Software Modeling and Verification


 Sheila Cooper
 2 years ago
 Views:
Transcription
1 Software Modeling and Verification Alessandro Aldini DiSBeF  Sezione STI University of Urbino Carlo Bo Italy 34 February 2015
2 Algorithmic verification Correctness problem Is the software/hardware system correct with respect to the expected requirements? Hard to determine whenever the system is reactive
3 Hardness: what does it mean? Sequentiality vs. Concurrency A sequential program is like a black box taking some inputs and providing appropriate outputs, deterministically (e.g., sort algorithm) A reactive system: interacts with the environment, nondeterministically does not necessarily terminate may be composed of concurrent, interacting components Interactions cause an exponential explosion of the possible behaviors, concurrency and communication introduce new issues (e.g., deadlock and starvation) Example: operating systems
4 A formal approach to verification: why? Formal methods With respect to simulation and testing they provide rigorous answers They are supported by automated tools Foundational ingredients: formal (automata or statetransition based) models and (algebraic) languages for describing reactive systems logics for expressing properties of reactive systems behavioral relations for arguing about correctness
5 Statetransition systems State... describes a configuration of the system in a given instant of time... may be labeled with additional information, like a formal statement specifying the conditions that hold in the state Transition... describes a state change due to the execution of a given event... may be labeled with additional information, like the name of the action representing the executed event
6 Kripke structure Definition Let AP be a set of atomic propositions A Kripke structure is a tuple where S is a finite set of states K = (S, S 0, R, L) S 0 S is the set of initial states R S S is a total transition relation L : S 2 AP is a labeling function that associates each state with the subset of atomic propositions that are true in that state
7 Modeling reactive systems through Kripke structures Firstorder logic representation What does AP represent? Let V = {v 1,..., v n } be the set of system variables Let D 1,..., D n be the corresponding (finite) domains An atomic proposition has the form v i = d i, with d i D i, 1 i n A valuation maps each v i to a value in D i, 1 i n Hence, a state s represents a valuation (it can be expressed as a conjunction of atomic propositions) The transition relation R is a mapping from valuations to valuations (it can be expressed as a disjunctive normal form)
8 Graphical representation Example s 0 s 2 x=0 x=1 s=idle x=0 s=wait s 3 s=ask x=2 s=busy Example of Kripke structure (S, S 0, R, L) s 1 V = {x, s} S 0 = {x = 0 s = i} R is such that: (x = 0 s = i x = 1 s = a) R (x = 1 s = a x = 0 s = w) R (x = 1 s = a x = 2 s = b) R (x = 0 s = w x = 2 s = b) R (x = 2 s = b x = 1 s = b) R (x = 2 s = b x = 2 s = a) R L is such that: L(s 0) = {x = 0 s = i} L(s 1) = {x = 1 s = a} L(s 2) = {x = 0 s = w} L(s 3) = {x = 2 s = b}
9 Kripke structures and logics Definition For any Kripke structure M = (S, S 0, R, L) and formula ψ of any logic: Sat(ψ) = {s S s = ψ} M = ψ iff S 0 Sat(ψ) Example Note: it could be that M = ψ and M = ψ
10 Kripke structures and logics Temporal logics Modal operators are added to classical logics for reasoning about time Wellformed formulas specify properties of computations The process of checking the model against the property is called model checking Example Along a computation... a predicate is always true the system will eventually satisfy a predicate the system exhibits a certain behavior until a predicate holds Which properties? Safety (bad things will not happen), Liveness (good things will eventually happen), Security (cheats will not happen), Reliability (faults may happen, but without negative effects)
11 Computation tree Definition For any Kripke structure M = (S, S 0, R, L) and s S, the computation tree for M starting at s is a tree such that: the root of the tree is s the nodes of the tree are states in S there exists an arc from node s to node s in the tree if and only if (s, s ) R
12 Graphical representation Example Kripke structure Finite prefix of the computation tree rooted at s 0 s 0 s 0 x=0 x=1 s=idle s=ask s 1 s 1 s 2 x=0 s=wait s 3 x=2 s=busy s 2 s 3 s 3 s 1 s
13 Modal operators of temporal logics Temporal operators X (next)... F (eventually)... G (always)... U (until)...
14 Temporal logics: two flavors Expressiveness Shall the logic abstract from the branching structure of the computation tree? If yes, each computation is considered in isolation at each instant of time, only one future is possible (linear time) If not, a branching notion of time is considered... at each instant of time, there may be several different possible futures
15 Linear Temporal Logic: syntax Definition (LTL grammar) ϕ true p ϕ ϕ ϕ Xϕ Fϕ Gϕ ϕuϕ Note: p is any atomic proposition
16 Linear Temporal Logic: semantics Definition The satisfaction relation = for computations π = s 0, s 1,..., s i,... of a Kripke structure M = (S, S 0, R, L) is defined by: a 1 π = true always holds 2 π = p iff p L(π[0]) 3 π = ϕ iff π = ϕ 4 π = ϕ 1 ϕ 2 iff π = ϕ 1 or π = ϕ 2 5 π = X ϕ iff π 1 = ϕ 6 π = F ϕ iff k 0. M, π k = ϕ 7 π = G ϕ iff k 0. M, π k = ϕ 8 π = ϕ 1 U ϕ 2 iff there exists k 0 such that π k = ϕ 2 and for all 0 j < k it holds that π j = ϕ 1 Finally, s = ϕ iff π = ϕ for all π such that π[0] = s a Note: π[i] = s i and π i = s i,...
