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Natural Language Processing in OTF Computing: Challenges and the Need for Interactive Approaches

Semantic Information Processing Group, Paderborn University, 33100 Paderborn, Germany
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Computers 2019, 8(1), 22; https://doi.org/10.3390/computers8010022
Received: 22 January 2019 / Revised: 23 February 2019 / Accepted: 3 March 2019 / Published: 6 March 2019
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Abstract

The vision of On-the-Fly (OTF) Computing is to compose and provide software services ad hoc, based on requirement descriptions in natural language. Since non-technical users write their software requirements themselves and in unrestricted natural language, deficits occur such as inaccuracy and incompleteness. These deficits are usually met by natural language processing methods, which have to face special challenges in OTF Computing because maximum automation is the goal. In this paper, we present current automatic approaches for solving inaccuracies and incompletenesses in natural language requirement descriptions and elaborate open challenges. In particular, we will discuss the necessity of domain-specific resources and show why, despite far-reaching automation, an intelligent and guided integration of end users into the compensation process is required. In this context, we present our idea of a chat bot that integrates users into the compensation process depending on the given circumstances. View Full-Text
Keywords: inaccuracy detection; natural language software requirements; chat bot inaccuracy detection; natural language software requirements; chat bot
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Bäumer, F.S.; Kersting, J.; Geierhos, M. Natural Language Processing in OTF Computing: Challenges and the Need for Interactive Approaches. Computers 2019, 8, 22.

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