Static Analysis of Software: The Abstract Interpretation

340 Pages·2011·19.03 MB·English

by  Jean-Louis Boulanger

Static Analysis of Software

www.it-ebooks.info
Static Analysis
of Software
The Abstract Interpretation

Edited by
Jean-Louis Boulanger

www.it-ebooks.info
First published 2012 in Great Britain and the United States by ISTE Ltd and John Wiley & Sons,
Inc.Adapted and updated from Utilisationsindustrielles des techniques formelles : interprétationabstraite
published 2011 in France by Hermes Science/Lavoisier © LAVOISIER 2011
Apart from any fair dealing for the purposes of research or private study, or criticism or review, as
permitted under the Copyright, Designs and Patents Act 1988, this publication may only be reproduced,
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The rights of Jean-Louis Boulanger to be identified as the author of this work have been asserted by him
in accordance with the Copyright, Designs and Patents Act 1988.
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Library of Congress Cataloging-in-Publication Data

Static analysis of software : the abstract interpretation / edited by Jean-Louis Boulanger.
p. cm.
Includes bibliographical references and index.
ISBN 978-1-84821-320-3
1. Computer software--Testing. 2. Debugging in computer science. 3. Computer software--Quality
control. I. Boulanger, Jean-Louis.
QA76.76.T48S75 2011
005.1'4--dc23
2011039611

British Library Cataloguing-in-Publication Data
A CIP record for this book is available from the British Library
ISBN: 978-1-84821-320-3
Printed and bound in Great Britain by CPI Group (UK) Ltd., Croydon, Surrey CR0 4YY