17 Computation Tree Logic: syntax Definition (CTL grammar) Note: p is any atomic proposition ϕ true p ϕ ϕ ϕ E φ A φ φ Xϕ Fϕ Gϕ ϕuϕ
18 Computation Tree Logic: semantics Definition 1 s = p iff p L(s) 2 s = φ iff s = φ 3 s = φ 1 φ 2 iff s = φ 1 or s = φ 2 4 s = E φ iff there is a path π starting from s such that π = φ 5 s = A φ iff for every path π starting from s it holds that π = φ 6 π = X φ iff π[1] = φ 7 π = φ 1 U φ 2 iff there exists k 0 such that π[k] = φ 2 and for all 0 j < k it holds that π[j] = φ 1
19 Temporal Logics: properties of operators Expressiveness Duality F ψ true U ψ G ψ F ψ A ψ E ψ X ψ X ψ F ψ G ψ G ψ F ψ
20 Temporal Logics: equivalence Definition A CTL formula ϕ is equivalent to a LTL formula ϕ (ϕ ϕ ) if for all Kripke structures M: Results about equivalence M = ϕ iff M = ϕ Given a CTL formula ϕ and the LTL formula ϕ obtained by eliminating any path quantifier from ϕ, we have: 1 either ϕ ϕ 2 or there does not exist any LTL formula equivalent to ϕ CTL and LTL are incomparable: 1 the CTL formula A G (E F p) cannot be expressed in LTL 2 the LTL formula F G p cannot be expressed in CTL
21 Why LTL cannot express A G (E F p) Proof. Assume, by contradiction, ϕ A G (E F p) such that ϕ is a LTL formula M M p M = A G (E F p), hence M = ϕ Hence, since the computations of M are a subset of those of M, it must hold M = ϕ, which is absurd!
22 Why CTL cannot express F G p Example M p p M = F G p, but M = A F A G p... why?
23 Why CTL cannot express F G p Example M p p M = F G p, but M = A F A G p... why? states satisfying p
24 Why CTL cannot express F G p Example M p p M = F G p, but M = A F A G p... why? states satisfying A G p
25 Why CTL cannot express F G p Example M p p M = F G p, but M = A F A G p... why? states satisfying A F A G p
26 Property specification Some formula schema LTL CTL Reachability M = G p M = E F p Unreachability G p A G p (Safety) Conditional reachability q U p A (q U p) Extended reachability No A G E F p Composite reachability F(q X p) No Liveness G(q F p) A G(q A F p) Unconditional fairness G F p A G A F p Strong fairness G F p G F q No Weak fairness F G p G F q No
27 Model checking Problem Given a Kripke structure M = (S, S 0, R, L) and a temporal logic formula f, compute the set: {s S M, s = f } M satisfies f if S 0 is included in the set above
28 CTL based model checking Definition (Model checking algorithm) Define labels(s) to be the set of subformulas of f which are true in s Initialization labels(s) = L(s) i = 1 Repeat 1 take each subformula of f with i 1 nested CTL operators 2 add each of these subformulas to labels(s) for each s in which the subformula holds 3 increment i Until all the subformulas of f, including f itself, are processed Then, M, s = f iff f labels(s)
29 Processing subformulas of f Labeling rules By induction on the structure of the subformulas: 1 atomic proposition p: do not add any label! 2 g 1 : label any state that is not labeled with g 1 3 g 1 g 2 : label any state that is labeled either with g 1 or with g 2 4 E X g 1 : label any state that has some successor labeled with g 1 5 E(g 1 U g 2 ): find all states labeled with g 2 from each of these states, follow backwards the paths along states labeled with g 1 each state that can be reached by such paths is labeled 6 g = E G g 1 (by exercise)
30 Tool support Some model checker SPIN NuSMV PRISM Some examples toy concurrent systems (dining philosophers, sleeping barber,... ) concurrent programs (semantic mapping from programming languages to Kripke structures) realworld complex systems (realtime automotive software, communication protocols, trust and security systems,... )
31 References Christel Baier and JoostPeter Katoen: Principles of Model Checking, The MIT Press, 2008 Michael Huth and Mark Ryan: Logic in Computer Science  Modelling and Reasoning about Systems, Cambridge University Press, 2004
32 Increasing the abstraction level: process algebra What is an algebra?... is any mathematical structure formed by a set of elements together with a collection of operations on these elements and such that the axioms given for the operators are satisfied Example Three operations: +, ;, Seven axioms (equational laws) expressing basic commutativity, associativity, idempotency, and distributivity: P Q = Q P where {+, } P (Q R) = (P Q) R where {+, ;, } P + P = P (P + Q); R = P; R + Q; R Any mathematical structure with these operations satisfying these laws is an algebra
33 Increasing the abstraction level: process algebra From algebra to process algebra Define an algebra over a set of elements describing processes A process refers to the behavior of a system... is the ordered set of events characterizing the behavior
34 Calculi for describing processes Actions represent system activities at a certain level of abstraction can be visible and invisible from the viewpoint of the external environment Operators Map operators ( +, ;, ) to primitives for process specification (alternative external/internal choice among actions, sequential composition of actions, parallel composition of processes possibly communicating synchronously/asynchronously)
