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On the Complexity of Requirements Engineering for Decision-Support Systems: The CID Case Study

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Business Intelligence (eBISS 2014)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 205))

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Abstract

The Chagas disease is classified as a life-threatening disease by the World Health Organization (WHO) and is currently causing death to 534,000 people every year. In order to advance with the disease control, the WHO presented a strategy that included the development of the Chagas Information Database (CID) for surveillance to raise awareness about Chagas. CID is defined as a decision-support system to support national and international authorities in both their day-by-day and long-term decision making. The requirements engineering to develop this project was particularly complex and Pohl’s framework was followed. This paper describes the results of applying the framework in this project. Thus, it focuses on the requirements engineering stage. The difficulties found motivated the further study and analysis of the complexity of requirements engineering in decision-support systems and the feasibility of using said framework.

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Notes

  1. 1.

    http://www.who.int/about/en/.

  2. 2.

    Chagas disease is named after Carlos Ribeiro Justino Chagas, a Brazilian doctor who first discovered the disease in 1909 [5].

  3. 3.

    A disease of wild animals [5].

  4. 4.

    Vector that have been transmitting the Chagas disease among animals for 10 million years [5].

  5. 5.

    A disease that is transmitted between animals and humans endemically [5].

  6. 6.

    http://gamapserver.who.int/mapLibrary/

  7. 7.

    http://freemind.sourceforge.net/.

  8. 8.

    http://www.balsamiq.com.

  9. 9.

    http://tortoisesvn.net/.

  10. 10.

    http://www.sparxsystems.com/.

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Correspondence to Oscar Romero .

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Raventós, R., García, S., Romero, O., Abelló, A., Viñas, J. (2015). On the Complexity of Requirements Engineering for Decision-Support Systems: The CID Case Study. In: Zimányi, E., Kutsche, RD. (eds) Business Intelligence. eBISS 2014. Lecture Notes in Business Information Processing, vol 205. Springer, Cham. https://doi.org/10.1007/978-3-319-17551-5_1

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  • DOI: https://doi.org/10.1007/978-3-319-17551-5_1

  • Publisher Name: Springer, Cham

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