Detailed Information on Publication Record
2018
Online Enumeration of All Minimal Inductive Validity Cores
BENDÍK, Jaroslav, Elaheh GHASSABANI, Michael WHALEN and Ivana ČERNÁBasic 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 |
| ||
MUNI/A/0854/2017, interní kód MU |
|