35 Semantics: labeled transition systems Interpretation of operators Example Define a formal semantics for operators: P a P P+Q a P a Q Q P+Q a Q If process P can evolve into process P when executing an action a we write: a P P The action relation describes the process as a labeled transition system (LTS) where the states represent processes and the transitions represent the execution of events
36 Example: a producerconsumer system Example ProdCons 0/2 ProdCons 1/2 ProdCons 2/2 def = deposit. ProdCons 1/2 def = deposit. ProdCons 2/2 + withdraw. ProdCons 0/2 def = withdraw. ProdCons 1/2 ProdCons 0/2 deposit withdraw ProdCons 1/2 deposit withdraw ProdCons 2/2
37 Formal verification How to verify system specifications LTSs representing the semantics of processes can be model checked Process terms can be compared through behavioral equivalences... why? comparison between specifications at different abstraction levels (topdown modeling)... substitutivity
38 Usability Even more userfriendly Define on top of process algebra an architectural description language (ADL) that is easytouse and without (almost any) mathematics Map ADL to process algebra (PA) Three abstraction levels: ADL PA LTS What can be mechanized: mappings and verification
39 References Alessandro Aldini, Marco Bernardo, Flavio Corradini: A Process Algebraic Approach to Software Architecture Design, Springer, 2010.
Development of dynamically evolving and selfadaptive software. 1. Background
Development of dynamically evolving and selfadaptive software 1. Background LASER 2013 Isola d Elba, September 2013 Carlo Ghezzi Politecnico di Milano DeepSE Group @ DEIB 1 Requirements Functional requirements
More informationFormal Verification and Lineartime Model Checking
Formal Verification and Lineartime Model Checking Paul Jackson University of Edinburgh Automated Reasoning 21st and 24th October 2013 Why Automated Reasoning? Intellectually stimulating and challenging
More informationAlgorithmic Software Verification
Algorithmic Software Verification (LTL Model Checking) Azadeh Farzan What is Verification Anyway? Proving (in a formal way) that program satisfies a specification written in a logical language. Formal
More informationA Logic Approach for LTL System Modification
A Logic Approach for LTL System Modification Yulin Ding and Yan Zhang School of Computing & Information Technology University of Western Sydney Kingswood, N.S.W. 1797, Australia email: {yding,yan}@cit.uws.edu.au
More informationModel Checking II Temporal Logic Model Checking
1/32 Model Checking II Temporal Logic Model Checking Edmund M Clarke, Jr School of Computer Science Carnegie Mellon University Pittsburgh, PA 15213 2/32 Temporal Logic Model Checking Specification Language:
More informationlogic language, static/dynamic models SAT solvers Verified Software Systems 1 How can we model check of a program or system?
5. LTL, CTL Last part: Alloy logic language, static/dynamic models SAT solvers Today: Temporal Logic (LTL, CTL) Verified Software Systems 1 Overview How can we model check of a program or system? Modeling
More informationModel Checking: An Introduction
Announcements Model Checking: An Introduction Meeting 2 Office hours M 1:30pm2:30pm W 5:30pm6:30pm (after class) and by appointment ECOT 621 Moodle problems? Fundamentals of Programming Languages CSCI
More informationA Propositional Dynamic Logic for CCS Programs
A Propositional Dynamic Logic for CCS Programs Mario R. F. Benevides and L. Menasché Schechter {mario,luis}@cos.ufrj.br Abstract This work presents a Propositional Dynamic Logic in which the programs are
More informationFormal Verification by Model Checking
Formal Verification by Model Checking Natasha Sharygina Carnegie Mellon University Guest Lectures at the Analysis of Software Artifacts Class, Spring 2005 1 Outline Lecture 1: Overview of Model Checking
More informationTemporal Logics. Computation Tree Logic
Temporal Logics CTL: definition, relationship between operators, adequate sets, specifying properties, safety/liveness/fairness Modeling: sequential, concurrent systems; maximum parallelism/interleaving
More informationSoftware Verification and Testing. Lecture Notes: Temporal Logics
Software Verification and Testing Lecture Notes: Temporal Logics Motivation traditional programs (whether terminating or nonterminating) can be modelled as relations are analysed wrt their input/output
More informationT79.186 Reactive Systems: Introduction and Finite State Automata
T79.186 Reactive Systems: Introduction and Finite State Automata Timo Latvala 14.1.2004 Reactive Systems: Introduction and Finite State Automata 11 Reactive Systems Reactive systems are a class of software
More informationIntroduction to Software Verification
