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• W2295724997 abstract "We present nlrpBENCH: a new platform and framework to improve soft-ware engineering research as well as teaching with focus on requirements engineeringduring the software engineering process. It is available on http://nlrp.ipd.kit.edu.Recent advances in natural language processing have made it possible to processtextual software requirements automatically, for example checking them for flaws ortranslating them into software artifacts. This development is particularly fortunate,as the majority of requirements is written in unrestricted natural language. However,many of the tools in in this young area of research have been evaluated only on limitedsets of examples, because there is no accepted benchmark that could be used to assessand compare these tools. To improve comparability and thereby accelerate progress,we have begun to assemble nlrpBENCH, a collection of requirements specificationsmeant both as a challenge for tools and a yardstick for comparison.We have gathered over 50 requirement texts of varying length and difficulty andorganized them in benchmark sets. At present, there are two task types: model extrac-tion (e.g., generating UML models) and text correction (e.g., eliminating ambiguities).Each text is accompanied by the expected result and metrics for scoring results. Thispaper describes the composition of the benchmark and the sources. Due to the brevityof this paper, we omit example tools comparisons which are also available." @default.
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• W2295724997 date "2014-01-01" @default.
• W2295724997 modified "2023-09-28" @default.
• W2295724997 title "nlrpBENCH: A Benchmark for Natural Language Requirements Processing" @default.
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• W2295724997 doi "https://doi.org/10.5445/ir/1000041252" @default.
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