Detailed Information on Publication Record
2016
Efficient Model Checking of Weighted CTL with Upper-Bound Constraints
JENSEN, Jonnas F., Kim G. LARSEN, Jiří SRBA and Lars OESTERGAARDBasic information
Original name
Efficient Model Checking of Weighted CTL with Upper-Bound Constraints
Authors
JENSEN, Jonnas F. (208 Denmark), Kim G. LARSEN (208 Denmark), Jiří SRBA (203 Czech Republic, guarantor, belonging to the institution) and Lars OESTERGAARD (208 Denmark)
Edition
International Journal on Software Tools for Technology Transfer (STTT), Springer-Verlag GmbH, 2016, 1433-2779
Other information
Language
English
Type of outcome
Článek v odborném periodiku
Field of Study
10201 Computer sciences, information science, bioinformatics
Country of publisher
Netherlands
Confidentiality degree
není předmětem státního či obchodního tajemství
References:
Impact factor
Impact factor: 1.612
RIV identification code
RIV/00216224:14330/16:00089061
Organization unit
Faculty of Informatics
UT WoS
000379708300005
Keywords in English
CTL model checking; Kripke structure; on-the-fly algorithms; dependency graph
Změněno: 27/4/2017 05:43, RNDr. Pavel Šmerk, Ph.D.
Abstract
V originále
We present a symbolic extension of dependency graphs by Liuand Smolka in order to model-check weighted Kripke structures againstthe logic CTL with upper-bound weight constraints. Our extension introducesa new type of edges into dependency graphs and lifts the computation offixed-points from boolean domain to nonnegative integers in order to copewith the weights. We present both global and local algorithms for thefixed-point computation on symbolic dependency graphs and argue for theadvantages of our approach compared to the direct encoding of the modelchecking problem into dependency graphs. We implement all algorithmsin a publicly available tool prototype and evaluate them on severalexperiments. The principal conclusion is that our local algorithm isthe most efficient one with an order of magnitude improvement formodel checking problems with a high number of `witnesses'.