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Random Thoughts on Multi-level Conceptual Modelling

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The Evolution of Conceptual Modeling

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6520))

Abstract

Conceptual modelling has a lengthy history. In the context of software engineering, over the last three decades, conceptual modelling has moved from largely being used for data representation, especially in databases, to applications in metamodelling, ontologies, method engineering, standards and business process management. Here, I reflect, somewhat randomly, upon some of these issues and possible future application/research areas for conceptual modelling. Of prime importance must be the synergistic exploration of model quality, a topic poorly represented in the conceptual modelling literature.

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References

  1. Henderson-Sellers, B.: Reservoirs, p. 128. Macmillan, Basingstoke (1979)

    Book  Google Scholar 

  2. Edwards, J.M., Henderson-Sellers, B.: A graphical notation for object-oriented analysis and design. J. Object-Oriented Programming 5(9), 53–74 (1993)

    Google Scholar 

  3. Henderson-Sellers, B.: Towards a conceptual model of randomness. Ecological Modelling 85, 303–308 (1996)

    Article  Google Scholar 

  4. Henderson-Sellers, B., Cooper, D.: Has classical music a fractal nature? - a re-analysis. Computers and the Humanities 27, 43–506 (1993)

    Article  Google Scholar 

  5. Brodie, M.L.: John Mylopoulos: sewing seeds of conceptual modelling. In: Borgida, A.T., Chaudhri, V.K., Giorgini, P., Yu, E.S. (eds.) Conceptual Modeling: Foundations and Applications. LNCS, vol. 5600, pp. 1–9. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  6. Roussopoulos, N., Karagiannis, D.: Conceptual modeling: past, present and the continuum of the future. In: Borgida, A.T., Chaudhri, V.K., Giorgini, P., Yu, E.S. (eds.) Conceptual Modeling: Foundations and Applications. LNCS, vol. 5600, pp. 139–152. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  7. Stachowiak, H.: Allgemeine Modelltheorie. Springer, Vienna (1973)

    Book  Google Scholar 

  8. Guizzardi, G.: Ontological Foundations for Structural Conceptual Models, Enschede, The Netherlands (2005)

    Google Scholar 

  9. Kühne, T.: Matters of (meta-) modelling. Software and Systems Modeling 5, 369–385 (2006)

    Article  Google Scholar 

  10. Ludewig, J.: Models in software engineering – an introduction. Software and Systems Modeling 2, 5–14 (2003)

    Article  Google Scholar 

  11. Ghidini, C., Giunchiglia, F.: A semantics for abstraction. In: Lopez de Mantaras, R., Saitta, L. (eds.) Procs. ECAI 2004, pp. 343–352. IOS Press, Amsterdam (2004)

    Google Scholar 

  12. Keet, C.M.: Enhancing comprehension of ontologies and conceptual models through abstractions. In: Basili, R., Pazienza, M.T. (eds.) AI*IA 2007. LNCS (LNAI), vol. 4733, pp. 813–821. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  13. Giunchiglia, F., Walsh, T.: A theory of abstraction. Artificial Intelligence 57(2-3), 323–390 (1992)

    Article  MathSciNet  MATH  Google Scholar 

  14. Kaschek, R.: Modelling Ontology Use for Information Systems. In: Althoff, K.-D., Dengel, A.R., Bergmann, R., Nick, M., Roth-Berghofer, T.R. (eds.) WM 2005. LNCS (LNAI), vol. 3782, pp. 609–622. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  15. Hesse, W.: More matters on (meta-)modelling: remarks on Thomas Kühne’s “matters”. Softw. Syst. Model. 5, 387–394 (2006)

    Article  Google Scholar 

  16. Kühne, T.: Clarifying matters of (meta-)modeling: an author’s reply. Softw. Syst. Model. 5, 395–401 (2006)

    Article  Google Scholar 

  17. Ogden, C.K., Richards, I.A.: The Meaning of Meaning. Harcourt, Brace and World, New York (1923)

    Google Scholar 

  18. Kaschek, R.: A little theory of abstraction. In: Rumpe, B., Hesse, W. (eds.) Proceedings of Modellierung 2004. LNI, vol. 45, pp. 75–92. GI, Bonn (2004)

