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Rebeca for Actor Analysis in Action : Essays Dedicated to Marjan Sirjani on the Occasion of Her 60th Birthday / edited by Edward A. Lee, Mohammad Reza Mousavi, Carolyn Talcott.
Springer Nature - Springer Computer Science (R0) eBooks 2025 English International Available online
Springer Nature - Springer Computer Science (R0) eBooks 2025 English International- Format:
- Book
- Series:
- Lecture Notes in Computer Science, 1611-3349 ; 15560
- Language:
- English
- Subjects (All):
- Software engineering.
- Software Engineering.
- Local Subjects:
- Software Engineering.
- Physical Description:
- 1 online resource (X, 442 p. 151 illus., 83 illus. in color.)
- Edition:
- 1st ed. 2025.
- Place of Publication:
- Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
- Summary:
- This Festschrift volume, dedicated to Marjan Sirjani on the occasion of her 60th birthday, includes refereed papers by leading researchers. Marjan Sirjani received her PhD in Computer Engineering from Sharif University of Technology for work on the Formal Specification and Verification of Concurrent and Reactive Systems. After Postdoc, Lecturer, Visiting Scholar, Associate Professor, and Professor positions in Iran, The Netherlands, Iceland, and the US, she has been a Professor in the School of Innovation, Design and Engineering of Mälardalen University since 2016. Her main fields of interest are Software Engineering, Formal Methods, Cyber-Physical Systems Analysis, Model Checking, Distributed Systems, and Applying Formal Methods in System Design. Among other successes, Marjan invented the Rebeca modelling language, one of the best-known actor-based languages with a formal semantics and a wealth of analysis and verification tools. Rebeca has been used in modelling and analysis of a wide range of systems, including in domains such as biomedical engineering, automotive, and aviation. Throughout her career, Marjan has trained many students and worked successfully with a range of scientists and engineers across disciplines, these collaborations are reflected in the papers in this volume.
- Notes:
- Description based on publisher supplied metadata and other sources.
- ISBN:
- 3-031-85134-X
- OCLC:
- 1524425197
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