Software Engineering with Computational Intelligence

Software Engineering with Computational Intelligence

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It is not an exaggeration to view Professor Lee's book, q Software Engineer ing with Computational Intelligence, q or SECI for short, as a pioneering contribution to software engineering. Breaking with the tradition of treat ing uncertainty, imprecision, fuzziness and vagueness as issues of peripheral importance, SECI moves them much closer to the center of the stage. It is ob vious, though still not widely accepted, that this is where these issues should be, since the real world is much too complex and much too ill-defined to lend itself to categorical analysis in the Cartesian spirit. As its title suggests, SECI employs the machineries of computational intel ligence (CI) and, more or less equivalently, soft computing (SC), to deal with the foundations and principal issues in software engineering. Basically, CI and SC are consortia of methodologies which collectively provide a body of con cepts and techniques for conception, design, construction and utilization of intelligent systems. The principal constituents of CI and SC are fuzzy logic, neurocomputing, evolutionary computing, probabilistic computing, chaotic computing and machine learning. The leitmotif of CI and SC is that, in general, better performance can be achieved by employing the constituent methodologies of CI and SC in combination rat her than in a stand-alone mode. In what follows, I will take the liberty of focusing my attention on fuzzy logic and fuzzy set theory, and on their roles in software engineering. But first, a couple of points of semantics which are in need of clarification.Chris Matthewsa#39; and Paul A. Swatman2 1 Department of Information Technology, School of Business and Technology La ... Institute of Management and Technology Filderhauptstrfie 142 70599 Stuttgart, Germany and School of Management ... We can create models to express our understanding of a current system problem, to identify areas for change or to ... Many of the modelling approaches use semi-formal diagramming techniques resulting, for example in data flow diagrams andanbsp;...

Title:Software Engineering with Computational Intelligence
Author: Jonathan Lee
Publisher:Springer Science & Business Media - 2003-03-19

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