A Rationale-based Model for Architecture Design Reasoning

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BIBLIOGRAPHY [130] L. Rapanotti, J. Hall, M. Jackson, and B. Nuseibeh, “Architecture-driven problem decomposition,” in 12th IEEE International Conference on Requirements Engineering, 2004, pp. 73–82. [131] S. Redwine and W. Riddle, “Software Technology Maturation,” in Proceedings of the 8th International Conference on Software Engeneering (ICSE). IEEE Computer Society, 1985, pp. 189–200. [132] W. C. Regli, X. Hu, M. Atwood, and W. Sun, “A Survey of Design Rationale Systems: Approaches, Representation, Capture and Retrieval,” Engineering with Computers, no. 16, p. 209235, 2000. [133] Reserve Bank of Australia, “The Australian High Value Payment System,” http : //www.rba.gov.au/P ublicationsAndResearch/F inancialStabilityReview/Mar2004/P df/fsr 0 2004. [134] H. W. J. Rittel and M. M. Webber, “Dilemmas in a general theory of planning,” Policy Sciences, vol. 4, no. 2, pp. 155–169, 1973. [135] R. Roeller, P. Lago, and H. van Vliet, “Recovering architectural assumptions,” The Journal of Systems and Software, vol. 79, pp. 552–573, 2005. [136] J. Savolainen and J. Kuusela, “Framework for Goal Driven System Design,” in Proceedings of the 26th Annual International Computer Software and Applications Conference (COMPSAC’02), 2002. [137] C. B. Seaman, “The Information Gathering Strategies of Software Maintainers,” in Proceedings of the International Conference on Software Maintenance, 2002, pp. 141–. [138] M. Shaw, “The Coming-of-Age of Software Architecture Research,” in Proceedings of the 23rd International Conference on Software Engineering (ICSE). Los Alamitos, California: IEEE Computer Society, May12–19 2001, pp. 656–665. [139] F. Shipman III and R. McCall, “Integrating different perspectives on design rationale: Supporting the emergence of design rationale from design communication,” Artificial Intelligence in Engineering Design, Analysis, and Manufacturing, vol. 11, no. 2, 1997. [140] S. Shum, “Cognitive Dimensions of Design Rationale,” in People and Computers VI: Proceedings of HCI’91, 1991, pp. 331–344. [141] H. Simon, The Sciences of the Artificial. MIT Press, 1981. 223
BIBLIOGRAPHY [142] Z. Simsek and J. Veiga, “A Primer on Internet Organizational Survey,” Organizational Research Methods, vol. 4, no. 3, pp. 218–235, 2001. [143] M. Singley and J. Carroll, “Synthesis by Analysis:Five Modes of Reasoning That Guide Design,” in Design Rationale: Concepts, Techniques and Use, T. Moran and J. Carroll, Eds. Lawrence Erlbaum Associates, 1996, ch. 8, pp. 241–265. [144] Six Sigma Academy, “Six Sigma Process Improvement Methodology,” http://www.6-sigma.com/, 2005. [145] W. Smith, Best Practices: Application of DOORS to System Integration. 1999 So. Bascom Av., Suite 700, Cambell, CA 950008, USA: QSS Quality Systems and Software, 1998. [146] I. Sommerville, Software Engineering, 7th ed. England: Addison-Wesley, 2004. [147] D. Soni, R. L. Nord, and C. Hofmeister, “Software architecture in industrial applications,” in The 17th international conference on Software Engineering, 1995, pp. 196–207. [148] J. Sowa and J. Zachman, “Extending and formalising the framework for Information Systems Architecture,” IBM Systems Journal, vol. 31, no. 3, 1992. [149] G. Spanoudakis, A. Zisman, E. Pérez-Miñana, and P. Krause, “Rule-based generation of requirements traceability relations,” The Journal of Systems and Software, vol. 72, no. 2, pp. 105–127, July 2004. [150] Sparx Systems, “Enterprise Architect V5.00.767,” http://www.sparxsystems.com/, 2005. [151] S. H. Spewak, Enterprise Architecture Planning. John Wiley & Sons, 1992. [152] M. Svahnberg, C. Wohlin, L. Lundberg, and M. Mattsson, “A quality-driven decision-support method for identifying software architecture candidates.” International Journal of Software Engineering and Knowledge Engineering, vol. 13, no. 5, pp. 547–573, 2003. [153] A. Tang, “An UML Profile Extension to Support Architecture Decision Traceability using Enterprise Architect,” http://www.ict.swin.edu.au/personal/atang/ArelStereotypePackage.zip, 2005. [154] ——, “Managing project risks with architecture modelling,” Australian Project Manager - Journal of the Australian Institute of Project Management, vol. 15, no. 2, pp. 13–14, 2005. 224
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A Rationale-based Model for Archite
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maintenance. These techniques can h
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Declaration This thesis contains no
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2.2.6 DoD Architecture Framework .
