Overabundance of information has been well documented as a drag on human performance. Theoretical constructs such as visual dominance have led to visualization systems as a palliative, integrating cumbersome amounts of incoming data into more tractable forms. Most such systems have accepted only numerical inputs. I designed, developed, and evaluated a time-based visualization system for textual...

Automatic text summarization is a topic of great interest in many fields knowledge. Particularly, query-oriented extractive multi-document methods have increased their importance recently, since they can automatically generate summary according to query given by the user. One way address this problem multi-objective optimization approaches. In paper, memetic algorithm, specifically Multi-Object...

At British Airways, we have found during several large OO projects documented using the UML that non-technical end-users, managers and business domain experts find it difficult to understand UML visual models. This leads to problems in requirement capture and review. To solve this problem, we have developed the technique of Literate Modelling. Literate Models are UML diagrams that are embedded ...

This paper discusses the inherent difficulties in evaluating systems for theme detection. Such systems are based essentially on unsupervised clustering aiming to discover the underlying structure in a corpus of texts. As the structures are precisely unknown beforehand, it is difficult to devise a satisfactory evaluation protocol. Several problems are posed by cluster evaluation: determining the...

Conflict Identification in Aspect-Oriented Requirements Engineering (AORE) is an integral step toward resolving conflicting dependencies between requirements at an early stage of the software development. However, to date there has been no work supporting detection of conflicts in a large set of textual requirements without converting texts into an alternative representation (such as models or ...

Inference about whether a word in one text has similar meaning to another word in the other text is an essential task in order to understand whether two texts have similar meaning. However, this inference becomes difficult especially when two words do not share a lexical root, do not have the same argument structure, or do not have the same part-of-speech. This paper presents an unsupervised ap...