    Google Scholar 

  19. Mani, I.: A theory of granularity and its application to problems of polysemy and underspecification of meaning. In: Cohn, A.G., Schubert, L.K., Shapiro, S.C. (eds.) Principles of Knowledge Representation and Reasoning: Proceedings of the Sixth International Conference (KR 1998), pp. 245–257. Morgan Kaufmann, San Mateo (1998)

    Google Scholar 

  20. Gonzalez-Perez, C., Henderson-Sellers, B.: Modelling software development methodologies: a conceptual foundation. J. Systems Software 80(11), 1778–1796 (2007)

    Article  Google Scholar 

  21. Machado, E.P., Traina Jr., C., Araujo, M.R.B.: Classification abstraction: An intrinsic element in database systems. In: Yakhno, T. (ed.) ADVIS 2000. LNCS, vol. 1909, pp. 57–70. Springer, Heidelberg (2000)

    Chapter  Google Scholar 

  22. Kühne, T.: Contrasting classification with generalisation. In: Kirchberg, M., Link, S. (eds.) Procs. Sixth Asia-Pacific Conference on Conceptual Modelling (APCCM 2009). CRPIT, vol. 96, pp. 71–78 (2009)

    Google Scholar 

  23. Kühne, T.: What is a model? In: Bézivin, J., Heckel, R. (eds.) Procs. Dagstuhl Seminar 04101, Language Engineer-ing for Model-Driven Software Development (2004), http://drops.dagstuhl.de/portals/index.php/semnr=04101

  24. Gonzalez-Perez, C., Henderson-Sellers, B.: A representation-theoretical analysis of the OMG modelling suite. In: Fujita, H., Mejri, M. (eds.) New Trends in Software Methodologies, Tools and Techniques, pp. 252–262. IOS Press, Amsterdam (2005)

    Google Scholar 

  25. Harel, D., Rumpe, B.: Meaningful modeling: what’s the semantics of “semantics”? IEEE Computer 37(10), 64–72 (2004)

    Article  Google Scholar 

  26. Laarman, A., Kurtev, I.: Ontological Metamodeling with Explicit Instantiation. In: van den Brand, M., Gašević, D., Gray, J. (eds.) SLE 2009. LNCS, vol. 5969, pp. 174–183. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  27. Favre, J.-M.: Foundations of model (driven) (reverse) engineering: models. Episode I: Stories of The Fidus Papyrus and of The Solarus. In: Bézivin, J., Hockel, R. (eds.) Procs. Dagstuhl Seminar 04101 Language Engineering for Model-Driven Software Development (2005) ISSN 1862-4405

    Google Scholar 

  28. Seidewitz, E.: What models mean. IEEE Software 20, 26–31 (2003)

    Article  Google Scholar 

  29. Muller, P.-A., Fondement, F., Baudry, B.: Modeling modeling. In: Schürr, A., Selic, B. (eds.) MODELS 2009. LNCS, vol. 5795, pp. 2–16. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  30. Whitmire, S.A.: Object Oriented Design Measurement, p. 452. John Wiley & Sons, Inc., New York (1997)

    Google Scholar 

  31. Atkinson, C.: Metamodelling for distributed object environments. In: First International Enterprise Distributed Object Computing Workshop (EDOC 1997), Brisbane, Australia (1997)

    Google Scholar 

  32. Atkinson, C.: Supporting and Applying the UML Conceptual Framework. In: Bézivin, J., Muller, P.-A. (eds.) UML 1998. LNCS, vol. 1618, pp. 21–36. Springer, Heidelberg (1999)

    Chapter  Google Scholar 

  33. Jørgensen, K.A.: Modelling on multiple abstraction levels. In: Procs. 7th Workshop on Product Structuring – Product Platform Development, March 24-25. Chalmers University of Technology, Göteborg (2004)

    Google Scholar 

  34. OMG, Unified Modeling Language: Superstructure. Version 2.1.1, OMG document formal/07-02-03 (2007)

    Google Scholar 

  35. ANSI: Information Resource Dictionary System (IRDS). American National Standards Institute, New York (1989)

    Google Scholar 

  36. Henderson-Sellers, B., Unhelkar, B.: OPEN Modeling with UML, p. 245. Addison-Wesley, Reading (2000)

    Google Scholar 

  37. Atkinson, C., Kühne, T.: Model-driven development: a metamodelling foundation. IEEE Software 20(5), 36–41 (2003)

    Article  Google Scholar 

  38. Atkinson, C., Kühne, T.: Concepts for Comparing Modeling Tool Architectures. In: Briand, L.C., Williams, C. (eds.) MoDELS 2005. LNCS, vol. 3713, pp. 398–413. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  39. Henderson-Sellers, B.: On the challenges of correctly using metamodels in method engineering. In: Fujita, H., Pisanelli, D. (eds.) New Trends in Software Methodologies, Tools and Techniques, Proceedings of the Sixth SoMeT_ 2007, pp. 3–35. IOS Press, Amsterdam (2007)

