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iFM 2022: International Conference on integrated Formal Methods

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iFM
投稿締切日:
2022-02-11 Extended
通知日:
2022-03-18
開催日:
2022-06-07
開催地:
Lugano, Switzerland
開催回数:
17
ICORE: B   QUALIS: B1   閲覧: 34409   フォロー: 4   参加: 0

論文募集

iFM 2022 (International Conference on integrated Formal Methods) is a ICORE B / QUALIS B1 conference held in Lugano, Switzerland on 2022-06-07. The paper submission deadline is 2022-02-11 (extended). Acceptance notifications are sent on 2022-03-18.

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
最終更新：Dou Sun（）

採択率

平均採択率: 40.4% 4 年間 (2000–2005).

年投稿数採択数採択率(%)
2005401947.5%
2004652436.9%
2002461839.1%
2000582237.9%

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