D 2018

Online Enumeration of All Minimal Inductive Validity Cores

BENDÍK, Jaroslav, Elaheh GHASSABANI, Michael WHALEN and Ivana ČERNÁ

Basic information

Original name

Online Enumeration of All Minimal Inductive Validity Cores

Authors

BENDÍK, Jaroslav (203 Czech Republic, guarantor, belonging to the institution), Elaheh GHASSABANI (840 United States of America), Michael WHALEN (840 United States of America) and Ivana ČERNÁ (203 Czech Republic, belonging to the institution)

Edition

LNCS 10886. Neuveden, Software Engineering and Formal Methods - 16th International Conference, p. 189-204, 16 pp. 2018

Publisher

Springer International Publishing

Other information

Language

English

Type of outcome

Stať ve sborníku

Field of Study

10201 Computer sciences, information science, bioinformatics

Country of publisher

Germany

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

printed version "print"

Impact factor

Impact factor: 0.402 in 2005

RIV identification code

RIV/00216224:14330/18:00101018

Organization unit

Faculty of Informatics

ISBN

978-3-319-92969-9

ISSN

UT WoS

000445248600012

Keywords in English

Inductive Validity Cores;SMT-based model checking;Inductive proofs;Traceability;Proof cores

Tags

International impact, Reviewed
Změněno: 30/4/2019 08:14, RNDr. Pavel Šmerk, Ph.D.

Abstract

V originále

Symbolic model checkers can construct proofs of safety properties over complex models, but when a proof succeeds, the results do not generally provide much insight to the user. Minimal Inductive Validity Cores (MIVCs) trace a property to a minimal set of model elements necessary for constructing a proof, and can help to explain why a property is true of a model. In addition, the traceability information provided by MIVCs can be used to perform a variety of engineering analysis such as coverage analysis, robustness analysis, and vacuity detection. The more MIVCs are identified, the more precisely such analyses can be performed. Nevertheless, a full enumeration of all MIVCs is in general intractable due to the large number of possible model element sets. The bottleneck of existing algorithms is that they are not guaranteed to emit minimal IVCs until the end of the computation, so returned results are not known to be minimal until all solutions are produced. In this paper, we propose an algorithm that identifies MIVCs in an online manner (i.e., one by one) and can be terminated at any time. We benchmark our new algorithm against existing algorithms on a variety of examples, and demonstrate that our algorithm not only is better in intractable cases but also completes the enumeration of MIVCs faster than competing algorithms in many tractable cases.

Links

GA18-02177S, research and development project
Name: Abstrakce a jiné techniky v semi-symbolické verifikaci programů
Investor: Czech Science Foundation
MUNI/A/0854/2017, interní kód MU
Name: Rozsáhlé výpočetní systémy: modely, aplikace a verifikace VII.
Investor: Masaryk University, Category A