    Google Scholar 

  40. Gonzalez-Perez, C., Henderson-Sellers, B.: Metamodelling for Software Engineering, p. 210. J. Wiley & Sons, Chichester (2008)

    Google Scholar 

  41. Gonzalez-Perez, C., Henderson-Sellers, B.: A powertype-based metamodelling framework. Software and Systems Modeling 5(1), 72–90 (2006)

    Article  Google Scholar 

  42. Odell, J.J.: Power types. Journal of Object-Oriented Programming 7(2), 8–12 (1994)

    MathSciNet  Google Scholar 

  43. ISO/IEC: Software Engineering - Metamodel for Development Methodologies, ISO/IEC 24744. International Organization for Standardization/International Electrotechnical Commission, Geneva (2007)

    Google Scholar 

  44. Henderson-Sellers, B.: Method engineering: theory and practice. In: Karagiannis, D., Mayr, H.C. (eds.) 5th International Conference Information Systems Technology and its Applications, ISTA 2006, Klagenfurt, Austria, May 30-31. LNI, vol. P-84, pp. 13–23. Gesellschaft für Informatik, Bonn (2006)

    Google Scholar 

  45. Guarino, N.: Formal ontology and information systems. In: Int. Conf. on Formal Ontology in Information Systems - FOIS 1998, Trento, Italy (1998)

    Google Scholar 

  46. Wyssusek, B., Klaus, H.: Ontological foundations of information systems analysis and design: extending the scope of the discussion. In: Green, P., Rosemann, M. (eds.) Business Systems Analysis with Ontologies, pp. 322–344. IGI Group Publishing, Hershey (2005)

    Chapter  Google Scholar 

  47. Green, P., Rosemann, M.: Business Systems Analysis with Ontologies. IGI Group Publishing, Hershey (2005)

    Book  Google Scholar 

  48. Calero, C., Ruiz, F., Piattini, M. (eds.): Ontologies in Software Engineering and Software Technology, p. 339. Springer, Berlin (2006)

    MATH  Google Scholar 

  49. Hesse, W.: Engineers discovering the “real world” - from model-driven to ontology-based software engineering. In: Kaschek, R., Kop, C., Steinberger, C., Fliedl, G. (eds.) UNISCON 2008. LNBIP, vol. 5, pp. 136–147. Springer, Berlin (2008)

    Google Scholar 

  50. Hesse, W.: From conceptual models to ontologies – a software engineering approach, paper presented at Dagstuhl Seminar on Conceptual Modelling, April 27-30 (2008), preprint on conference website: http://drops.dagstuhl.de/opus/volltexte/2008/1598

  51. Gruber, T.R.: A translation approach to portable ontology specifications. Knowledge Acquisition 5(2), 199–220 (1993)

    Article  Google Scholar 

  52. Henderson-Sellers, B.: Bridging metamodels and ontologies in software engineering (2010) (submitted for publication)

    Google Scholar 

  53. Atkinson, C., Gutheil, M., Kiko, K.: On the relationship of ontologies and models, in Meta-Modelling and Ontologies. In: Proceedings of the 2nd Workshop on Meta-Modelling, WoMM 2006. LNI, vol. P-96, pp. 47–60. Gesellschaft für Informatik, Bonn (2006)

    Google Scholar 

  54. Devedzic, V.: Understanding ontological engineering. Comms. ACM 45(4), 136–144 (2002)

    Article  Google Scholar 

  55. Ruiz, F., Hilera, J.R.: Using ontologies in software engineering and technology. In: Calero, C., Ruiz, F., Piattini, M. (eds.) Ontologies for Software Engineering and Software Technology, pp. 49–102. Springer, Berlin (2006)

    Chapter  Google Scholar 

  56. Neumayr, B., Schrefl, M.: Comparison criteria for ontological multi-level modelling, paper presented at Dagstuhl Seminar on Conceptual Modelling, April 27-30 (2008) (preprint on conference website)

