Theoretical Aspects of Software Engineering 17th International Symposium, TASE 2023, Bristol, UK, July 4–6, 2023, Proceedings /

This book constitutes the proceedings of the 17th International Conference on Theoretical Aspects of Software Engineering, TASE 2023, held in Bristol, UK, July 4–6, 2023. The 19 full papers and 2 short papers included in this book were carefully reviewed and selected from 49 submissions. They cover...

সম্পূর্ণ বিবরণ

সংরক্ষণ করুন:
গ্রন্থ-পঞ্জীর বিবরন
সংস্থা লেখক: SpringerLink (Online service)
অন্যান্য লেখক: David, Cristina (Editor), Sun, Meng (Editor)
বিন্যাস: বৈদ্যুতিক বৈদ্যুতিন গ্রন্থ
ভাষা:ইংরেজি
প্রকাশিত: Cham : Springer Nature Switzerland : Imprint: Springer, 2023.
সংস্করন:1st ed. 2023.
মালা:Lecture Notes in Computer Science, 13931
বিষয়গুলি:
অনলাইন ব্যবহার করুন:https://doi.org/10.1007/978-3-031-35257-7
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সূচিপত্রের সারণি:
  • Systems with Runtime Assurance Architectures
  • Continuation-Passing Style into Static Single Assignment Form
  • Framework based on Reinforcement Learning
  • Decomposing Synthesized Strategies for Reactive Multi-agent Reinforcement Learning
  • Based Embedded Software Design
  • Probabilistic Contracts Using Timed Automata
  • Asynchronous test equivalence over timed processes
  • Protocol Conformance with Choreographic PlusCal
  • Verifying Chips Design at RTL Level
  • Maximizing Reachability Probabilities in Rectangular Automata with Random Clocks
  • A hierarchical spatial logic for knowledge sharing and fusion in intelligent connected vehicle cooperation
  • VeriLin: A Linearizability Checker for Large-Scale Concurrent Objects
  • Identifying Minimal Changes in the Zone Abstract Domain
  • idDL2DL - Interval syntax to DL
  • Safety Verification for Neural Networks Based on Set-boundary Analysis
  • Approximately learning quantum automata
  • View-Based Axiomatic Reasoning for PSO
  • Resource Sensitive Workflow Models
  • MTCD: An Efficient Cloning Detection Technique Based on Method Table
  • Stepwise development of paraconsistent processes
  • Detecting API-Misuse based on Pattern Mining via API Usage Graph with Parameters.