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NLP in OTF Computing: Current Approaches and Open Challenges

  • Frederik S. BäumerEmail author
  • Michaela Geierhos
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 920)

Abstract

On-The-Fly Computing is the vision of covering software needs of end users by fully-automatic compositions of existing software services. End users will receive so-called service compositions tailored to their very individual needs, based on natural language software descriptions. This everyday language may contain inaccuracies and incompleteness, which are well-known challenges in requirements engineering. In addition to existing approaches that try to automatically identify and correct these deficits, there are also new trends to involve users more in the elaboration and refinement process. In this paper, we present the relevant state of the art in the field of automated detection and compensation of multiple inaccuracies in natural language service descriptions and name open challenges needed to be tackled in NL-based software service composition.

Keywords

Inaccuracy detection Natural language software requirements 

Notes

Acknowledgements

This work was partially supported by the German Research Foundation (DFG) within the Collaborative Research Center “On-The-Fly Computing” (SFB 901). Furthermore, we thank our student assistant Edwin Friesen for his contribution.

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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  1. 1.Paderborn UniversityPaderbornGermany

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