    Google Scholar 

  57. Aßmann, U., Zschaler, S., Wagner, G.: Ontologies, meta-models, and the model-driven paradigm. In: Calero, C., Ruiz, F., Piattini, M. (eds.) Ontologies for Software Engineering and Software Technology, pp. 239–273. Springer, Berlin (2006)

    Google Scholar 

  58. Falbo, R.A., Ruy, F.B., Moro, R.D.: Using ontologies to add semantics to a software engineering environment. In: Procs. SEKE 2005, Skokie, IL, USA (2005)

    Google Scholar 

  59. Unhelkar, B.: Verification and Validation for Quality of UML 2.0 Models. J. Wiley and Sons, Chichester (2005)

    Book  Google Scholar 

  60. ISO/IEC: Unified Modeling Language (UML) Version 1.4.2. ISO/IEC 19501. International Organization for Standardization/International Electrotechnical Commission, Geneva (2005)

    Google Scholar 

  61. Barbier, F., Henderson-Sellers, B., Le Parc-Lacayrelle, A., Bruel, J.-M.: Formal-ization of the whole-part relationship in the Unified Modeling Language. IEEE Trans. Software Eng. 29(5), 459–470 (2003)

    Article  Google Scholar 

  62. Barbier, F., Aretxandieta, X.: State-based composition in UML 2. Int. J. Software Eng. and Knowledge Eng. 18(7), 1–25 (2008)

    Google Scholar 

  63. Henderson-Sellers, B., Gonzalez-Perez, C.: Uses and abuses of the stereotype mechanism in UML 1.x and 2.0. In: Wang, J., Whittle, J., Harel, D., Reggio, G. (eds.) MoDELS 2006. LNCS, vol. 4199, pp. 16–26. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  64. Atkinson, C., Kühne, T., Henderson-Sellers, B.: Systematic stereotype usage. Software and System Modelling 2(3), 153–163 (2003)

    Article  Google Scholar 

  65. Fuentes-Fernandez, R., Gomez-Sanz, J.J., Pavon, J.: Integration in agent-oriented development. Int. J. Agent-Oriented Software Eng. 1(1), 2–27 (2007)

    Article  Google Scholar 

  66. McGregor, J.D., Korson, T.: Supporting dimensions of classification in object-oriented design. J. Obj.-Oriented Programming 5(9), 25–30 (1993)

    Google Scholar 

  67. Henderson-Sellers, B., Edwards, J.M.: BOOKTWO of Object-Oriented Knowledge: The Working Object, p. 594. Prentice-Hall, Englewood Cliffs (1994)

    Google Scholar 

  68. Opdahl, A.L., Henderson-Sellers, B.: Ontological evaluation of the UML using the Bunge-Wand-Weber model. Software Syst. Model. 1(1), 43–67 (2002)

    Google Scholar 

  69. Moody, D., van Hillegersberg, J.: Evaluating the visual syntax of UML: An analysis of the cognitive effectiveness of the UML family of diagrams. In: Gašević, D., Lämmel, R., Van Wyk, E. (eds.) SLE 2008. LNCS, vol. 5452, pp. 16–34. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  70. Henderson-Sellers, B.: Object-Oriented Metrics. In: Measures of Complexity, p. 234. Prentice Hall, NJ (1996)

    Google Scholar 

  71. Fenton, N.: Software measurement: a necessary scientific basis. IEEE Trans. Soft-ware Eng. 20, 199–206 (1994)

    Article  Google Scholar 

  72. Basili, V.R., Rombach, H.D.: The TAME project: towards improvement-orientated software environments. IEEE Trans. Software Eng. 14(6), 758–773 (1988)

    Article  Google Scholar 

  73. Nugroho, A., Chaudron, M.R.V.: Evaluating the impact of UML modeling on software quality: An industrial case study. In: Schürr, A., Selic, B. (eds.) MODELS 2009. LNCS, vol. 5795, pp. 181–195. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  74. Stevens, W.P., Myers, G.J., Constantine, L.L.: Structured design. IBM Syst. J. 13(2), 115–139 (1974)

    Article  Google Scholar 

  75. Henry, S., Kafura, D.: Software structure metrics based on information flow. IEEE Trans. Software Eng. 7(5), 510–518 (1981)

    Article  Google Scholar 

  76. Chidamber, S., Kemerer, C.: A metrics suite for object-oriented design. IEEE Trans. Software Eng. 20(6), 476–493 (1994)

