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International Conference on Human-Computer Interaction

HCII 2022: HCI International 2022 Posters pp 419–426Cite as

Chatbot-Enhanced Requirements Resolution for Automated Service Compositions

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Part of the Communications in Computer and Information Science book series (CCIS,volume 1580)

Abstract

This work addresses the automatic resolution of software requirements. In the vision of On-The-Fly Computing, software services should be composed on demand, based solely on natural language input from human users. To enable this, we build a chatbot solution that works with human-in-the-loop support to receive, analyze, correct, and complete their software requirements. The chatbot is equipped with a natural language processing pipeline and a large knowledge base, as well as sophisticated dialogue management skills to enhance the user experience. Previous solutions have focused on analyzing software requirements to point out errors such as vagueness, ambiguity, or incompleteness. Our work shows how apps can collaborate with users to efficiently produce correct requirements. We developed and compared three different chatbot apps that can work with built-in knowledge. We rely on ChatterBot, DialoGPT and Rasa for this purpose. While DialoGPT provides its own knowledge base, Rasa is the best system to combine the text mining and knowledge solutions at our disposal. The evaluation shows that users accept 73% of the suggested answers from Rasa, while they accept only 63% from DialoGPT or even 36% from ChatterBot.

Keywords

  • On-The-Fly Computing
  • Chatbot
  • Knowledge base

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Notes

  1. 1.

    The dataset can be found at https://github.com/marcoortu/jira-social-repository, accessed 2021-12-17.

  2. 2.

    ChatterBot can be found at http://chatterbot.readthedocs.io, accessed 2021-12-17.

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Acknowledgements

This work was partially supported by the German Research Foundation (DFG) within the Collaborative Research Center On-The-Fly Computing (CRC 901). We thank F. S. Bäumer, E. Friesen, and others for their support.

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Authors and Affiliations

  1. Paderborn University, Paderborn, Germany

    Joschka Kersting & Mobeen Ahmed

  2. Research Institute CODE, Bundeswehr University Munich, Munich, Germany

    Michaela Geierhos

Authors
  1. Joschka Kersting
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  2. Mobeen Ahmed
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  3. Michaela Geierhos
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Corresponding author

Correspondence to Joschka Kersting .

Editor information

Editors and Affiliations

  1. University of Crete and Foundation for Research and Technology – Hellas (FORTH), Heraklion, Crete, Greece

    Constantine Stephanidis

  2. Foundation for Research and Technology – Hellas (FORTH), Heraklion, Crete, Greece

    Margherita Antona

  3. Foundation for Research and Technology – Hellas (FORTH), Heraklion, Crete, Greece

    Stavroula Ntoa

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Kersting, J., Ahmed, M., Geierhos, M. (2022). Chatbot-Enhanced Requirements Resolution for Automated Service Compositions. In: Stephanidis, C., Antona, M., Ntoa, S. (eds) HCI International 2022 Posters. HCII 2022. Communications in Computer and Information Science, vol 1580. Springer, Cham. https://doi.org/10.1007/978-3-031-06417-3_56

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  • DOI: https://doi.org/10.1007/978-3-031-06417-3_56

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