Standard Machine Learning approaches to text classification use the bag-of-words representation of documents to deceive the classification target function. Typical linguistic stru...
One of the most important issue in source code analysis and software re-engineering is the representation of ode text at an abstraction level and form suitable for algorithmic pro...
Abstract. This paper presents a method to describe the operational semantics of languages based on their meta-model. We combine the established high-level modelling languages MOF, ...
Abstract. UML activity diagrams have become an established notamodel control and data flow on various levels of abstraction, ranging from fine-grained descriptions of algorithms ...
paper we will discuss the design of abstract firewall model along with platform-independent policy definition language. We will also discuss the main design challenges and solutio...