    Article  Google Scholar 

  77. Yap, L.-M., Henderson-Sellers, B.: A semantic model for inheritance in object-oriented systems. In: Procs. ASWEC 1993, pp. 28–35. IREE, Sydney (1993)

    Google Scholar 

  78. Martin, M., de los, A., Olsina, L.: Towards an ontology for software metrics and indicators as the foundation for a cataloguing web system. In: Procs. First Conf. Latin American Web Congress, pp. 103–113. IEEE Computer Society, Los Alamitos (2003)

    Google Scholar 

  79. Garcia, F., Bertoa, M.F., Calero, C., Vallecillo, A., Ruiz, F., Piattini, M., Genero, M.: Towards a consistent terminology for software measurement. Inf. Software Technol. 48, 631–644 (2006)

    Article  Google Scholar 

  80. Genero, M., Piattini, M., Calero, C. (eds.): Metrics for Software Conceptual Models. Imperial College Press, London (2005)

    MATH  Google Scholar 

  81. Lanza, M., Marinescu, R.: Object-Oriented Metrics in Practice, p. 205. Springer, Berlin (2006)

    MATH  Google Scholar 

  82. Aggarwal, K.K., Singh, Y., Kaur, A., Malhotra, R.: Software design metrics for object-oriented software. J. Obj. Technol. 6(1), 121–138 (2007)

    Article  Google Scholar 

  83. Aggarwal, K.K., Singh, Y., Kaur, A., Malhotra, R.: Investigating effect of design metrics on fault proneness in object-oriented systems. J. Obj. Technol. 6(10), 127–141 (2007)

    Article  Google Scholar 

  84. Franch, X.: A Method for the Definition of Metrics over i* Models. In: van Eck, P., Gordijn, J., Wieringa, R. (eds.) CAiSE 2009. LNCS, vol. 5565, pp. 201–215. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  85. Unhelkar, B., Henderson-Sellers, B.: Applying syntax, semantics and aesthetic checks to verifying and validating the quality of UML models. In: Procs. IRMA 2005. Idea Group, Hershey (2005)

    Google Scholar 

  86. Du Bois, B., Lange, C.F.J., Demeyer, S., Chaudron, M.R.V.: A Qualitative Investigation of UML Modeling Conventions. In: Auletta, V. (ed.) MoDELS 2006. LNCS, vol. 4364, pp. 91–100. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  87. Gonzalez-Perez, C., Henderson-Sellers, B.: Metamodelling for Software Engineering, p. 210. J. Wiley & Sons, Chichester (2008)

    Google Scholar 

  88. Bertoa, M.F., Vallecillo, A.: Quality attributes for software metamodels. In: Procs. QAOOSE 2010, Malaga, Spain, July 2 (2010)

    Google Scholar 

  89. ISO/IEC: Software Process Assessment - Part 1: Concepts and Vocabulary. ISO/IEC 15504-1: International Standards Organization/International Electrotechnical Commission, Geneva (2004)

    Google Scholar 

  90. Gonzalez-Perez, C., Henderson-Sellers, B.: Methodology enactment using a work product pool approach. J. Systems and Software 81(8), 1288–1305 (2008)

    Article  Google Scholar 

  91. Zuse, H.: Software Complexity: Measures and Methods, p. 605. Walter de Gruyter, Berlin (1994)

    MATH  Google Scholar 

  92. Weyuker, E.: Evaluating software complexity measures. IEEE Trans. Software Eng. 14(9), 1357–1365 (1988)

    Article  MathSciNet  Google Scholar 

  93. Fenton, N.: Software Metrics: A Rigorous Approach, p. 337. Chapman and Hall, London (1991)

    MATH  Google Scholar 

  94. Pavon, J., Gomez-Sanz, J., Fuentes, R.: The INGENIAS methodology and tools. In: Henderson-Sellers, B., Giorgini, P. (eds.) Agent-Oriented Methodologies, pp. 236–276. IDEA Group Publishing, Hershey (2005)

    Chapter  Google Scholar 

  95. Beydoun, G., Gonzalez-Perez, C., Henderson-Sellers, B., Low, G.: Developing and Evaluating a Generic Metamodel for MAS Work Products. In: Garcia, A., Choren, R., Lucena, C., Giorgini, P., Holvoet, T., Romanovsky, A. (eds.) SELMAS 2005. LNCS, vol. 3914, pp. 126–142. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  96. Beydoun, G., Low, G., Henderson-Sellers, B., Mouratidis, H., Gomez-Sanz, J., Pavon, J., Gonzalez-Perez, C.: FAML: a generic metamodel for MAS development. IEEE Trans. Software Eng. 35(6), 841–863 (2009)

