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Sonia R. Sachs

dblp:34/2747 · DBLP profile ↗
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7ranked-venue papers
0as first author
0since 2021 · last 2007
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Theory of computation · 5Software engineering, systems software and programming languages · 2Artificial intelligence and machine learning · 1Applied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
Embedded and real-time systems · 100%
Theoretical computer science
2 papers
Logic in computer science · 100%

Topics — the 5 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Embedded and real-time systems
model-based design
0.012003
Taming heterogeneity - the Ptolemy approach · Proc. IEEE 2003
Logic in computer science › concurrency theory
concurrency models
0.011995
Modelling Asynchrony with a Synchronous Model · CAV 1995
Embedded and real-time systems
cyber-physical systems
0.012003
Taming heterogeneity - the Ptolemy approach · Proc. IEEE 2003
Logic in computer science
process algebra
0.011993
A Structural Linearization Principle for Processes · CAV 1993
Logic in computer science › program semantics › operational semantics
structural operational semantics
0.011993
A Structural Linearization Principle for Processes · CAV 1993

Methods — techniques the papers use, named apart from their topics

actor-oriented modeling · 0.0
YearPublicationVenuePosition
2007 Multi-agent Model of Technological Shifts
James G. McCarthy, Tony Sabbadini, Sonia R. Sachs
MABS3
2003 Taming heterogeneity - the Ptolemy approach
abstract
Modern embedded computing systems tend to be heterogeneous in the sense of being composed of subsystems with very different characteristics, which communicate and interact in a variety of ways-synchronous or asynchronous, buffered or unbuffered, etc. Obviously, when designing such systems, a modeling language needs to reflect this heterogeneity. Today's modeling environments usually offer a variant of what we call amorphous heterogeneity to address this problem. This paper argues that modeling systems in this manner leads to unexpected and hard-to-analyze interactions between the communication mechanisms and proposes a more structured approach to heterogeneity, called hierarchical heterogeneity, to solve this problem. It proposes a model structure and semantic framework that support this form of heterogeneity, and discusses the issues arising from heterogeneous component interaction and the desire for component reuse. It introduces the notion of domain polymorphism as a way to address these issues.
Johan Eker, Jörn W. Janneck, Edward A. Lee, Jie Liu 0001, Xiaojun Liu 0001, Jozsef Ludvig, Stephen Neuendorffer, Sonia R. Sachs, Yuhong Xiong
Proc. IEEE8
1999 Modelling Asynchrony with a Synchronous Model
Robert P. Kurshan, Michael Merritt, Ariel Orda, Sonia R. Sachs
Formal Methods Syst. Des.4
1997 Formal Verification of a Distributed Computer System
Michael Merritt, Ariel Orda, Sonia R. Sachs
Formal Methods Syst. Des.3
1995 Modelling Asynchrony with a Synchronous Model
Robert P. Kurshan, Michael Merritt, Ariel Orda, Sonia R. Sachs
CAV4
1994 A Structural Linearization Principle for Processes
Robert P. Kurshan, Michael Merritt, Ariel Orda, Sonia R. Sachs
Formal Methods Syst. Des.4
1993 A Structural Linearization Principle for Processes
Robert P. Kurshan, Michael Merritt, Ariel Orda, Sonia R. Sachs
CAV4