Introduction to Software Verification Orna Grumberg Lectures Material winter 201314 Lecture 4 5.11.13 Model Checking Automated formal verification: A different approach to formal verification Model Checking
More informationTesting LTL Formula Translation into Büchi Automata
Testing LTL Formula Translation into Büchi Automata Heikki Tauriainen and Keijo Heljanko Helsinki University of Technology, Laboratory for Theoretical Computer Science, P. O. Box 5400, FIN02015 HUT, Finland
More informationFixedPoint Logics and Computation
1 FixedPoint Logics and Computation Symposium on the Unusual Effectiveness of Logic in Computer Science University of Cambridge 2 Mathematical Logic Mathematical logic seeks to formalise the process of
More informationToday s Agenda. Automata and Logic. Quiz 4 Temporal Logic. Introduction Buchi Automata Linear Time Logic Summary
Today s Agenda Quiz 4 Temporal Logic Formal Methods in Software Engineering 1 Automata and Logic Introduction Buchi Automata Linear Time Logic Summary Formal Methods in Software Engineering 2 1 Buchi Automata
More informationModel checking test models. Author: Kevin de Berk Supervisors: Prof. dr. Wan Fokkink, dr. ir. Machiel van der Bijl
Model checking test models Author: Kevin de Berk Supervisors: Prof. dr. Wan Fokkink, dr. ir. Machiel van der Bijl February 14, 2014 Abstract This thesis is about model checking testing models. These testing
More informationFrom Workflow Design Patterns to Logical Specifications
AUTOMATYKA/ AUTOMATICS 2013 Vol. 17 No. 1 http://dx.doi.org/10.7494/automat.2013.17.1.59 Rados³aw Klimek* From Workflow Design Patterns to Logical Specifications 1. Introduction Formal methods in software
More informationAutomatabased Verification  I
CS3172: Advanced Algorithms Automatabased Verification  I Howard Barringer Room KB2.20: email: howard.barringer@manchester.ac.uk March 2006 Supporting and Background Material Copies of key slides (already
More informationA computational model for MapReduce job flow
A computational model for MapReduce job flow Tommaso Di Noia, Marina Mongiello, Eugenio Di Sciascio Dipartimento di Ingegneria Elettrica e Dell informazione Politecnico di Bari Via E. Orabona, 4 70125
More informationUsing Patterns and Composite Propositions to Automate the Generation of Complex LTL
University of Texas at El Paso DigitalCommons@UTEP Departmental Technical Reports (CS) Department of Computer Science 812007 Using Patterns and Composite Propositions to Automate the Generation of Complex
More informationFormal Verification of Software
Formal Verification of Software Sabine Broda Department of Computer Science/FCUP 12 de Novembro de 2014 Sabine Broda (DCCFCUP) Formal Verification of Software 12 de Novembro de 2014 1 / 26 Formal Verification
More informationStatic Program Transformations for Efficient Software Model Checking
Static Program Transformations for Efficient Software Model Checking Shobha Vasudevan Jacob Abraham The University of Texas at Austin Dependable Systems Large and complex systems Software faults are major
More informationSchedule. Logic (master program) Literature & Online Material. gic. Time and Place. Literature. Exercises & Exam. Online Material
OLC mputational gic Schedule Time and Place Thursday, 8:15 9:45, HS E Logic (master program) Georg Moser Institute of Computer Science @ UIBK week 1 October 2 week 8 November 20 week 2 October 9 week 9
More informationHECTOR a software model checker with cooperating analysis plugins. Nathaniel Charlton and Michael Huth Imperial College London
HECTOR a software model checker with cooperating analysis plugins Nathaniel Charlton and Michael Huth Imperial College London Introduction HECTOR targets imperative heapmanipulating programs uses abstraction
More informationOverview Motivating Examples Interleaving Model Semantics of Correctness Testing, Debugging, and Verification
Introduction Overview Motivating Examples Interleaving Model Semantics of Correctness Testing, Debugging, and Verification Advanced Topics in Software Engineering 1 Concurrent Programs Characterized by
More informationOn the Modeling and Verification of SecurityAware and ProcessAware Information Systems
On the Modeling and Verification of SecurityAware and ProcessAware Information Systems 29 August 2011 What are workflows to us? Plans or schedules that map users or resources to tasks Such mappings may
More informationhttp://aejm.ca Journal of Mathematics http://rema.ca Volume 1, Number 1, Summer 2006 pp. 69 86
Atlantic Electronic http://aejm.ca Journal of Mathematics http://rema.ca Volume 1, Number 1, Summer 2006 pp. 69 86 AUTOMATED RECOGNITION OF STUTTER INVARIANCE OF LTL FORMULAS Jeffrey Dallien 1 and Wendy
More informationFoundational Proof Certificates
An application of proof theory to computer science INRIASaclay & LIX, École Polytechnique CUSO Winter School, Proof and Computation 30 January 2013 Can we standardize, communicate, and trust formal proofs?