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Table of Contents
Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . xi
Jean-LouisBoulanger
Chapter1.FormalTechniquesforVerificationandValidation . . . . . . . 1
Jean-LouisBOULANGER
1.1.Introduction. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1
1.2.Realizationofasoftwareapplication. . . . . . . . . . . . . . . . . . . . . 1
1.3.Characteristicsofasoftwareapplication. . . . . . . . . . . . . . . . . . . 3
1.4.Realizationcycle . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4
1.4.1.CycleinVandotherrealizationcycles. . . . . . . . . . . . . . . . . 4
1.4.2.Qualitycontrol(theimpactofISOstandard9001) . . . . . . . . . . 7
1.4.3.Verificationandvalidation . . . . . . . . . . . . . . . . . . . . . . . . 9
1.5.Techniques,methodsandpractices. . . . . . . . . . . . . . . . . . . . . . 13
1.5.1.Staticverification. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13
1.5.2.Dynamicverification. . . . . . . . . . . . . . . . . . . . . . . . . . . . 35
1.5.3.Validation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39
1.6.Newissueswithverificationandvalidation. . . . . . . . . . . . . . . . . 39
1.7.Conclusion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41
1.8.Bibliography . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42
Chapter2.Airbus:FormalVerificationinAvionics. . . . . . . . . . . . . . . 45
JeanSouyris,DavidDELMASandStéphaneDUPRAT
2.1.Industrialcontext . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45
2.1.1.Avionicsystems. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45
2.1.2.Afewexamples. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46
2.1.3.Regulatoryframework. . . . . . . . . . . . . . . . . . . . . . . . . . . 47
2.1.4.Avionicfunctions. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47
2.1.5.Developmentofavionicslevels . . . . . . . . . . . . . . . . . . . . . 50
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2.2.Twomethodsforformalverification. . . . . . . . . . . . . . . . . . . . . 52
2.2.1.Generalprincipleofprogramproof . . . . . . . . . . . . . . . . . . . 53
2.2.2.Staticanalysisbyabstractinterpretation . . . . . . . . . . . . . . . . 54
2.2.3.Programproofbycalculationoftheweakestprecondition . . . . . 61
2.3.Fourformalverificationtools . . . . . . . . . . . . . . . . . . . . . . . . . 66
2.3.1.Caveat . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66
2.3.2.Proofoftheabsenceofrun-timeerrors:Astrée . . . . . . . . . . . . 68
2.3.3.Stabilityandnumericalprecision:Fluctuat. . . . . . . . . . . . . . . 73
2.3.4.Calculationoftheworstcaseexecutiontime:
aiT(AbsIntGmbH) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 78
2.4.Examplesofindustrialuse. . . . . . . . . . . . . . . . . . . . . . . . . . . 80
2.4.1.UnitaryProof(verificationoflowlevelrequirements) . . . . . . . . . 80
2.4.2.Thecalculationofworstcaseexecutiontime . . . . . . . . . . . . . 97
2.4.3.Proofoftheabsenceofrun-timeerrors. . . . . . . . . . . . . . . . . 103
2.6.Bibliography . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 109
Chapter3.Polyspace . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 113
PatrickMUNIER
3.1.Overview . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 113
3.2.Introductiontosoftwarequalityandverificationprocedures. . . . . . . 114
3.3.Staticanalysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 116
3.4.Dynamictests . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 116
3.5.Abstractinterpretation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 117
3.6.Codeverification . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 118
3.7.Robustnessverificationorcontextualverification. . . . . . . . . . . . . 121
3.7.1.Robustnessverifications. . . . . . . . . . . . . . . . . . . . . . . . . . 122
3.7.2.Contextualverification. . . . . . . . . . . . . . . . . . . . . . . . . . . 122
3.8.ExamplesofPolyspace®results. . . . . . . . . . . . . . . . . . . . . . . . 123
3.8.1.Exampleofsafecode . . . . . . . . . . . . . . . . . . . . . . . . . . . 123
3.8.2.Example:dereferencingofapointeroutsideitsbounds . . . . . . . 125
3.8.3.Example:inter-proceduralcalls . . . . . . . . . . . . . . . . . . . . . 126
3.9.CarryingoutacodeverificationwithPolyspace. . . . . . . . . . . . . . 128
3.10.UseofPolyspace®canimprovethequalityofembeddedsoftware . . 130
3.10.1.Beginbyestablishingmodelsandobjectivesforsoftware
quality . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 130
