Conference Information
iFM 2022: International Conference on integrated Formal Methods
Submission Date:
2022-02-11 Extended
Notification Date:
Conference Date:
Lugano, Switzerland
CORE: b   QUALIS: b1   Viewed: 15111   Tracked: 4   Attend: 0

Call For Papers
In recent years, we have witnessed a proliferation of approaches that integrate several modelling, verification and simulation techniques, facilitating more versatile and efficient analysis of software-intensive systems. These approaches provide powerful support for the analysis of different functional and non-functional properties of the systems, complex interaction of components of different nature as well as validation of diverse aspects of system behaviour. The iFM conference series is a forum for discussing recent research advances in the development of integrated approaches to formal modelling and analysis. The conference covers all aspects of the design of integrated techniques, including language design, verification and validation, automated tool support and the use of such techniques in software engineering practice. To credit the effort of tool developers, we introduce EAPLS artefact badging in this edition of iFM.

Areas of interest include but are not limited to:

    Formal and semi-formal modelling notations
    Combining formal methods with different performance, simulation and system analysis techniques
    Program verification, model checking, and static analysis
    Theorem proving, decision procedures and SAT/SMT solving
    Runtime analysis, monitoring and testing
    Program synthesis
    Modelling, analysis and synthesis of cyber-physical, hybrid, embedded, probabilistic, distributed or concurrent systems
    Abstraction and refinement
    Model learning and inference
    Approaches to integrating formal methods into software engineering practice or industry
    Approaches to integrating formal methods into standardisation or certification processes
    Formal methods for AI
    Tools and case studies supporting the integration of formal methods
Last updated by Dou Sun in 2022-01-27
Acceptance Ratio
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