Semantic Theories and Automated Tools for Real-Time and Probabilistic Concurrent Systems

Abstract

The main objective of this project was to develop new semantic theories and automated tools for real-time and probabilistic concurrent systems; that is, systems of coordinating processes that exhibit behavior of a probabilistic or statistical nature and which must meet real-time constraints. The main results achieved include a new semantic framework for reasoning about the relative reliability of probabilistic systems in different operating environments; an efficient algorithm for checking whether a specification of a real-time concurrent system satisfies a correctness property specified in a real-time temporal logic; and a new model of soft real-time systems that allows users to make rigorous statements about the likelihood with which systems are guaranteed to meet deadlines. A number of these results have been incorporated into the Concurrency Factory verification toolkit. In turn, the Factory has provided a platform for technology transfer with several Long Island companies, including Parker-Hannifin, Reuters America, and Northrop Grumman.

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Document Details

Document Type
Technical Report
Publication Date
May 23, 1997
Accession Number
ADA329736

Entities

People

  • Scott A. Smolka

Organizations

  • Stony Brook University

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Airborne Warning And Control System
  • Algorithms
  • Computer Programming
  • Computer Science
  • Computers
  • Control Systems
  • Environment
  • Language
  • Multithreading
  • Probability
  • Reliability
  • Robotics
  • Simulations
  • Specifications
  • Technology Transfer
  • Theoretical Computer Science
  • Verification

Fields of Study

  • Computer science

Readers

  • Computational Linguistics
  • Distributed Systems and Data Platform Development