Now showing items 1-6 of 6
Toward Autonomic Data-Oriented Scalability in Cloud Computing Environments
The applications deployed in modern data centers are highly diverse in terms of architecture and performance needs. It is a challenge to provide consistent services to all applications in a shared environment. This thesis ...
Automating Software Customization via Crowdsourcing using Association Rule Mining and Markov Decision Processes
As systems grow in size and complexity so do their configuration possibilities. Users of modern systems are easy to be confused and overwhelmed by the amount of choices they need to make in order to fit their systems to ...
Rewarding the Location of Terms in Sentences to Enhance Probabilistic Information Retrieval
In most traditional retrieval models, the weight (or probability) of a query term is estimated based on its own distribution or statistics. Intuitively, however, the nouns are more important in information retrieval and ...
Using Learning to Rank Approach to Promoting Diversity for Biomedical Information Retrieval with Wikipedia
In most of the traditional information retrieval (IR) models, the independent relevance assumption is taken, which assumes the relevance of a document is independent of other documents. However, the pitfall of this is ...
Efficient Calculation of Optimal Configuration Processes
Customers are getting increasingly involved in the design of the products and services they choose by specifying their desired characteristics. As a result, configuration systems have become essential technologies to support ...
Comparing Representations of Contribution Labels in Goal Models
Goal models have been proposed to be an effective method to support decision making in early requirements engineering. Key to using them is the concept of contribution links that represent how the satisfaction of one goal ...