Increasing Productivity at Saturn
Computer
Engineering of Software-Intensive Systems: State of the Art and Research Challenges
Software-Intensive Systems and New Computing Paradigms
Software Engineering for Ensembles
Software-Intensive Systems and New Computing Paradigms
Application of model-integrated computing in manufacturing execution systems
ECBS'99 Proceedings of the 1999 IEEE conference on Engineering of computer-based systems
ECBS'99 Proceedings of the 1999 IEEE conference on Engineering of computer-based systems
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Many large distributed applications are tightly integrated with their physical environments and must be adapted when their environment changes. Typically, software development methodologies do not place a large emphasis on modeling the system's environment, and hence environmental changes may lead to significant discrepancies in the software. In this paper we argue that (1) the modeling of the environment should be an integral part of the process, and (2) to support software evolution, wherever possible, the software should be automatically generated. We present a model-integrated development approach that is capable of supporting cost effective system evolution in accordance with changes in the system's environment. The approach is supported by a ``meta-architecture'' that provides a framework for building complex software systems using COTS and custom developed software components. This framework has been successfully used in various projects. One of these projects, a site production flow visualization system for a large manufacturing operation, will be analyzed in detail. First, we show how the model-integrated process can be generalized and used to build families of model-integrated tools that support the development of specific systems. Next, we describe how the generic architecture was customized for the particular domain. Next, we discuss how specific components were implemented, and present a detailed experience report (both from developers and end-users).