Empirical Foundations of Information and Software Science V by Melvin Kranzberg (auth.), Pranas Zunde, Dan Hocking (eds.)

By Melvin Kranzberg (auth.), Pranas Zunde, Dan Hocking (eds.)

This is the complaints of the 6th Symposium on Empirical Foundations of data and software program Sciences (EFISS), which used to be held in Atlanta, Georgia, on October 19-21, 1988. the aim of the symposia is to discover topics and strategies of clinical inquiry that are of universal curiosity to details and software program sciences, and to spot instructions of analysis that will enjoy the mutual interplay of those disciplines. the most subject matter of the 6th symposium was once modeling in details and software program engineering, with emphasis on equipment and instruments of modeling. The symposium coated subject matters corresponding to types of person and organizational clients of data platforms, tools of choosing applicable kinds of versions for a given form of clients and a given kind of projects, deriving versions from documents of procedure utilization, modeling method evolution, developing person and activity types for adaptive structures, and types of procedure architectures. This symposium was once backed by way of the college of knowledge and desktop technology of the Georgia Institute of expertise and by way of the U.S. military Institute for examine in administration details, Communications, and laptop Sciences (AIRMICS). 17le Editors vii CONTENTS 1 I. KEYNOTE handle ............................................. .

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Some communication breakdowns between project teams were avoided when one or more project members spanned team or organizational boundaries (Adams, 1976). One type of boundary-spanner was the chief system engineer, who translated customer needs into terms understood by software developers. Boundary-spanners translated information from a form used by one team into a form that could be used by other teams. Boundary-spanners had good communication skills and a willingness to engage in constant face-to-face interaction; they often became hubs for the information networks that assisted a project's technical integration.

I. of General Systems, Vol. 4, pp. 221-229. Yager, R. , 1983, Entropy and Specificity in a Mathematical Theory of Evidence, Intem. I. of General Systems, Vol. 4, pp. 249-260. Yager, R. , 1986, Toward General Theory of Reasoning with Uncertainty: Nonspecificity and Fuzziness, Intem. I. of Intelligent Systems, Vol. 1, pp. 45-67. Yager, R. R. et al. ), 1987, Fuzzy Sets and Applications: Selected Papers by LA. Zadeh, Wiley-Inter science, New York. Zeigler, B. , 1976, Theory of Model/ing and Simulation, John Wiley, New York.

2. CONCEPTUAL FRAMEWORKS FOR SYSTEMS MODELING Systems modeling is an activity that requires a conceptual framework within which one operates. Each framework determines the scope of systems that can be described within it and leads to some specific taxonomy of these systems. Several conceptual frameworks have been proposed that attempt to capture the full scope of systems we are currently able to envision (K1ir, 1985(a); Mesarovic and Takahara, 1975; Wymore, 1969; Zeigler, 1976). The differences in terminology and mathematical formulation among them are considerable.

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