Flexible Ambiguity Resolution and Incompleteness Detection in Requirements Descriptions via an Indicator-based Configuration of Text Analysis Pipelines

F.S. Bäumer, M. Geierhos, in: Proceedings of the 51st Hawaii International Conference on System Sciences, 2018, pp. 5746–5755.

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Abstract
Natural language software requirements descriptions enable end users to formulate their wishes and expectations for a future software product without much prior knowledge in requirements engineering. However, these descriptions are susceptible to linguistic inaccuracies such as ambiguities and incompleteness that can harm the development process. There is a number of software solutions that can detect deficits in requirements descriptions and partially solve them, but they are often hard to use and not suitable for end users. For this reason, we develop a software system that helps end-users to create unambiguous and complete requirements descriptions by combining existing expert tools and controlling them using automatic compensation strategies. In order to recognize the necessity of individual compensation methods in the descriptions, we have developed linguistic indicators, which we present in this paper. Based on these indicators, the whole text analysis pipeline is ad-hoc configured and thus adapted to the individual circumstances of a requirements description.
Publishing Year
Proceedings Title
Proceedings of the 51st Hawaii International Conference on System Sciences
Page
5746-5755
Conference
51st Hawaii International Conference on System Sciences (HICSS 2018)
Conference Location
Big Island, Waikoloa Village
Conference Date
2018-01-03 – 2018-01-06
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Bäumer FS, Geierhos M. Flexible Ambiguity Resolution and Incompleteness Detection in Requirements Descriptions via an Indicator-based Configuration of Text Analysis Pipelines. In: Proceedings of the 51st Hawaii International Conference on System Sciences. ; 2018:5746-5755. doi:10125/50609
Bäumer, F. S., & Geierhos, M. (2018). Flexible Ambiguity Resolution and Incompleteness Detection in Requirements Descriptions via an Indicator-based Configuration of Text Analysis Pipelines. In Proceedings of the 51st Hawaii International Conference on System Sciences (pp. 5746–5755). Big Island, Waikoloa Village. https://doi.org/10125/50609
@inproceedings{Bäumer_Geierhos_2018, title={Flexible Ambiguity Resolution and Incompleteness Detection in Requirements Descriptions via an Indicator-based Configuration of Text Analysis Pipelines}, DOI={10125/50609}, booktitle={Proceedings of the 51st Hawaii International Conference on System Sciences}, author={Bäumer, Frederik Simon and Geierhos, Michaela}, year={2018}, pages={5746–5755} }
Bäumer, Frederik Simon, and Michaela Geierhos. “Flexible Ambiguity Resolution and Incompleteness Detection in Requirements Descriptions via an Indicator-Based Configuration of Text Analysis Pipelines.” In Proceedings of the 51st Hawaii International Conference on System Sciences, 5746–55, 2018. https://doi.org/10125/50609.
F. S. Bäumer and M. Geierhos, “Flexible Ambiguity Resolution and Incompleteness Detection in Requirements Descriptions via an Indicator-based Configuration of Text Analysis Pipelines,” in Proceedings of the 51st Hawaii International Conference on System Sciences, Big Island, Waikoloa Village, 2018, pp. 5746–5755.
Bäumer, Frederik Simon, and Michaela Geierhos. “Flexible Ambiguity Resolution and Incompleteness Detection in Requirements Descriptions via an Indicator-Based Configuration of Text Analysis Pipelines.” Proceedings of the 51st Hawaii International Conference on System Sciences, 2018, pp. 5746–55, doi:10125/50609.
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