    Article  Google Scholar 

  97. Azaiez, S., Huget, M.-P., Oquendo, F.: An approach for multi-agent metamodelling. Multiagent and Grid Systems 2(4), 435–454 (2006)

    Article  MATH  Google Scholar 

  98. Odell, J.J., Van Dyke Parunak, H., Fleischer, M.: Modeling agent organizations using roles. Software and Systems Modeling 2, 76–81 (2003)

    Article  MATH  Google Scholar 

  99. Kumar, K., Welke, R.J.: Methodology engineering: a proposal for situation-specific methodology construction. In: Cotterman, W.W., Senn, J.A. (eds.) Challenges and Strategies for Research in Systems Development, pp. 257–269. John Wiley & Sons, Chichester (1992)

    Google Scholar 

  100. Brinkkemper, S.: Method engineering: engineering of information systems devel-opment methods and tools. Information and Software Technology 38(4), 275–280 (1996)

    Article  Google Scholar 

  101. Henderson-Sellers, B.: Method engineering for OO system development. Communications of the ACM 46(10), 73–78 (2003)

    Article  Google Scholar 

  102. Henderson-Sellers, B., Ralyte, J.: Approaches to situational method engineering. Journal of Universal Computer Science 16(3), 424–478 (2010)

    Google Scholar 

  103. Ralyté, J., Brinkkemper, S., Henderson-Sellers, B. (eds.): Situational Method Engineering: Fundamentals and Experiences. Proceedings of the IFIP WG 8.1 Working Conference, Geneva, Switzerland, September 12-14. IFIP Series, vol. 244, p. 380. Springer, Berlin (2007)

    Google Scholar 

  104. Seidita, V., Ralyté, J., Henderson-Sellers, B., Cossentino, M., Arni-Bloch, N.: A comparison of deontic matrices, maps and activity diagrams for the construction of situational methods. In: Eder, J., Tomassen, S.L., Opdahl, A.L., Sindre, G. (eds.) CAiSE 2007 Forum Proceedings, pp. 85–88 (2007)

    Google Scholar 

  105. ISO/IEC: CDIF Framework. ISO/IEC 15474, International Organization for Standardization, Geneva (1998)

    Google Scholar 

  106. OMG: BPMN Fundamentals, OMG document bei/04-11-05.pdf (2005)

    Google Scholar 

  107. Bock, C.: Introduction to the Business Process Definition Metamodel, OMG doc. BPDM_08-06-32.pdf (2008)

    Google Scholar 

  108. Bandara, W., Indulska, M., Chong, S., Sadiq, S.: Major issues in business proc-ess management: an expert perspective, BP Trends, pp. 1–8 (October 2007)

    Google Scholar 

  109. Indulska, M., Recker, J., Rosemann, M., Green, P.: Business process modeling: Current issues and future challenges. In: van Eck, P., Gordijn, J., Wieringa, R. (eds.) CAiSE 2009. LNCS, vol. 5565, pp. 501–514. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  110. Graham, I.: Requirements Modelling and Specification for Service Oriented Architecture, p. 301. J. Wiley and Sons, Chichester (2008)

    Google Scholar 

  111. Deneckère, R., Iacovelli, A., Kornyshova, E., Souveyet, C.: From method frag-ments to method services. In: Halpin, T., Proper, E., Krogstie, J., Franch, X., Hunt, E., Coletta, R. (eds.) Proceedings of the 13th International Workshop on Exploring Modeling Methods for Systems Analysis and Design (EMMSAD 208) held in conjunction with the CAiSE 2008 Conference, Montpellier, France, June 16-17. CEUR Workshop Proceedings, vol. 337, pp. 80–96 (2008), http://www.ceur-ws.org

  112. Saidani, O., Nurcan, S.: Meta-model tailoring for situation-aware business process modelling. In: Procs MoDISE-EUS 2008, CEUR Proceedings, vol. 341 (2008), http://ceur-ws.org

  113. Henderson-Sellers, B., Qureshi, M.A., Gonzalez-Perez, C.: Towards an interop-erable metamodel suite: complexity assessment. In: Parsons, J., et al. (eds.) ER 2010. LNCS, vol. 6412, pp. 275–288. Springer, Heidelberg (2010)

