Abstract
As most software requirements are written in natural language, they are unstructured and do not adhere to any formalism. Processing them automatically—within the context of software requirements engineering tasks—thus becomes difficult for machines. As a step towards adding structure to requirements documents, we exploited frames in FrameNet and applied them to the semantic annotation of software descriptions. This was carried out through an approach based on automated lexical unit matching, manual validation and harmonisation. As a result, we produced a novel corpus of requirements documents containing software descriptions which have been assigned a total of 242 unique semantic frames overall. Our evaluation of the resulting annotations shows substantial agreement between our two annotators, encouraging us to pursue finer-grained semantic annotation as part of future work.
| Original language | English |
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| Publication status | Published - 7 May 2018 |