A Framework for Situational and Evolutionary Language Adaptation in Information Systems Development

  • Jörg Becker
  • Christian Janiesch
  • Stefan Seidel
  • Christian Brelage

Information systems (IS) are socio-technical, man-machine systems that are used to provide effective support for the management and coordination of information and communication while maintaining economical efficiency (cf. (Davis and Olsen 1985), similarly (Hirschheim et al. 1995; Checkland and Scholes 1999)). According to Hirschheim et al. (1995) IS development is a change process undertaken in object systems in a number of environments by a development group to achieve objectives. To facilitate the exchange of thoughts, opinions, and beliefs about the IS development process and its objectives, the development group constructs representation forms of the object system. Conceptual modeling is considered to be a suitable means for creating such representation forms (Frank 1999).


Modeling Language Information System Language Adaptation Meta Modeling Information System Development 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. Aydin MN, Harmsen F, Slooten van K, Stegwee R (2004) Appropriate Delivery of Advice and Guidance on Method Adaptation. 10th Americas Conference of Information Systems (AMCIS 2004), New York, pp 1675-1681.Google Scholar
  2. Becker J, Kugeler M, Rosemann M (eds) (2006). Process Management: A Guide for the Design of Business Processes. Springer, Berlin, Heidelberg, New York. To Appear.Google Scholar
  3. Bernstein PA (1997) Repositories and Object Oriented Databases. Datenbanksys-teme in Büro, Technik und Wissenschaft (BTW 1997), Ulm, pp 34-46.Google Scholar
  4. Brinkkemper S, Saeki M, Harmsen F (1999) Meta-modelling Based Assembly Techniques for Situational Method Engineering. Information Systems 24:209-228.CrossRefGoogle Scholar
  5. Checkland P, Scholes J (1999) Soft Systems Methodology in Action, Chichester.Google Scholar
  6. Chen PP-S (1976) The Entity-Relationship Model. Toward a Unified View of Data. ACM Transactions on Database Systems (TODS) 1:9-36.CrossRefGoogle Scholar
  7. Davis GB, Olsen MH (1985) Management Information Systems - Conceptual Foundations, Structure, and Development, New York.Google Scholar
  8. Frank U (1999) Conceptual Modelling as the Core of the Information Systems Discipline - Perspectives and Epistemological Challenges. 5th America's Con-ference on Information Systems (AMCIS 99), Milwaukee, pp 695-697.Google Scholar
  9. Gordon JL (2000) Creating Knowledge Maps by Exploiting Dependent Relation-ships. Knowledge Based Systems 13:71-79.CrossRefGoogle Scholar
  10. Harmsen AF (1997) Situational Method Engineering. Dissertation, Utrecht.Google Scholar
  11. Hirschheim R, Klein HK, Lyytinen K (1995) Information Systems Development and Data Modeling. Conceptual and Philosophical Foundations. Cambridge University Press, Cambridge.Google Scholar
  12. Holten R (2003a) Integration von Informationssystemen - Theorie und An-wendung im Supply Chain Management. Habilitation, Münster.Google Scholar
  13. Holten R (2003b) Specification of Management Views in Information Warehouse Projects. Information Systems 28:709-751.CrossRefGoogle Scholar
  14. Kelly S, Rossi M, Tolvanen J-P (2005) What is Needed in a MetaCASE Environ-ment? Enterprise Modelling and Information Systems Architectures 1:25-35.Google Scholar
  15. Luoma J, Kelly S, Tolvanen J-P (2004) Defining Domain-Specific Modeling Lan-guages: Collected Experiences. 4th OOPSLA Workshop on Domain-Specific Modeling (DSM 2004), Vancouver, pp.Google Scholar
  16. Marttiin P, Lyytinen K, Rossi M, Tahvanainen V-P, Smolander K, Tolvanen J-P (1995) Modeling Requirements for Future CASE: Modeling Issues and Archi-tectural Consideration. Information Resources Management Journal 8:15-25.Google Scholar
  17. Odell JJ (1996) A primer to method engineering. In: Brinkkemper S, Lyytinen K, Welke RJ (eds). Method engineering: Principles of method construction and tool support. London, Chapman & Hall, London, pp 1-7.Google Scholar
  18. Oei JLH, van Hemmen JGT, Falkenberg ED, Brinkkemper S (1992) The Meta Model Hierarchy: A Framework for Information Systems Concepts and Tech-niques, University of Nijmegen Technical Report 92-17.Google Scholar
  19. Nijmegen. Rossi M, Ramesh B, Lyytinen K, Tolvanen J-P (2004) Managing Evolutionary Method Engineering by Method Rationale. Journal of the Association for In-formation Systems 5:356-391.Google Scholar
  20. Sapia C, Blaschka M, Höfling G, Dinter B (1998) Extending the E/R Model for the Multidimensional Paradigm. International Workshop on Data Warehouse and Data Mining (DWDM 1998), Singapore, pp 105-116.Google Scholar
  21. Scheer A-W (1998) Wirtschaftsinformatik. Springer, Berlin.Google Scholar
  22. Sinz EJ (1988) Das Strukturierte Entity-Relationship-Modell(SER-Modell). Angewandte Informatik 30:191-202.Google Scholar
  23. Smith JM, Smith DCP (1977) Database Abstractions: Aggregation and Generali-zation. ACM Transactions on Database Systems (TODS) 2:105-133.CrossRefGoogle Scholar
  24. Strahringer S (1996) Metamodellierung als Instrument des Methodenvergleichs -Eine Evaluierung am Beispiel objektorientierter Analysemethoden. Disserta-tion. Shaker Verlag, Aachen.Google Scholar
  25. Tolvanen J-P (1998) Incremental Method Engineering with Modeling Tools -Theoretical Principles and Empirical Evidence. Dissertation, Jyväskylä.Google Scholar
  26. Wand Y, Storey VC, Weber R (1999) An Ontological Analysis of the Relationship Construct in Conceptual Modeling. ACM Transactions on Database Systems (TODS) 24:494-528.CrossRefGoogle Scholar
  27. Wand Y, Weber R (2002) Research Commentary: Information Systems and Con-ceptual Modeling - A Research Agenda. Information Systems Research 13:363-376.CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC 2007

Authors and Affiliations

  • Jörg Becker
    • 1
  • Christian Janiesch
    • 1
  • Stefan Seidel
    • 1
  • Christian Brelage
    • 2
  1. 1.European Research Center for Information SystemsGermany
  2. 2.SAP Research CEC KarlsruheGermany

Personalised recommendations