While the need for good requirements is well understood, and there many sources that describe what constitutes a set of good requirements, poor requirements continue to plague projects. In recent years tools have become available to assist in requirements management and their rapid adoption throughout industry attests to their efficacy in data handling and display. Contemporary requirements eng...

This paper examines feature selection for log linear models over rich constraint-based grammar (HPSG) representations by building decision trees over features in corresponding probabilistic context free grammars (PCFGs). We show that single decision trees do not make optimal use of the available information; constructed ensembles of decision trees based on different feature subspaces show signi...

Research in context-aware systems shows that using context information enables the development of personalized mobile applications. The context acquisition process in a context-aware (CA) system consists of two main roles: context producing entities (e.g. wrapped sensors) and context consuming entities (e.g. CA application). A CA system can be seen as a hierarchy of associated context producers...

Recent approaches to component-based software engineering employ coordinating connectors to compose components into software systems. For maximum flexibility and reuse such connectors can themselves be composed, resulting in an expressive calculus of connectors whose semantics encompasses complex combinations of synchronisation, mutual exclusion, non-deterministic choice and state-dependent beh...

We investigate the effectiveness of GP-generated intelligent structures in classification tasks. Specifically, we present and use four context-free grammars to describe (1) decision trees, (2) fuzzy rule-based systems, (3) feedforward neural networks and (4) fuzzy Petri-nets with genetic programming. We apply cellular encoding in order to express feedforward neural networks and fuzzy Petri-nets...

In this work, we examine the effectiveness of two intelligent models in medical domains. Namely, we apply grammar-guided genetic programming to produce fuzzy intelligent structures, such as fuzzy rule-based systems and fuzzy Petri nets, in medical data mining tasks. First, we use two context-free grammars to describe fuzzy rule-based systems and fuzzy Petri nets with genetic programming. Then, ...