Presentation 2022-03-07
Learning Assumptions for Compositional Verification of Timed Systems with Tree Queries
Kotaro Niimi, Shoji Yuen,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) This paper presents an automatic assumption-learning for compositional verification of timed systems. We focus on Assume-Guarantee Reasoning (AGR), one of the compositional verification methods. AGR checks whether multiple components satisfy the property as a whole by checking whether the individual components interact correctly with the assumption without violating the desired property. Assumption learning algorithms for AGR have been proposed by Cobleigh et al. using Angluin’s L* algorithm and further extended to timed systems by Lin et al. We apply the SL* algorithm for register automata to timed systems modelled by Event-recording automata(ERA). Our assumption-learning uses tree queries to construct an observation table for the assumption ERA instead of guarded words. Our assumption includes actions to reset clocks. This enables to learn assumption ERA by a single loop and make the algorithm simpler.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Compositional verification / Timed systems / Tree query
Paper # SS2021-49
Date of Issue 2022-02-28 (SS)

Conference Information
Committee SS
Conference Date 2022/3/7(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Online
Topics (in Japanese) (See Japanese page)
Topics (in English) Software Science etc.
Chair Takashi Kobayashi(Tokyo Inst. of Tech.)
Vice Chair Kozo Okano(Shinshu Univ.)
Secretary Kozo Okano(Hiroshima City Univ.)
Assistant Shinpei Ogata(Shinshu Univ.)

Paper Information
Registration To Technical Committee on Software Science
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Learning Assumptions for Compositional Verification of Timed Systems with Tree Queries
Sub Title (in English)
Keyword(1) Compositional verification
Keyword(2) Timed systems
Keyword(3) Tree query
1st Author's Name Kotaro Niimi
1st Author's Affiliation Nagoya University(Nagoya Univ)
2nd Author's Name Shoji Yuen
2nd Author's Affiliation Nagoya University(Nagoya Univ)
Date 2022-03-07
Paper # SS2021-49
Volume (vol) vol.121
Number (no) SS-416
Page pp.pp.43-48(SS),
#Pages 6
Date of Issue 2022-02-28 (SS)