- Page 1: D.3.3 ALGORITHMS FOR INCREMENTAL RE
- Page 5 and 6: Index DOCUMENT INFORMATION 1 DOCUME
- 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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extensions to i* to model and analy
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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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Dealing with Known Unknowns: A Goal
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Dealing with Known Unknowns: A Goal
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Dealing with Known Unknowns: A Goal
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Dealing with Known Unknowns: A Goal
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Dealing with Known Unknowns: A Goal
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Dealing with Known Unknowns: A Goal
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Dealing with Known Unknowns: A Goal
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Dealing with Known Unknowns: A Goal
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Dealing with Known Unknowns: A Goal
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Dealing with Known Unknowns: A Goal
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Dealing with Known Unknowns: A Goal
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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