More informationAutomated Route Planning for MilkRun Transport Logistics with the NuSMV Model Checker
IEICE TRANS. INF. & SYST., VOL.E96 D, NO.12 DECEMBER 2013 2555 PAPER Special Section on Parallel and Distributed Computing and Networking Automated Route Planning for MilkRun Transport Logistics with
More informationCHAPTER 7 GENERAL PROOF SYSTEMS
CHAPTER 7 GENERAL PROOF SYSTEMS 1 Introduction Proof systems are built to prove statements. They can be thought as an inference machine with special statements, called provable statements, or sometimes
More informationValidated Templates for Specification of Complex LTL Formulas
Validated Templates for Specification of Complex LTL Formulas Salamah Salamah Department of Electrical, computer, Software, and Systems Engineering Embry Riddle Aeronautical University 600 S. Clyde Morris
More informationVerification of multiagent systems via ordered binary decision diagrams: an algorithm and its implementation
Verification of multiagent systems via ordered binary decision diagrams: an algorithm and its implementation Franco Raimondi Alessio Lomuscio Department of Computer Science King s College London London
More informationA first step towards modeling semistructured data in hybrid multimodal logic
A first step towards modeling semistructured data in hybrid multimodal logic Nicole Bidoit * Serenella Cerrito ** Virginie Thion * * LRI UMR CNRS 8623, Université Paris 11, Centre d Orsay. ** LaMI UMR
More informationModel Checking based Software Verification
Model Checking based Software Verification 18.52006 Keijo Heljanko Keijo.Heljanko@tkk.fi Department of Computer Science and Engineering Helsinki University of Technology http://www.tcs.tkk.fi/~kepa/ 1/24
More informationDevelopment of global specification for dynamically adaptive software
Development of global specification for dynamically adaptive software Yongwang Zhao School of Computer Science & Engineering Beihang University zhaoyw@act.buaa.edu.cn 22/02/2013 1 2 About me Assistant
More informationCS510 Software Engineering
CS510 Software Engineering Propositional Logic Asst. Prof. Mathias Payer Department of Computer Science Purdue University TA: Scott A. Carr Slides inspired by Xiangyu Zhang http://nebelwelt.net/teaching/15cs510se
More informationMODEL CHECKING CONCURRENT AND REALTIME SYSTEMS: THE PAT APPROACH. LIU YANG (B.Sc. (Hons.), NUS)
MODEL CHECKING CONCURRENT AND REALTIME SYSTEMS: THE PAT APPROACH LIU YANG (B.Sc. (Hons.), NUS) A THESIS SUBMITTED FOR THE DEGREE OF DOCTOR OF PHILOSOPHY DEPARTMENT OF COMPUTER SCIENCE NATIONAL UNIVERSITY
More informationWhich Semantics for Neighbourhood Semantics?
Which Semantics for Neighbourhood Semantics? Carlos Areces INRIA Nancy, Grand Est, France Diego Figueira INRIA, LSV, ENS Cachan, France Abstract In this article we discuss two alternative proposals for
More informationTest Case Generation for Ultimately Periodic Paths Joint work with Saddek Bensalem Hongyang Qu Stavros Tripakis Lenore Zuck Accepted to HVC 2007 How to find the condition to execute a path? (weakest precondition
More informationPlanSpace Search. Searching for a Solution Plan in a Graph of Partial Plans
PlanSpace Search Searching for a Solution Plan in a Graph of Partial Plans Literature Malik Ghallab, Dana Nau, and Paolo Traverso. Automated Planning Theory and Practice, chapter 2 and 5. Elsevier/Morgan
More informationSoftware Engineering using Formal Methods
Software Engineering using Formal Methods Model Checking with Temporal Logic Wolfgang Ahrendt 24th September 2013 SEFM: Model Checking with Temporal Logic /GU 130924 1 / 33 Model Checking with Spin model
More informationCS Master Level Courses and Areas COURSE DESCRIPTIONS. CSCI 521 RealTime Systems. CSCI 522 High Performance Computing
CS Master Level Courses and Areas The graduate courses offered may change over time, in response to new developments in computer science and the interests of faculty and students; the list of graduate
More informationSemantics and Verification of Software
Semantics and Verification of Software Lecture 21: Nondeterminism and Parallelism IV (Equivalence of CCS Processes & WrapUp) Thomas Noll Lehrstuhl für Informatik 2 (Software Modeling and Verification)
More informationModule 7. Software Engineering Issues. Version 2 EE IIT, Kharagpur 1
Module 7 Software Engineering Issues Version 2 EE IIT, Kharagpur 1 Lesson 34 Requirements Analysis and Specification Version 2 EE IIT, Kharagpur 2 Specific Instructional Objectives At the end of this lesson,
More informationModel Checking LTL Properties over C Programs with Bounded Traces
Noname manuscript No. (will be inserted by the editor) Model Checking LTL Properties over C Programs with Bounded Traces Jeremy Morse 1, Lucas Cordeiro 2, Denis Nicole 1, Bernd Fischer 1,3 1 Electronics
More informationCSE 459/598: Logic for Computer Scientists (Spring 2012)
CSE 459/598: Logic for Computer Scientists (Spring 2012) Time and Place: T Th 10:3011:45 a.m., M109 Instructor: Joohyung Lee (joolee@asu.edu) Instructor s Office Hours: T Th 4:305:30 p.m. and by appointment