3.10.2.Exampleofasoftwarequalitymodelwithobjectives. . . . . . . . 130
3.10.3.Useofasubsetoflanguagestosatisfycodingrules. . . . . . . . . 132
3.10.4.UseofPolyspace®toreachsoftwarequalityobjectives . . . . . . 133
3.11.CarryingoutcertificationwithPolyspace® . . . . . . . . . . . . . . . . 135
3.12.Thecreationofcriticalonboardsoftware . . . . . . . . . . . . . . . . . 135
3.13.ConcreteusesofPolyspace®. . . . . . . . . . . . . . . . . . . . . . . . . 135
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3.13.1.Automobile:Cumminsenginesimprovesthereliability
ofitsmotor’scontrollers . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 136
3.13.2.Aerospace:EADSguaranteesthereliabilityofsatellite
launches . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 137
3.13.3.Medicaldevices:acodeanalysisleadstoarecall
ofthedevice. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 138
3.13.4.OtherexamplesoftheuseofPolyspace® . . . . . . . . . . . . . . . 139
3.14.Conclusion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 141
3.15.Bibliography . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 141
Chapter4.SoftwareRobustnesswithRegardstoDysfunctional
ValuesfromStaticAnalysis. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 143
ChristèleFAURE,Jean-LouisBOULANGERandSamyAÏTKACI
4.1.Introduction. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 143
4.2.Normativecontext. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 144
4.3.Elaborationoftheproofoftherobustnessmethod. . . . . . . . . . . . . 146
4.4.Generaldescriptionofthemethod . . . . . . . . . . . . . . . . . . . . . . 151
4.4.1.Requiredoreffectivevaluecontrol . . . . . . . . . . . . . . . . . . . 151
4.4.2.Computationoftherequiredcontrol. . . . . . . . . . . . . . . . . . . 154
4.4.3.Verificationofeffectivecontrol . . . . . . . . . . . . . . . . . . . . . 155
4.5.Computationofthecontrolrequired . . . . . . . . . . . . . . . . . . . . . 157
4.5.1.Identificationofproduction/consumptionofinputs. . . . . . . . . . 159
4.5.2.Computationofvaluedomains. . . . . . . . . . . . . . . . . . . . . . 160
4.6.Verificationoftheeffectivecontrolofanindustrialapplication. . . . . 161
4.6.1.Targetsoftware . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 161
4.6.2.Implementation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 163
4.6.3.Results . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 169
4.7.Discussionandviewpoints. . . . . . . . . . . . . . . . . . . . . . . . . . . 172
4.8.Conclusion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 173
4.9.Bibliography . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 174
Chapter5.CodePeer–BeyondBug-findingwithStaticAnalysis . . . . . . 177
SteveBAIRD,ArnaudCHARLET,YannickMOYandTuckerTAFT
5.1.PositioningofCodePeer . . . . . . . . . . . . . . . . . . . . . . . . . . . . 177
5.1.1.Mixingstaticcheckingandcodeunderstanding . . . . . . . . . . . 177
5.1.2.Generatingcontractsbyabstractinterpretation . . . . . . . . . . . . 179
5.2.AtourofCodePeercapabilities. . . . . . . . . . . . . . . . . . . . . . . . 182
5.2.1.Finddefectsincode . . . . . . . . . . . . . . . . . . . . . . . . . . . . 182
5.2.2.Usingannotationsforcodereviews . . . . . . . . . . . . . . . . . . . 184
5.2.3.Categorizationofmessages. . . . . . . . . . . . . . . . . . . . . . . . 186
5.2.4.Helpwritingrun-timetests . . . . . . . . . . . . . . . . . . . . . . . . 187
5.2.5.Differentkindsofoutput . . . . . . . . . . . . . . . . . . . . . . . . . 188
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viii StaticAnalysisofSoftware
5.3.CodePeer’sinnerworking . . . . . . . . . . . . . . . . . . . . . . . . . . . 188
5.3.1.Overview . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 188
5.3.2.FromAdatoSCIL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 191
5.3.3.Objectidentification . . . . . . . . . . . . . . . . . . . . . . . . . . . . 193
5.3.4.Staticsingleassignmentandglobalvaluenumbering . . . . . . . . 195
5.3.5.Possiblevaluepropagation . . . . . . . . . . . . . . . . . . . . . . . . 200
5.4.Conclusions. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 204
5.5.Bibiliography. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 205
Chapter6.FormalMethodsandCompliancetothe
DO-178C/ED-12CStandardinAeronautics. . . . . . . . . . . . . . . . . . . . 207
EmmanuelLEDINOTandDillonPARIENTE
6.1.Introduction. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 207
