D.3.3 ALGORITHMS FOR INCREMENTAL ... - SecureChange

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Executive summary Deliverable 3.4 presents the results of tasks T3.2 Incremental Model Transformation and T3.3 Incremental V&V Change Analysis during the third year of SecureChange project. The main focus of the activities conducted in Work Package 3 is the integrability into industry practice of the results obtained in Year 2. The main results of Year 2 are: a) argumentation analysis to reason on the satisfaction of security requirements under evolution, b) a quantitative reasoning which helps the designer to select a system design that is resilient to changing requirements, and c) a semi-automatic approach to requirements change management based on incremental graph patterns and change driven transformations. This deliverable shows how these results have been revised in order to allow the integration into existing industrial security engineering processes. The deliverable not only shows that the results of Work Package 3 can be adopted in industry but also that when they are adopted, they improve over the change management processes adopted in industry. D.3.3 Algorithms for Incremental Requirements Models Evaluation and Transformation| version 1.19 | page 4/136
Index DOCUMENT INFORMATION 1 DOCUMENT CHANGE RECORD 2 EXECUTIVE SUMMARY 4 INDEX 5 1 INTRODUCTION 7 2 ORCHESTRATING SECURITY AND SYSTEM ENGINEERING PROCESSES 8 3 ORCHESTRATING REQUIREMENTS AND RISK ASSESSMENT PROCESSES 11 3.1 Orchestrating SI* and CORAS concepts and processes 11 3.2 Orchestrating SI* and Security DSML concepts and processes 14 3.3 Orchestrating Argumentation and Risk Assessment Processes 16 3.3.1 Overview of the approach 16 3.3.2 Application to the ATM case study 18 4 ORCHESTRATING REQUIREMENTS AND TESTING PROCESSES 20 5 A FRAMEWORK FOR MODELING AND REASONING ON GOAL MODELS EVOLUTION 23 5.1 Reasoning on goal models evolution 23 6 AUTOMATIC GENERATION OF CHANGE REACTIONS 28 6.1 Inductive mechanisms to automatic change reactions generation 28 6.2 Application to the ATM case study 30 7 CONCLUSIONS 32 REFERENCES 33 D.3.3 Algorithms for Incremental Requirements Models Evaluation and Transformation| version 1.19 | page 5/136
Page 1 and 2: D.3.3 ALGORITHMS FOR INCREMENTAL RE
Page 3: 1.14 19 January Final 1.15 23 Janua
Page 7 and 8: 1 Introduction This deliverable pre
Page 9 and 10: (Clause 6.4.3) processes of ISO/IEC
Page 11 and 12: 3 Orchestrating Requirements and Ri
Page 13 and 14: grey. The ADS-B introduction requir
Page 15 and 16: The security risk manager identifie
Page 17 and 18: are supported by the argumentation
Page 19 and 20: ADS-B Manage ADS-B signal ADS-B sig
Page 21 and 22: the stagnation suite (i.e. obsolete
Page 23 and 24: 5 A framework for modeling and reas
Page 25 and 26: sectors. And there is 42% of probab
Page 27 and 28: SDA(C) = {DA 2 , DA 4 , DA 8 , DA 1
Page 29 and 30: application contexts is saved if th
Page 31 and 32: Figure 14. ATM model state after qu
Page 33 and 34: References [1] Yudis Asnar, Fabio M
Page 35 and 36: Managing Changes with Legacy Securi
Page 37 and 38: Failure in the provisioning of corr
Page 39 and 40: propagated to the system designer a
Page 41 and 42: APPENDIX B D.3.3 Algorithms for Inc
Page 43 and 44: is sometimes difficult, especially
Page 45 and 46: Tactical Monitor air R controller t
Page 47 and 48: protected from harm. Since in CORAS
Page 49 and 50: CModel. The postcondtion checks the
Page 51 and 52: of ADS-B signal and Availability of
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3. Bzivin, J., Dup, G., Jouault, F.
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APPENDIX C D.3.3 Algorithms for Inc
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steps. Section V demonstrates the R
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that should be mitigated by the sys
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CPU value PINconfirmed(PIN, card-de
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TABLE IV PRIORITIZATION OF RISKS FO
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context. We believe that the Common
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Managing Evolution by Orchestrating
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1.1 The Contribution of this Paper
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Fig. 3. Integrated Change Managemen
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The requirement analysis is an iter
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Table 1. Conceptual Interface Requi
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Legend: Goals surrounded by dashed
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Table 5. Test Suite for GP-2.2 Tran
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6. P. K. Chittimalli and M. J. Harr
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Noname manuscript No. (will be inse
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Dealing with Known Unknowns: A Goal
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Understanding How to Manage Require
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Chatzoglou et al. [4] conducted a s
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Evolution Elicitation Probability E
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Table 2. Participants Background Pa
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for the defined success criteria. O
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Fig. 3. Codes Coverage ATM systems,
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The feedbacks provided by the ATM e
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3. P. Carlshamre, K. Sandahl, M. Li
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Quick fix generation for DSMLs Ábe
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• extensibility: the supported li
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Fig. 7. Overview of the Quick fix g
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Fig. 9. Evaluation results (|V(M I
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D.3.3 ALGORITHMS FOR INCREMENTAL ... - SecureChange

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