Continuous Requirements Engineering Support Environment Model in Methodologically Heterogeneous Projects

  • Anita FinkeEmail author
Conference paper
Part of the Lecture Notes in Business Information Processing book series (LNBIP, volume 303)


In the result of scientific and technological evolution in Software and Requirements Engineering fields many techniques, methods and tools have been developed to support our daily work. Most of them are more suited for big organizations and companies. Of course this is a positive development that brings value to engineering. But not always these innovations bring value to small or medium companies working on Information Systems development and support projects. A good example is the issues with requirements management in long term use of requirements and system. If we use agile methods, in most cases in practice, the documentation is very poor or limited. Another example is the waterfall method where the documentation is developed in the beginning of the project, but at the end of the project the requirements can be changed (in practice). This all can bring us to certain problems in future work. For example, how will we know the build of a certain system, how it must work etc. This work is focusing on requirements inheritance and availability issue in small and medium companies with heterogeneous projects.


Requirements engineering Requirements distribution Continuous requirement engineering 


  1. 1.
    Young, R.R.: The Requirements Engineering Handbook. Artech House, Norwood (2004)Google Scholar
  2. 2.
    International Institute of Business Analysis: A Guide to the Business Analysis Body of Knowledge v3 (2015)Google Scholar
  3. 3.
    Bourque, P., Fairley, R.E.: Guide to the Software Engineering - Body of Knowledge. IEEE Computer Society, Washington, D.C. (2014)Google Scholar
  4. 4.
    Aziz, R.A., Wong, B.: The interplay between requirements relationships knowledge and requirements change towards software project success: an assessment using partial least square (PLS). Procedia Comput. Sci. 46, 732–741 (2015)CrossRefGoogle Scholar
  5. 5.
    Ebert, C., De Man, J.: Requirements uncertainty: influencing factors and concrete improvements. In: Proceedings of the 27th International Conference on Software Engineering, ICSE 2005, pp. 553–560 (2005)Google Scholar
  6. 6.
    Kirikova, M.: Enterprise Architecture and Knowledge Perspectives on Continuous Requirements Engineering (2015). Accessed 10 Jan 2016
  7. 7.
    Maalej, W., Kumar Thurimella, A.: Towards a research agenda for recommendation systems in requirements engineering. In: 2009 Second International Workshop on Managing Requirements Knowledge (MaRK 2009) (2010)Google Scholar
  8. 8.
    Finke, A.: Requirements Inheritance in continuous requirements engineering: a position paper, CRE 2017 (2016)Google Scholar
  9. 9.
    Atlassian: JIRA Products. Accessed 02 Jan 2017
  10. 10.
    Sandkuhl, K., Stirna, J., Persson, A., Wißotzki, M.: Elicitation approaches in enterprise modeling. In: Sandkuhl, K., Stirna, J., Persson, A., Wißotzki, M. (eds.) Enterprise Modeling: Tackling Business Challenges with the 4EM Method. TEES, pp. 39–51. Springer, Heidelberg (2014). doi: 10.1007/978-3-662-43725-4_4 Google Scholar
  11. 11.
    Finance, J.-P. (ed.): Fundamental Approaches to Software Engineering, vol. 1577. Springer, Heidelberg (1999)Google Scholar
  12. 12.
    Balco, P., Drahošova, M.: Knowledge management as a service (KMaaS). In: 2016 4th International Conference on Future Internet of Things and Cloud Workshops (2016)Google Scholar
  13. 13.
    Mercier-Laurent, E.: Knowledge management and risk management. In: Proceeding of the Federated Conference on Computer Science and Information Systems, pp. 1369–1373 (2016)Google Scholar
  14. 14.
    Pilat, L., Kaindl, H.: A knowledge management perspective of requirements engineering. In: 2011 Fifth International Conference on Research Challenges in Information Science (RCIS) (2011)Google Scholar
  15. 15.
    Mäntymäki, M., Riemer, K.: Enterprise social networking: a knowledge management perspective. Int. J. Inf. Manag. 36(2016), 1042–1052 (2016)CrossRefGoogle Scholar
  16. 16.
    Besrour, S., Bin, L., Rahim, A.B., Dominic, P.D.D.: A quantitative study to identify critical requirement engineering challenges in the context of small and medium software enterprises. In: 2016 3rd International Conference on Computer and Information Sciences (ICCOINS) (2016)Google Scholar
  17. 17.
    Finke, A.: Socialization aspect in requirements engineering. In: REFSQ 2017 Joint Proceedings of the Co-located Events (2017)Google Scholar
  18. 18.
    Wieringa, R.J.: Design Science Methodology for Information Systems and Software Engineering. Springer, Heidelberg (2014)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.Riga Technical UniversityRigaLatvia

Personalised recommendations