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ETAPS'99 is the second instance of the European Joint Conferences on Theory and Practice of Software. ETAPS is an annual federated conference that was established in 1998 by combining a number of existing and new conferences. This year it comprises ve conferences (FOSSACS, FASE, ESOP, CC, TACAS), four satellite workshops (CMCS, AS, WAGA, CoFI), seven invited lectures, two invited tutorials, and six contributed tutorials. The events that comprise ETAPS address various aspects of the system - velopment process, including speci cation, design, implementation, analysis and improvement. The languages, methodologies and tools which support these - tivities are all well within its scope. Dieren t blends of theory and practice are represented, with an inclination towards theory with a practical motivation on one hand and soundly-based practice on the other. Many of the issues involved in software design apply to systems in general, including hardware systems, and the emphasis on software is not intended to be exclusive.
This book presents 12 revised refereed papers selected as the best
from 32 submissions for the First International Workshop on Tools
and Algorithms for the Construction and Analysis of Systems, TACAS
'95, held in Aarhus, Denmark, in May 1995.
This Festschrift is in honor of Scott A. Smolka, Professor in the Stony Brook University, USA, on the occasion of his 65th birthday. Scott A. Smolka made fundamental research contributions in a number of areas, including process algebra, model checking, probabilistic processes, runtime verification, and the modeling and analysis of cardiac cells, neural circuits and flocking behaviors. He is perhaps best known for the algorithm he and Paris Kanellakis invented for checking bi-simulation. The title of this volume From Reactive Systems to Cyber-Physical Systems reflects Scott's main research focus throughout his career. It contains the papers written by his closest friends and collaborators. The contributions cover a wide spectrum of the topics related to Scott's research scientific interests, including model repair for probabilistic systems, runtime verification, model checking, cardiac dynamics simulation and machine learning.
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