More informationLecture 13 of 41. More Propositional and Predicate Logic
Lecture 13 of 41 More Propositional and Predicate Logic Monday, 20 September 2004 William H. Hsu, KSU http://www.kddresearch.org http://www.cis.ksu.edu/~bhsu Reading: Sections 8.18.3, Russell and Norvig
More informationFundamentals of Software Engineering
Fundamentals of Software Engineering Model Checking with Temporal Logic Ina Schaefer Institute for Software Systems Engineering TU Braunschweig, Germany Slides by Wolfgang Ahrendt, Richard Bubel, Reiner
More informationFormal verification of contracts for synchronous software components using NuSMV
Formal verification of contracts for synchronous software components using NuSMV Tobias Polzer Lehrstuhl für Informatik 8 Bachelorarbeit 13.05.2014 1 / 19 Problem description and goals Problem description
More informationCISC422/853: Formal Methods
Outline CISC422/853: Formal Methods in Software Engineering: ComputerAided Verification Topic 7: Specifying, or How to Describe How the System Should (or Should Not) Behave Juergen Dingel Feb, 2009 Readings:
More informationFormal Engineering for Industrial Software Development
Shaoying Liu Formal Engineering for Industrial Software Development Using the SOFL Method With 90 Figures and 30 Tables Springer Contents Introduction 1 1.1 Software Life Cycle... 2 1.2 The Problem 4 1.3
More informationFabio Patrizi DIS Sapienza  University of Rome
Fabio Patrizi DIS Sapienza  University of Rome Overview Introduction to Services The Composition Problem Two frameworks for composition: Non dataaware services Dataaware services Conclusion & Research
More informationOptimizing Description Logic Subsumption
Topics in Knowledge Representation and Reasoning Optimizing Description Logic Subsumption Maryam FazelZarandi Company Department of Computer Science University of Toronto Outline Introduction Optimization
More informationSoftware Model Checking: Theory and Practice
Software Model Checking: Theory and Practice Lecture: Specification Checking  LTL Model Checking Copyright 2004, Matt Dwyer, John Hatcliff, and Robby. The syllabus and all lectures for this course are
More informationThe Course. http://www.cse.unsw.edu.au/~cs3153/
The Course http://www.cse.unsw.edu.au/~cs3153/ Lecturers Dr Peter Höfner NICTA L5 building Prof Rob van Glabbeek NICTA L5 building Dr Ralf Huuck NICTA ATP building 2 Plan/Schedule (1) Where and When Tuesday,
More informationAutomataBased Verification of Temporal Properties on Running Programs Dimitra Giannakopoulou Klaus Havelund
AutomataBased Verification of Temporal Properties on Running Programs Dimitra Giannakopoulou Klaus Havelund RIACS Technical Report 01.21 August 2001 Presented at the 16 th IEEE International Conference
More informationLanguageoriented Software Development and Rewriting Logic
Languageoriented Software Development and Rewriting Logic Christiano Braga cbraga@ic.uff.br http://www.ic.uff.br/ cbraga Universidade Federal Fluminense (UFF) Languageoriented Software Development and
More informationAlgebraic Recognizability of Languages
of Languages LaBRI, Université Bordeaux1 and CNRS MFCS Conference, Prague, August 2004 The general problem Problem: to specify and analyse infinite sets by finite means The general problem Problem: to
More information4 Domain Relational Calculus
4 Domain Relational Calculus We now present two relational calculi that we will compare to RA. First, what is the difference between an algebra and a calculus? The usual story is that the algebra RA is
More informationGoalDriven Adaptable Software Architecture for UAVs
SEAS DTC Annual Technical Conference 2008 GoalDriven Adaptable Software Architecture for UAVs William Heaven, Daniel Sykes, Jeff Magee, Jeff Kramer SER001 Imperial College London The Challenge Autonomous
More informationCombining Software and Hardware Verification Techniques
Formal Methods in System Design, 21, 251 280, 2002 c 2002 Kluwer Academic Publishers. Manufactured in The Netherlands. Combining Software and Hardware Verification Techniques ROBERT P. KURSHAN VLADIMIR
More informationtutorial: hardware and software model checking
tutorial: hardware and software model checking gerard holzmann and anuj puri { gerard anuj } @research.belllabs.com Bell Labs, USA outline introduction (15 mins) theory and algorithms system modeling
More informationToward ModelBased Verification of Adaptive Allocation Managers
Toward ModelBased Verification of Adaptive Allocation Managers William Leal, Frank Drews, Chang Liu, Lonnie Welch Ohio University { leal@cs.ohiou.edu, drews@ohiou.edu, changliu@cs.ohiou.edu, welch@ohio.edu
More informationThe Common Fragment of ACTL and LTL
The Common Fragment of ACTL and LTL Miko laj Bojańczyk Warsaw University Abstract. The paper explores the relationship between tree languages definable in LTL, CTL, and ACTL, the fragment of CTL where
More informationPath Querying on Graph Databases