6.2.PrinciplesoftheDO-178/ED-12standard. . . . . . . . . . . . . . . . . . 208
6.2.1.Inputsofthesoftwaredevelopmentprocess . . . . . . . . . . . . . . 208
6.2.2.Prescriptionofobjectives . . . . . . . . . . . . . . . . . . . . . . . . . 209
6.3.Verificationprocess. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 212
6.4.Theformalmethodstechnicalsupplement . . . . . . . . . . . . . . . . . 218
6.4.1.Classesofformalmethods . . . . . . . . . . . . . . . . . . . . . . . . 219
6.4.2.BenefitsofformalmethodstomeetDO-178C/ED-12C
objectives . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 221
6.4.3.Verificationoftheexecutablecodeatthesourcelevel. . . . . . . . 223
6.4.4.Revisionoftheroleofstructuralcoverage. . . . . . . . . . . . . . . 225
6.4.5.Verificationofthecompletenessofrequirements
anddetectionofunintendedfunctions . . . . . . . . . . . . . . . . . . . . . 227
6.5.LLRverificationbymodel-checking. . . . . . . . . . . . . . . . . . . . . 229
6.6.Contributiontotheverificationofrobustnessproperties
withFrama-C. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 234
6.6.1.IntroductiontoFrama-C . . . . . . . . . . . . . . . . . . . . . . . . . 234
6.6.2.Presentationofthecasestudy. . . . . . . . . . . . . . . . . . . . . . . 241
6.6.3.Analysisprocessofthecasestudy. . . . . . . . . . . . . . . . . . . . 243
6.6.4.Conclusiononthecasestudy. . . . . . . . . . . . . . . . . . . . . . . 252
6.7.Staticanalysisandpreservationofproperties. . . . . . . . . . . . . . . . 252
6.8.Conclusionandperspectives. . . . . . . . . . . . . . . . . . . . . . . . . . 256
6.9.Appendices. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 258
6.9.1.Automaticallyannotatingasourcecode . . . . . . . . . . . . . . . . 258
6.9.2.Automaticallysubdividinginputintervals . . . . . . . . . . . . . . . 259
6.9.3.Introducingcutstrategiesfordeductiveverification . . . . . . . . . 261
6.9.4.Combiningabstractinterpretation,deductiveverification
andfunctionswhichcanbeevaluatedinassertions . . . . . . . . . . . . . 263
6.9.5.ValidatingACSLlemmasbyformalcalculus . . . . . . . . . . . . . 265
6.9.6.Combiningstaticanddynamicanalysis. . . . . . . . . . . . . . . . . 266
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6.9.7.Finalizing. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 268
6.10.Acknowledgements . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 268
6.11.Bibliography . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 269
Chapter7.EfficientMethodDevelopedbyThalesforSafetyEvaluation
ofReal-to-IntegerDiscretizationandOverflowsinSIL4Software . . . . . 273
AnthonyBAÏOTTO,FatehKAAKAÏ,RafaelMARCANOandDanielDRAGO
7.1.Introduction. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 273
7.2.Discretizationerrorsintheembeddedcodeproductionchain . . . . . . 274
7.2.1.Presentationoftheissue . . . . . . . . . . . . . . . . . . . . . . . . . 274
7.2.2.Objectiveoftheanalysisofthereal-to-integerdiscretization. . . . 278
7.3.Modelingofthecreationandpropagationofuncertainties. . . . . . . . 280
7.3.1.Creationofuncertainties . . . . . . . . . . . . . . . . . . . . . . . . . 280
7.3.2.Propagationofuncertainties . . . . . . . . . . . . . . . . . . . . . . . 287
7.4.Goodpracticeofananalysisofreal-to-integerdiscretization . . . . . . 294
7.4.1.Codeextraction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 294
7.4.2.Functionalcodereorganisation. . . . . . . . . . . . . . . . . . . . . . 294
7.4.3.Algorithmicbreakdowninbasicarithmeticrelations. . . . . . . . . 295
7.4.4.Computationofuncertainties. . . . . . . . . . . . . . . . . . . . . . . 295
7.5.Arithmeticoverflowanddivisionbyzero. . . . . . . . . . . . . . . . . . 297
7.5.1.Analysisofarithmeticoverflowrisk. . . . . . . . . . . . . . . . . . . 297
7.5.2.Analysisoftheriskofdivisionbyzero. . . . . . . . . . . . . . . . . 298
7.6.Applicationtoarailsignallingexample. . . . . . . . . . . . . . . . . . . 299
7.6.1.Generalpresentationofthecommunication-basedtrain
controllersystem. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 299
7.6.2.Exampleofanalysisofthebehaviorofspeedcontrol . . . . . . . . 300
7.6.3.Industrialscaleview:afewnumbers . . . . . . . . . . . . . . . . . . 306
7.7.Conclusion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 307
7.8.Annexe:proofsupplements . . . . . . . . . . . . . . . . . . . . . . . . . . 308
7.8.1.Proof1:existenceandunicityofintegerdivision . . . . . . . . . . 308
7.8.2.Proof2:framingtheerrorofintegerdivision . . . . . . . . . . . . . 312
