Adaptive Evolutionary Information Systems
Nandish V. Patel
Idea Group Inc (IGI), 2003 - Computers - 359 pages
Adaptive and evolutionary information systems enable both developers and users to change systems functionality. Such systems are required because of the changing nature of users' requirements. This is a critical area of research and practice for businesses that have to ensure that their investment in IT/IS is capable of changing with the needs of the business. Adaptive Evolutionary Information Systems focuses on the pertinent issues and challenges surrounding the implementation of information systems within businesses and organizations.
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3rd order action developers action-based adaptable software development adaptive evolutionary systems adaptive protocols agents analysis application units approach architecture artefact Aspect-Oriented Programming aspects behaviour cache chapter client CoFIND collaborative filtering complex components computer science concept context deferred design decisions deferred system defined design activity design and implementation Design Continuum design process domain dynamic enable end-user evaluation evolution example factors Figure functionality information pool information systems Information Technology integration interaction Internet issues Kendra learners learning matching mechanism methods multimedia object-oriented Object-Oriented Programming office-based operation organisation paradigm parameters Patel performance personalization techniques problem program code protocol stack random recycling reflective developer requirements runtime S-SEI server skeuomorph software development Software Engineering software flexibility specific spreadsheet stigmergy strategy systems development Trader Ttools tuple tuplespace University of Athens user interface VIP queuing
Page xii - The editor would like to acknowledge the help of all involved in the collation and review process of the book, without whose support the project could not have been satisfactorily completed.