Skip to main content
SpringerLink
Log in
Book cover

First International Conference on Sustainable Technologies for Computational Intelligence pp 11–20Cite as

Toward Development Framework for Eliciting and Documenting Knowledge in Requirements Elicitation

  • Conference paper
  • First Online:

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1045))

Abstract

Requirements engineering (RE) is the most critical factor in the success or failure of project. A project’s success completely depends on the knowledge and experience of the stakeholders. RE is a team-based process and collaborative task, which involves a huge volume of deliberation and discussion between stakeholders, and comes from their tacit knowledge. During the RE process, the presence of unclear or hidden tacit knowledge causes ambiguity, incomplete, and incorrect requirements. To address these issues, we intended to propose a collaborative knowledge management system framework for identifying, categorizing, eliciting, and managing the requirements tacit knowledge that are required for software development. This work proposes a framework that is based on a combination of rationale-based model and domain ontology. In this paper, a comparison between some of methods that have been used for requirements elicitation and tacit knowledge elicitation with the proposed framework as an evaluation method was presented.

This is a preview of subscription content, log in via an institution.

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  1. Wong, L.R., Mauricio, D.S., Rodriguez, G.D.: A systematic literature review about software requirements elicitation. J. Eng. Sci. Technol. 12(2), 296–317 (2017)

    Google Scholar 

  2. Femmer, H.: Requirements engineering artifact quality: definition and control, Ph.D. Thesis, Technische Universität München (2017)

    Google Scholar 

  3. Sukumaran, S. Chandran, K.: The unspoken Requirements-eliciting tacit knowledge as building blocks for knowledge management systems. In: Uden, L., et al. (eds.) Knowledge Management in Organizations 2015, LNBIP, vol. 224, pp. 26–40, Springer, Cham (2015)

    Google Scholar 

  4. Ferrari, A., Spoletini, P., Gnesi, S.: Ambiguity and tacit knowledge in requirements elicitation interviews. Requirements Eng. 21(3), 333–355 (2016)

    Article  Google Scholar 

  5. Vasanthapriyan, S., Tian, J., Xiang, J.: A survey on knowledge management in software engineering. In: 2015 IEEE International Conference on Software Quality, Reliability and Security-Companion (QRS-C). IEEE (2015)

    Google Scholar 

  6. Sánchez, K.O., Osollo, J.R., Martínez, L.F., Rocha, V.M.: Requirements engineering based on knowledge: a comparative case study of the KMoS-RE strategy and the DMS process. Rev. Fac. de Ingeniería 77, 88–94 (2015)

    Google Scholar 

  7. Emebo, O., Varde, A.S., Daramola, O.: Common sense knowledge, ontology and text mining for implicit requirements. In: International Conference on Data Mining (DMIN). The Steering Committee of The World Congress in Computer Science, Computer Engineering and Applied Computing (WorldComp) (2016)

    Google Scholar 

  8. Sandhu, R.K., Weistroffer, H.R.: A review of fundamental tasks in requirements elicitation. In: Wrycza, S., Maślankowski, J. (eds.) SIGSAND/PLAIS 2018, LNBIP 333, pp. 31–44. Springer, Cham (2018)

    Google Scholar 

  9. Polanyi, M.: The Tacit Dimension. Routlege and Kegan, London (1966)

    Google Scholar 

  10. Coppedge, B.B.: Transferring tacit knowledge with the movement of people: a Delphi study. In: Business Administration, Ph.D. Thesis, University of Phoenix (2010)

    Google Scholar 

  11. Kotz, T., Smuts, H.: Model for knowledge capturing during system requirements elicitation in a high reliability organization: a case study. In: Proceedings of the Annual Conference of the South African Institute of Computer Scientists and Information Technologists, p. 305–312. ACM, Port Elizabeth, South Africa (2018)

    Google Scholar 

  12. Emebo, O., Olawande, D., Charles, A.: An automated tool support for managing implicit requirements using analogy-based reasoning. In: IEEE Tenth International Conference, Research Challenges in Information Science (RCIS), pp. 1–7. IEEE (2016)

    Google Scholar 

  13. Mohamed, A.H.: Facilitating tacit-knowledge acquisition within requirements engineering. In: Proceedings of the 10th WSEAS International Conference on Applied Computer Science (ACS’10), World Scientific and Engineering Academy and Society (WSEAS), Stevens Point, Wisconsin, USA (2010)

    Google Scholar 

  14. Pantförder, D., Schaupp, J., Vogel-Heuser, B.: Making implicit knowledge explicit—Acquisition of plant staff’s mental models as a basis for developing a decision support system. In: Stephanidis, C. (ed.) HCII Posters 2017, Part I, CCIS, vol. 13, pp. 358–365. Springer, Cham (2017)

