Abdullatif Almuaibid Supervising Professor: Xumin Liu, Ph.D. Having the latest technological devices is becoming more of a necessity these days rather than a luxury as it was only a decade ago. Among these advancements, the smart phone has grown in popularity significantly. This is due to a variety of reasons but it would have ...