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5.4.6 Risk assessment in architectu
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8.2 The architecture rationalisatio
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12.2 Contributions . . . . . . . .
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6.10 ≪AR≫ and ≪AAR≫ Stereot
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11.13A Process to Synchronise Chang
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5.13 Design Rationale Helps Evaluat
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that architecture design is highly
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1.2. Research motivations and resea
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1.2. Research motivations and resea
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1.4. Structure of the thesis the ch
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Part I Problem Analysis 10
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2.1. Industry practice of design ra
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2.2. Architecture frameworks and de
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Chapter 3 Related work in design ra
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3.2. Why do we need design rational
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3.2. Why do we need design rational
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3.3. Existing methods for capturing
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3.4. Other related studies 3.3.7 Qu
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3.4. Other related studies evolutio
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3.5. How well design rationale meth
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3.5. How well design rationale meth
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Chapter 4 Research methodology and
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4.1. Software engineering research
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4.2. The chosen research and valida
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Part II Architecture Design Rationa
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on a regular basis. Their inputs ha
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5.1. Architecture rationale in the
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5.2. Survey methodology data collec
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5.3. Survey findings experience). I
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5.3. Survey findings Table 5.1: Fre
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5.3. Survey findings Business Goals
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5.3. Survey findings 5.3.5 Document
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5.3. Survey findings Table 5.8 summ
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5.3. Survey findings We used Spearm
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5.3. Survey findings previous desig
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5.4. Discussion of findings Since t
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5.4. Discussion of findings or cons
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5.5. Limitations and use design rat
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Part III The Representation and App
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6.1. A conceptual model for design
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6.2. Architecture Rationale and Ele
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6.2. Architecture Rationale and Ele
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6.3. Architecture elements Figure 6
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6.4. Architecture rationale Figure
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6.4. Architecture rationale • ris
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6.4. Architecture rationale depicts
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6.5. The extended AREL To prevent c
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6.6. A UML representation of AREL a
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6.6. A UML representation of AREL a
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6.7. AREL usability AE by ≪AEsupe
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6.8. Summary The AREL model is exte
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7.1. The EFT system reasoning, a co
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7.1. The EFT system The processing
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7.1. The EFT system not chosen beca
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7.1. The EFT system Figure 7.5: Int
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7.1. The EFT system sequence checki
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7.1. The EFT system Figure 7.7: Dec
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7.1. The EFT system Therefore, in a
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7.1. The EFT system Figure 7.10: De
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7.2. An empirical study to validate
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7.3. Summary The case study is spec
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8.1. Background Based on these assu
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8.2. The architecture rationalisati
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8.3. Other applications of ARM As d
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8.3. Other applications of ARM Figu
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8.3. Other applications of ARM area
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Chapter 9 Architecture rationale an
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9.1. Background 9.1 Background In t
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9.2. Traceability of architecture r
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9.4. AREL and eAREL traceability ap
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Chapter 10 Architecture decision de
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10.1. Background 10.1.2 Introductio
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10.2. Building a BBN to represent a
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Page 215 and 216: 11.2. Checking AREL models Figure 1
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Page 223 and 224: Chapter 12 Conclusions 12.1 Summary
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Page 233 and 234: BIBLIOGRAPHY [10] B. W. Boehm, Soft
Page 235 and 236: BIBLIOGRAPHY [37] A. Eden and R. Ka
Page 237 and 238: BIBLIOGRAPHY [62] J. D. Herbsleb an
Page 239 and 240: BIBLIOGRAPHY [89] N. Lassing, D. Ri
Page 241: BIBLIOGRAPHY [115] D. L. Parnas,
Page 245 and 246: BIBLIOGRAPHY [167] W. F. Tichy, N.
Page 247 and 248: Appendix A AREL Tool User Manual 1
Page 249 and 250: 4.1 AREL Check Model When the Check
Page 251 and 252: 4.2 AREL Model Tracing AREL model t
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Page 255 and 256: To initiate the graph’s creation,
Page 257 and 258: onto the diagram 14 Assign values t
Page 259 and 260: Useful Definitions The following ar
Page 261 and 262: ) Some projects only c) Not at all
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Page 265 and 266: Complaint Procedure If you have any
Page 267 and 268: Privacy Protection Only investigato
Page 269 and 270: B. Exploring design reasoning. 1. W
Page 271 and 272: 3. Why does the system use asynchro
Page 273 and 274: C. General Comments on AREL Modelli
Page 275: IEEE Computer Society Press. A. Tan
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