    Google Scholar 

  15. Hao, J., Zhao, Q., Yan, Y., Wang, G.: A review of tacit knowledge: current situation and the direction to go. Int. J. Softw. Eng. Knowl. Eng. 27(05), 727–748 (2017)

    Article  Google Scholar 

  16. Castaneda, V., Ballejos, L., Caliusco, M., Galli, M.: The use of ontologies in requirements engineering. Glob. J. Res. In Eng. 10(6), 2–8 (2010)

    Google Scholar 

  17. Mohamed, K.A., Farhan, M.S., Elatif, M.M.A.A.: Ontology-based concept maps for software engineering. In: Computer Engineering Conference (ICENCO), 2013 9th International. IEEE (2013)

    Google Scholar 

  18. Schneider, L., Hajji, K., Schirbaum, A., Basten, D.: Knowledge creation in requirements engineering-a systematic literature review. In: International Proceedings on Proceedings Wirtschaftsinformatik, pp. 1829–1843 (2013)

    Google Scholar 

  19. Turban, B.: Rationale management and traceability in detailed discussion. In: Tool-Based Requirement Traceability between Requirement and Design Artifacts, pp 159–258. Springer Vieweg, Wiesbaden (2013)

    Google Scholar 

  20. Kurtanović, Z., Maalej, W.: On user rationale in software engineering. Requirements Eng. 23(3), 357–379 (2018)

    Article  Google Scholar 

  21. Maalej, W, Thurimella, A.K.: DUFICE: guidelines for a lightweight management of requirements knowledge. In: Maalej, W., Thurimella, A.K. (eds.) Managing Requirements Knowledge, pp. 75–91. Springer, Heidelberg (2013)

    Google Scholar 

  22. Dutoit, A.H., Paech, B.: Rationale-based use case specification. Requirements Eng. 7(1), 3–19 (2002)

    Article  Google Scholar 

  23. Liang, P., Avgeriou, P., He, K.: Rationale management challenges in requirements engineering. In: 2010 Third International Workshop on Managing Requirements Knowledge (MARK), pp. 16–21. IEEE, Sydney, Australia (2010)

    Google Scholar 

  24. Thurimella, A.K., et al.: Guidelines for managing requirements rationales. IEEE Softw. 34(1), 82–90 (2017)

    Article  Google Scholar 

  25. Maalej, W., Thurimella, A.K.: An Introduction to Requirements Knowledge. In: Maalej, W., Thurimella, A.K. (eds.) Managing Requirements Knowledge, pp. 1–20. Springer, Heidelberg (2013)

    Chapter  Google Scholar 

  26. Bugaite, D., Vasilecas, O.: Framework on application domain ontology transformation into set of business rules. In: International Conference on Computer Systems and Technologies–CompSysTech (2005)

    Google Scholar 

  27. Haron, A., et al.: Understanding the requirement engineering for organization: the challenges. In: 8th International Conference on Computing Technology and Information Management (NCM and ICNIT), pp. 561–567. IEEE, Seoul, South Korea (2012)

    Google Scholar 

  28. MacLean, A., et al.: Questions, options, and criteria: elements of design space analysis. Hum. Comput. Interact. 6(3–4), 201–250 (1991)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Information Systems Department, Al Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia

    Halah A. Al-Alsheikh

  2. Information Systems Department, Al Yamamah University, Riyadh, Saudi Arabia

    Hessah A. Alsalamah

  3. Information Systems Department, King Saud University, Riyadh, Saudi Arabia

    Abdulrahman A. Mirza

Authors
  1. Halah A. Al-Alsheikh
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Hessah A. Alsalamah
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Abdulrahman A. Mirza
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Halah A. Al-Alsheikh .

Editor information

Editors and Affiliations

  1. Department of Electrical and Communication Engineering, The Papua New Guinea University of Technology, Lae, Papua New Guinea

    Ashish Kumar Luhach

  2. Neumann János University, Kecskemét, Bács-Kiskun, Hungary

    Janos Arpad Kosa

  3. Amity University, Jaipur, Rajasthan, India

    Ramesh Chandra Poonia

  4. School of Computing, University of Eastern Finland, Kuopio, Finland

    Xiao-Zhi Gao

  5. Department of Computer Science, Namibia University of Science and Technology, Windhoek, Namibia

    Dharm Singh

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Al-Alsheikh, H.A., Alsalamah, H.A., Mirza, A.A. (2020). Toward Development Framework for Eliciting and Documenting Knowledge in Requirements Elicitation. In: Luhach, A., Kosa, J., Poonia, R., Gao, XZ., Singh, D. (eds) First International Conference on Sustainable Technologies for Computational Intelligence. Advances in Intelligent Systems and Computing, vol 1045. Springer, Singapore. https://doi.org/10.1007/978-981-15-0029-9_2

Download citation

Publish with us

Policies and ethics

Search

Navigation