Path Querying on Graph Databases Jelle Hellings Hasselt University and transnational University of Limburg 1/38 Overview Graph Databases Motivation Walk Logic Relations with FO and MSO Relations with CTL
More informationTrading Security with Quality of Experience
Trading Security with Quality of Experience Alessandro Aldini University of Urbino Carlo Bo, Italy Dagstuhl Seminar 12481, Quantitative Security Analysis Outline 1 Introduction 2 Security vs. performability
More informationCoverability for Parallel Programs
2015 http://excel.fit.vutbr.cz Coverability for Parallel Programs Lenka Turoňová* Abstract We improve existing method for the automatic verification of systems with parallel running processes. The technique
More informationSoftware Model Checking. Equivalence Hierarchy
Software Equivalence Hierarchy Moonzoo Kim CS Dept. KAIST CS750B Software Korea Advanced Institute of Science and Technology Equivalence semantics and SW design Preliminary Hierarchy Diagram Tracebased
More informationHandout #1: Mathematical Reasoning
Math 101 Rumbos Spring 2010 1 Handout #1: Mathematical Reasoning 1 Propositional Logic A proposition is a mathematical statement that it is either true or false; that is, a statement whose certainty or
More informationA Classification of Model Checkingbased Verification Approaches for Software Models
A Classification of Model Checkingbased Verification Approaches for Software Models Petra Brosch, Sebastian Gabmeyer, Martina Seidl Sebastian Gabmeyer Business Informatics Group Institute of Software
More informationVerifying Specifications with Proof Scores in CafeOBJ
Verifying Specifications with Proof Scores in CafeOBJ FUTATSUGI, Kokichi 二 木 厚 吉 Chair of Language Design Graduate School of Information Science Japan Advanced Institute of Science and Technology (JAIST)
More informationConcurrent Programming
Concurrent Programming Principles and Practice Gregory R. Andrews The University of Arizona Technische Hochschule Darmstadt FACHBEREICH INFCRMATIK BIBLIOTHEK InventarNr.:..ZP.vAh... Sachgebiete:..?r.:..\).
More informationTechnical Report. Machine learning and automated theorem proving. James P. Bridge. Number 792. November Computer Laboratory
Technical Report UCAMCLTR792 ISSN 14762986 Number 792 Computer Laboratory Machine learning and automated theorem proving James P. Bridge November 2010 15 JJ Thomson Avenue Cambridge CB3 0FD United
More informationLTL Model Checking with Logic Based Petri Nets
LTL Model Checking with Logic Based Petri Nets Tristan M. Behrens and Jürgen Dix IfI Technical Report Series IfI0704 Impressum Publisher: Institut für Informatik, Technische Universität Clausthal JuliusAlbert
More informationIntroducing Formal Methods. Software Engineering and Formal Methods
Introducing Formal Methods Formal Methods for Software Specification and Analysis: An Overview 1 Software Engineering and Formal Methods Every Software engineering methodology is based on a recommended
More informationComputational Logic and Cognitive Science: An Overview
Computational Logic and Cognitive Science: An Overview Session 1: Logical Foundations Technical University of Dresden 25th of August, 2008 University of Osnabrück Who we are Helmar Gust Interests: Analogical
More informationMetaGame: An Animation Tool for ModelChecking Games
MetaGame: An Animation Tool for ModelChecking Games Markus MüllerOlm 1 and Haiseung Yoo 2 1 FernUniversität in Hagen, Fachbereich Informatik, LG PI 5 Universitätsstr. 1, 58097 Hagen, Germany mmo@ls5.informatik.unidortmund.de
More informationEastern Washington University Department of Computer Science. Questionnaire for Prospective Masters in Computer Science Students
Eastern Washington University Department of Computer Science Questionnaire for Prospective Masters in Computer Science Students I. Personal Information Name: Last First M.I. Mailing Address: Permanent
More informationPrimal Infon Logic with Conjunctions as Sets
Primal Infon Logic with Conjunctions as Sets Carlos Cotrini 1 Yuri Gurevich 2 Ori Lahav 3 Artem Melentyev 4 1 Swiss Federal Institute of Technology, Switzerland 2 Microsoft Research, USA 3 Tel Aviv University,
More informationA Framework for the Semantics of Behavioral Contracts
A Framework for the Semantics of Behavioral Contracts Ashley McNeile Metamaxim Ltd, 48 Brunswick Gardens, London W8 4AN, UK ashley.mcneile@metamaxim.com Abstract. Contracts have proved a powerful concept
More informationSummary Last Lecture. Automated Reasoning. Outline of the Lecture. Definition sequent calculus. Theorem (Normalisation and Strong Normalisation)
Summary Summary Last Lecture sequent calculus Automated Reasoning Georg Moser Institute of Computer Science @ UIBK Winter 013 (Normalisation and Strong Normalisation) let Π be a proof in minimal logic
More informationFormal Specification and Verification
Formal Specification and Verification Stefan Ratschan Katedra číslicového návrhu Fakulta informačních technologíı České vysoké učení technické v Praze 2. 5. 2011 Stefan Ratschan (FIT ČVUT) PIPSC 4 2.