    Google Scholar 

  114. Gašević, D., Kaviani, N., Hatala, M.: On metamodeling in megamodels. In: Engels, G., Opdyke, B., Schmidt, D.C., Weil, F. (eds.) MODELS 2007. LNCS, vol. 4735, pp. 91–105. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  115. Hug, C., Front, A., Rieu, D., Henderson-Sellers, B.: A method to build information systems engineering process metamodels. J. Systems Software 82(10), 1730–1742

    Google Scholar 

  116. Sen, S., Moha, N., Baudry, B., Jézéquel, J.-M.: Meta-model pruning. In: Schürr, A., Selic, B. (eds.) MODELS 2009. LNCS, vol. 5795, pp. 32–46. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  117. Unhelkar, B., Henderson-Sellers, B.: Modelling spaces and the UML, Innova-tions Through Information Technology. In: Khosrow-Pour, M. (ed.) Procs. IRMA 2004, pp. 892–895. Idea Group Publishing, Hershey (2004)

    Google Scholar 

  118. Du Bois, B., Lange, C.F.J., Demeyer, S., Chaudron, M.R.V.: A Qualitative Investigation of UML Modeling Conventions. In: Auletta, V. (ed.) MoDELS 2006. LNCS, vol. 4364, pp. 91–100. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  119. Shekhovtsov, V.A.: On conceptualization of quality, paper presented at Dagstuhl Seminar on Conceptual Modelling, April 27-30 (2008) (preprint on conference website)

    Google Scholar 

  120. Moody, D.L.: Theoretical and practical issues in evaluating the quality of conceptual models: current state and future directions. Data & Knowledge Eng. 55, 243–276 (2005)

    Article  Google Scholar 

  121. Dupuy-Chessa, S.: Quality in ubiquitous information system design. In: Procs. Third Int. Conf. on Research Challenges in Information Science (RCIS 2009), pp. 343–352. IEEE Computer Society Press, Los Alamitos (2009)

    Chapter  Google Scholar 

  122. Thalheim, B.: Towards a Theory of Conceptual Modelling. In: Heuser, C.A., Pernul, G. (eds.) ER 2009 Workshops. LNCS, vol. 5833, pp. 45–54. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  123. Jackson, M.: Some Notes on Models and Modelling. In: Borgida, A.T., Chaudhri, V.K., Giorgini, P., Yu, E.S. (eds.) Conceptual Modeling: Foundations and Applications. LNCS, vol. 5600, pp. 68–81. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  124. Favre, J.-M.: Towards a basic theory to model model-driven engineering. In: Procs. WISME 2004, a workshop at UML 2004, Lisbon, Portugal (2004), http://megaplanet.org/jean-marie-favre/papers/TowardsABasicTheoryToModelModelDrivenEngineering.pdf (accessed May 13, 2010)

  125. Hoppenbrouwers, S.J.B.A., Proper, H.A(E.), van der Weide, T.P.: A Fundamental View on the Process of Conceptual Modeling. In: Delcambre, L.M.L., Kop, C., Mayr, H.C., Mylopoulos, J., Pastor, Ó. (eds.) ER 2005. LNCS, vol. 3716, pp. 128–143. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  126. Siau, K., Tan, X.: Improving the quality of conceptual modeling using cognitive mapping techniques. Data & Knowledge Eng. 55, 343–365 (2005)

    Article  Google Scholar 

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  1. School of Software Faculty of Engineering and Information Technology, University of Technology, Sydney, P.O. Box 123, Broadway, NSW, 2007, Australia

    Brian Henderson-Sellers

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  1. Brian Henderson-Sellers
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  1. Gymnasium Gerresheim, Am Poth 60, 40625, Düsseldorf, Germany

    Roland Kaschek

  2. Maseeh College of Engineering and Computer Science, Computer Science Department, Portland State University, P.O. Box 751, 97207-0751, Portland, OR, USA

    Lois Delcambre

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Henderson-Sellers, B. (2011). Random Thoughts on Multi-level Conceptual Modelling. In: Kaschek, R., Delcambre, L. (eds) The Evolution of Conceptual Modeling. Lecture Notes in Computer Science, vol 6520. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17505-3_5

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  • DOI: https://doi.org/10.1007/978-3-642-17505-3_5

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