7.8.3.Proof3:rulesofthearithmeticofuncertaintyintervals . . . . . . . 314
7.8.4.Proof4:framingofuncertaintiesfromaproduct . . . . . . . . . . . 314
7.9.Bibliography . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 317
Conclusionandviewpoints . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 319
Jean-LouisBOULANGER
Glossary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 323
ListofAuthors . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 327
Index . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 329
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Introduction
Context
Although formal program analysis techniques (see works by Hoare [HOA 69]
and Dijkstra [DIJ 75]) are quite old, the implementation of formal methods goes
backtothe1980s.Thesetechniquesenableustoanalyzethebehaviorofasoftware
applicationdescribedinprogramminglanguage.Programcorrection(goodbehavior,
program stop, etc.) is then demonstrated by program proof based on the calculation
oftheweakestprecondition[DIJ76].
It was not until the end of the 1990s that formal methods (Z [SPI 89], VDM
[JON90])andtheBmethod[ABR96,ARA97]wereusedinindustrialapplications
and could be applied in an industrial context. One of the obstacles to their use was
how they could be implemented in an industrial application (large application, time
and cost constraints, etc.). They could only be implemented using tools that were
matureenoughandhadsufficientperformance.
It is worth noting that in the context of critical applications, at least two formal
methodshavearecognizedandcommonlyuseddesignenvironmentthatcoverspart
of the realization of the code specification process while integrating one or several
verification processes, that is to say the B method [ABR 96] and Lustre language
[HAL 91, ARA 97] and its graphic version, called SCADE® [DOR 08]. The B
method and SCADE® environment are associated with proven industrial tools. For
example, AtelierB and Btoolkit, commercially produced by Clearsy and Bcore,
respectively, are tools that completely cover the B method development cycle
(specification,refinement,codegenerationandproof).
IntroductionwrittenbyJean-LouisBOULANGER.
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xii StaticAnalysisofSoftware
Formal methods are based on different formal verification techniques, such as
proof,modelchecking[BAI08]and/orsimulation.
Theuseof formal methods, though in full expansion, is still marginal compared
to the number of code lines. Indeed, there are currently many more lines of Ada
[ANS83],CandC++codethathavebeenmanuallyproducedviaaformal process
only. For this reason other formal techniques have been implemented to verify the
behavior of a software application written in a programming language such as C or
Ada.Themaintechnique,calledabstractprograminterpretation[COU00],enables
us to evaluatethe setof behaviors of a software applicationusing staticanalysis. In
the past few years, this type of technique has given rise to several tools, such as
Polyspace®1,Caveat2,Absint3,Frama-C4and/orAstrée5.
Theefficiencyofthesestaticprogramanalysistechniqueshasgreatlyprogressed
with the increase in the power of office equipment. It is worth noting that these
techniques generally require the integration of complementary information into the
manualcode,suchaspre-conditions,invariantsand/orpost-conditions.
SPARKAda6isanapproachwhereAdahasbeenextended[BAR03]inorderto
introduce additional elements (pre, post and invariant) and a sequence of adapted
toolshasbeendefined.
Objective
In [BOW 95] and [ARA 97], we have the first feedback from industrialists
regarding formal techniques, and in particular feedback on the B method, Lustre
language [HAL 91, ARA 97] and SAO+ (SCADE®’s predecessor). Other works,
suchas[MON00,MON02,HAD06]provideanoverviewofformalmethodsfrom
ascientificpointofview.
With regards to the presentation of context and the state of the literature, our
objectiveistopresentconcreteexamplesoftheindustrialusesofformaltechniques.
By formal techniques, we mean different approaches based on mathematics, which
enable us to demonstrate that a software application respects a certain number of
properties.
1Seewww.mathworks.com/products/polyspace/.
2Seewww-list.cea.fr/labos/fr/LSL/caveat/index.html.
3Seewebwww.absint.com.
4Tofindoutmore,seewebframa-c.com.
5Seewww.astree.ens.fr.
6Seewww.altran-praxis.com/spark.aspxcontainsadditionalinformationaboutSPARKAda.
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