A Fuzzy Logic Based Approach For Enterprise Application Evaluations

This contribution presents an approach to use fuzzy logic and fuzzy rule systems for enterprise application evaluations (enterprise architecture dependent application evaluations). Such evaluations regard all relations to enterprise architecture artifacts in order to evaluate an application. There may be a large number of criteria to be considered and some of them have to be assessed by humans, which may introduce vagueness to the results. We present a method to assign the results of criteria to linguistic terms that have semantics like “good” or “poor”. Since it is often relevant to have exactly one characteristic to compare applications to each other, a fuzzy rule system approach is presented that aggregates those linguistic terms for each criterion of an application to an overall indicator of an application’s quality

Semantic discovery and reuse of business process patterns

Patterns currently play an important role in modern information systems (IS) development and their use has mainly been restricted to the design and implementation phases of the development lifecycle. Given the increasing significance of business modelling in IS development, patterns have the potential of providing a viable solution for promoting reusability of recurrent generalized models in the very early stages of development. As a statement of research-in-progress this paper focuses on business process patterns and proposes an initial methodological framework for the discovery and reuse of business process patterns within the IS development lifecycle. The framework borrows ideas from the domain engineering literature and proposes the use of semantics to drive both the discovery of patterns as well as their reuse