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Application of the OIRE method—tool support and initial feedback from two chinese companies

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Abstract

To (semi-)automatically classify user needs that are collected from online open sources, we propose the Open Innovation in Requirements Engineering (OIRE) method. OIRE is mimicking the well-known Kano model exclusively using data from online reviews instead of conducting interviews with select focus groups. In our previous research, we introduced the design, implementation and preliminary validation of the applicability of the OIRE method. In this article, we introduce the tool support for the OIRE method, OIRE-System (OIRE-S), and evaluate the usefulness of the OIRE method using OIRE-S in an industry setting. For that purpose, we conducted one case study with two Chinese companies that plan to have software apps developed by suppliers. In addition, we conducted interviews about the case study with two addition stakeholders. Based on the analysis results of the case study and the interview study, we conclude that the OIRE method provides helpful information for stakeholders and, thus, is useful to decision-makers in industry, in particular as a complement to existing requirements elicitation and analysis activities.

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Notes

  1. https://figshare.com/articles/media/OIRE_Demo_Video/7058999

  2. We use the package ’e1071’ developed by TU Wien, Austria

  3. https://figshare.com/s/9bc19c086449be76ed90

  4. http://android.kuchuan.com/page/detail/index (accessed: 15-October-2018)

  5. http://www.shipfinder.com/

  6. https://xy.ship56.net/

  7. http://www.xcw9898.com/

  8. http://m.msa.gov.cn

  9. https://bosonnlp.com/product/intro (accessed: 22-October-2018)

  10. If the feature list had already been provided in English, we had used an English-language online synonym dictionary (http://www.thesaurus.com/ (accessed: 15-October-2018).).

  11. https://fanyi.baidu.com/ (accessed: 15-October-2018)

  12. https://www.codoon.com/ (accessed: 15-October-2018)

  13. https://fanyi.baidu.com/ (accessed: 15-October-2018)

  14. https://translate.google.com

  15. https://fanyi.youdao.com

  16. https://www.bing.com/translator

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  1. Institute of Computer Science, University of Tartu, Tartu, Estonia

    Huishi Yin & Dietmar Pfahl

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  1. Huishi Yin
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Yin, H., Pfahl, D. Application of the OIRE method—tool support and initial feedback from two chinese companies. Software Qual J 29, 783–815 (2021). https://doi.org/10.1007/s11219-021-09562-1

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