NFRfinder
| Autor: | Eduardo Almentero, Lyrene Fernandes da Silva, Roxana Lisette Quintanilla Portugal, Tong Li, Julio Cesar Sampaio do Prado Leite |
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| Rok vydání: | 2018 |
| Předmět: |
Non-functional requirement
Process management business.industry Computer science media_common.quotation_subject 020207 software engineering 02 engineering and technology Requirements elicitation Task (project management) Knowledge base Tacit knowledge 020204 information systems 0202 electrical engineering electronic engineering information engineering Quality (business) business Set (psychology) Precision and recall media_common |
| Zdroj: | SBES |
| DOI: | 10.1145/3266237.3266269 |
| Popis: | A challenge in requirements elicitation is to identify quality requirements, i.e. non-functional requirements (hereafter, NFR). In general, stakeholders need NFRs, but these requirements are not always explicit, they can be part of the tacit knowledge. The usual strategy adopted by requirements engineers to elicit NFRs is to act proactively by asking stakeholders their interests in qualities based on lists or catalogs. NFRFinder is a semi-automated process strategy for mining keywords. The strategy uses the keywords to find possible NFRs in unstructured texts, e.g. the meeting minutes that occur during an elicitation task. The strategy relies on catalogs, according to the NFR Framework, as a supporting knowledge base. However, to gain more confidence on the NFRFinder, we have applied it to a set of structured texts. We report on the recall and precision of NFRFinder using a gold standard built from different actors, for requirements sentences. The results are promising, and we point out towards the evolution of NFRFinder. |
| Databáze: | OpenAIRE |
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