EDBT 2026 Demo / reviewers in the wild / expert
Orest Storoshchuk
dblp:25/1408
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2001
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 first-authorSystems, architecture and hardware · 1 · 1 first-author
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.
| Software engineering, system software, and programming languages
1 paper |
Requirements engineering and software design · 77% Program verification · 23% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Embedded and real-time systems · 100% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Requirements engineering and software design › model-driven engineering
model-based design |
0.0 | 1 | 2001 | Modeling Manufacturing Control Software · ICRA 2001 |
Embedded and real-time systems
industrial control systems |
0.0 | 1 | 2001 | Modeling Manufacturing Control Software · ICRA 2001 |
Program verification
formal modeling |
0.0 | 1 | 2001 | Modeling Manufacturing Control Software · ICRA 2001 |
Methods — techniques the papers use, named apart from their topics
subsystem composition · 0.1finite state machine · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2001 | Modeling Manufacturing Control SoftwareabstractSoftware is essential in today's machine controllers for reuse, reconfiguration and cost-reduction. Formal models and specifications for such a system are critical to guarantee correctness. In this paper, we present an approach to model manufacturing control systems based on a framework for subsystem composition and a nested finite state machine model for the system behavior. The paper presents the application of model-based methodology for real control systems. Some preliminary results obtained show that development costs were reduced significantly due to the domain-specific knowledge captured in such a model. Orest Storoshchuk, Shige Wang, Kang G. Shin |
ICRA | 1 |