More informationTEACHING MODEL CHECKING TO UNDERGRADUATES
STUDIA UNIV. BABEŞ BOLYAI, INFORMATICA, Volume LV, Number 3, 2010 TEACHING MODEL CHECKING TO UNDERGRADUATES A.VESCAN AND M. FRENŢIU Abstract. The way program verification is taught in our faculty is firstly
More informationBusiness Process Verification: The Application of Model Checking and Timed Automata
Business Process Verification: The Application of Model Checking and Timed Automata Luis E. Mendoza Morales Processes and Systems Department, Simón Bolívar University, P.O. box 89000, Baruta, Venezuela,
More informationBisimulation and Logical Preservation for ContinuousTime Markov Decision Processes
Bisimulation and Logical Preservation for ContinuousTime Markov Decision Processes Martin R. Neuhäußer 1,2 JoostPieter Katoen 1,2 1 RWTH Aachen University, Germany 2 University of Twente, The Netherlands
More informationSystem modeling. Budapest University of Technology and Economics Department of Measurement and Information Systems
System modeling Business process modeling how to do it right Partially based on Process AntiPatterns: How to Avoid the Common Traps of Business Process Modeling, J Koehler, J Vanhatalo, IBM Zürich, 2007.
More informationRuntime Verification  Monitororiented Programming  Monitorbased Runtime Reflection
Runtime Verification  Monitororiented Programming  Monitorbased Runtime Reflection Martin Leucker Technische Universität München (joint work with Andreas Bauer, Christian Schallhart et. al) FLACOS
More information2 Temporal Logic Model Checking
Bounded Model Checking Using Satisfiability Solving Edmund Clarke 1, Armin Biere 2, Richard Raimi 3, and Yunshan Zhu 4 1 Computer Science Department, CMU, 5000 Forbes Avenue Pittsburgh, PA 15213, USA,
More informationAikaterini Marazopoulou
Imperial College London Department of Computing Tableau Compiled Labelled Deductive Systems with an application to Description Logics by Aikaterini Marazopoulou Submitted in partial fulfilment of the requirements
More informationModelChecking Verification for Reliable Web Service
ModelChecking Verification for Reliable Web Service Shin NAKAJIMA Hosei University and PRESTO, JST nkjm@i.hosei.ac.jp Abstract Modelchecking is a promising technique for the verification and validation
More informationXML Data Integration
XML Data Integration Lucja Kot Cornell University 11 November 2010 Lucja Kot (Cornell University) XML Data Integration 11 November 2010 1 / 42 Introduction Data Integration and Query Answering A data integration
More informationModular Verification of Dynamically Adaptive Systems
Modular Verification of Dynamically Adaptive Systems Ji Zhang, Heather J. Goldsby, and Betty H.C. Cheng Department of Computer Science and Engineering, Michigan State University East Lansing, Michigan,
More informationFormal Verification of Computer Systems  (INFOF412)
Formal Verification of Computer Systems  (INFOF412) Thierry Massart Université Libre de Bruxelles Département d Informatique February 2013 Acknowledgment I want to thank Edmund Clarke, Keijo Heljanko,
More informationQuick Start Guide. June 3, 2012
The ERIGONE Model Checker Quick Start Guide Mordechai (Moti) BenAri Department of Science Teaching Weizmann Institute of Science Rehovot 76100 Israel http://stwww.weizmann.ac.il/gcs/benari/ June 3, 2012
More informationAccess Control Models Part I. Murat Kantarcioglu UT Dallas
UT DALLAS Erik Jonsson School of Engineering & Computer Science Access Control Models Part I Murat Kantarcioglu UT Dallas Introduction Two main categories: Discretionary Access Control Models (DAC) Definition:
More informationSoftware Engineering. How does software fail? Terminology CS / COE 1530
Software Engineering CS / COE 1530 Testing How does software fail? Wrong requirement: not what the customer wants Missing requirement Requirement impossible to implement Faulty design Faulty code Improperly
More informationContextBounded Model Checking of LTL Properties for ANSIC Software. Jeremy Morse, Lucas Cordeiro, Bernd Fischer, Denis Nicole
ContextBounded Model Checking of LTL Properties for ANSIC Software Jeremy Morse, Lucas Cordeiro, Bernd Fischer, Denis Nicole Model Checking C Model checking: normally applied to formal state transition
More informationUniversity of Ostrava. Reasoning in Description Logic with Semantic Tableau Binary Trees
University of Ostrava Institute for Research and Applications of Fuzzy Modeling Reasoning in Description Logic with Semantic Tableau Binary Trees Alena Lukasová Research report No. 63 2005 Submitted/to
More informationProgram Monitoring with LTL in EAGLE
Howard Barringer University of Manchester, England Program Monitoring with LTL in EAGLE Allen Goldberg, Klaus Havelund Kestrel Technology, NASA Ames Research Center, USA Koushik Sen University of Illinois,
More information