NLP in OTF Computing: Current Approaches and Open Challenges

Bäumer, Frederik Simon; Geierhos, Michaela

doi:10.1007/978-3-319-99972-2_46

Cited by 1 publication

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“…Software requirements are challenging from a user perspective because they often allow a high degree of freedom in project implementation due to inaccuracies [1]. The idea of On-The-Fly (OTF) Computing (Additional information about OTF Computing; https://sfb901.upb.de).…”

Section: Introductionmentioning

confidence: 99%

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

2019

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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.

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Section: Introductionmentioning

confidence: 99%