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Annual International Symposium on Information Management and Big Data

SIMBig 2018: Information Management and Big Data pp 13–18Cite as

Data-Driven Requirements Engineering. The SUPERSEDE Way

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 898))

Abstract

This keynote addresses the challenges and opportunities for today requirements engineering, which are introduced by the ever growing amount of data generated by software at use. Data analytics techniques, which exploit artificial intelligence algorithms can be used to build tools to support requirements engineers to take faster and better quality decisions.

A concrete example is the SUPERSEDE tool-suite that supports planning new software releases on the basis of the analysis of user feedback and usage data. Main open research challenges are pointed out.

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Notes

  1. 1.

    SUpporting evolution and adaptation of PERsonalized Software by Exploiting contextual Data and End-user feedback, H2020 EU funded project, http://www.supersede.eu.

  2. 2.

    https://www.atlassian.com/software/jira.

  3. 3.

    https://github.com/supersede-project.

References

  1. Ameller, D., Farré, C., Franch, X., Cassarino, A., Valerio, D., Elvassore, V.: Replan: a release planning tool. In: 2017 IEEE 24th International Conference on Software Analysis, Evolution and Reengineering (SANER), pp. 516–520. IEEE (2017)

    Google Scholar 

  2. Buse, R.P., Zimmermann, T.: Information needs for software development analytics. In: Proceedings of the 34th International Conference on Software Engineering, pp. 987–996. IEEE Press (2012)

    Google Scholar 

  3. Busetta, P., Kifetew, F.M., Munante, D., Perini, A., Siena, A., Susi, A.: Tool-supported collaborative requirements prioritisation. In: 2017 IEEE 41st Annual Computer Software and Applications Conference (COMPSAC), vol. 1, pp. 180–189. IEEE (2017)

    Google Scholar 

  4. Czarnecki, K.: Requirements engineering in the age of societal-scale cyber-physical systems: the case of automated driving. In: IEEE 26th International RE Conference, Banff, Alberta, Canada, 20–24 August 2018, pp. 3–4 (2018)

    Google Scholar 

  5. Franch, X., et al.: A situational approach for the definition and tailoring of a data-driven software evolution method. In: 30th International Conference on Advanced Information Systems Engineering, CAiSE 2018, Proceedings, Tallinn, Estonia, 11–15 June 2018, pp. 603–618 (2018). https://doi.org/10.1007/978-3-319-91563-0_37

    Chapter  Google Scholar 

  6. Groen, E.C., et al.: The crowd in requirements engineering: the landscape and challenges. IEEE Softw. 34(2), 44–52 (2017). https://doi.org/10.1109/MS.2017.33

    Article  Google Scholar 

  7. Guzman, E., Alkadhi, R., Seyff, N.: An exploratory study of Twitter messages about software applications. Requirements Eng. 22(3), 387–412 (2017)

    Article  Google Scholar 

  8. Maalej, W., Nayebi, M., Johann, T., Ruhe, G.: Toward data-driven requirements engineering. IEEE Softw. 33(1), 48–54 (2016). https://doi.org/10.1109/MS.2015.153

    Article  Google Scholar 

  9. Morales-Ramirez, I., Munante, D., Kifetew, F., Perini, A., Susi, A., Siena, A.: Exploiting user feedback in tool-supported multi-criteria requirements prioritization. In: 2017 IEEE 25th International Requirements Engineering Conference (RE), pp. 424–429, September 2017. https://doi.org/10.1109/RE.2017.41

  10. Morales-Ramirez, I., Kifetew, F.M., Perini, A.: Analysis of online discussions in support of requirements discovery. In: Dubois, E., Pohl, K. (eds.) CAiSE 2017. LNCS, vol. 10253, pp. 159–174. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-59536-8_11

    Chapter  Google Scholar 

  11. Morales-Ramirez, I., Kifetew, F.M., Perini, A.: Speech-acts based analysis for requirements discovery from online discussions. Inf. Syst. (2018). https://doi.org/10.1016/j.is.2018.08.003, http://www.sciencedirect.com/science/article/pii/S0306437917306087

  12. Morales-Ramirez, I., Perini, A., Guizzardi, R.S.S.: An ontology of online user feedback in software engineering. Appl. Ontol. 10(3–4), 297–330 (2015). https://doi.org/10.3233/AO-150150

    Article  Google Scholar 

  13. Nadal, S., et al.: A software reference architecture for semantic-aware big data systems. Inf. Softw. Technol. 90, 75–92 (2017)

    Article  Google Scholar 

  14. Niu, N., Brinkkemper, S., Franch, X., Partanen, J., Savolainen, J.: Requirements engineering and continuous deployment. IEEE Softw. 35(2), 86–90 (2018). https://doi.org/10.1109/MS.2018.1661332

    Article  Google Scholar 

  15. Oriol, M., et al.: FAME: supporting continuous requirements elicitation by combining user feedback and monitoring. In: IEEE 26th International RE Conference, Banff, Alberta, Canada, 20–24 August 2018, pp. 217–227 (2018)

    Google Scholar 

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Acknowledgement

This keynote leverages on results from the SUPERSEDE project, funded by the H2020 EU Framework Programme under agreement number 644018. I’d like to thank the SimBIG 2018 program co-chairs for their invitation to give this keynote, and Universidad del Pacífico for supporting my participation to the conference.

Author information

Authors and Affiliations

  1. Fondazione Bruno Kessler (FBK), Via Sommarive 18, Trento, Italy

    Anna Perini

Authors
  1. Anna Perini
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Corresponding author

Correspondence to Anna Perini .

Editor information

Editors and Affiliations

  1. Biomedical Informatics, College of Medicine, University of Florida, Gainesville, FL, USA

    Juan Antonio Lossio-Ventura

  2. Fondazione Bruno Kessler, Trento, Italy

    Denisse Muñante

  3. Facultad de Ingeniería, University of the Pacific, Jesús María, Lima, Peru

    Hugo Alatrista-Salas

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Perini, A. (2019). Data-Driven Requirements Engineering. The SUPERSEDE Way. In: Lossio-Ventura, J., Muñante, D., Alatrista-Salas, H. (eds) Information Management and Big Data. SIMBig 2018. Communications in Computer and Information Science, vol 898. Springer, Cham. https://doi.org/10.1007/978-3-030-11680-4_3

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  • DOI: https://doi.org/10.1007/978-3-030-11680-4_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-11679-8

  • Online ISBN: 978-3-030-11680-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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