Inconsistency detection Sample Clauses

Inconsistency detection. The issues of detecting inconsistencies in requirements have received less attention when compared to detecting inconsistencies in requirements models (e.g., Escalona2013, Perrouin2009, Ali2013). Inconsistency detection has been discussed implicitly in (Jain2009) and (Verma2008), whereas in (Zhu2005), a domain ontology is used as the basis for identifying inconsistencies. The domain ontology, which is based on an abstract requirements refinement process model, serves as an infrastructure for the refinement of software requirements, with the aim of acquiring comparable requirements descriptions. Thus, requirements inconsistency can be measured based on tangent plane of requirements refinement tree, after inconsistent relations of leaf nodes at semantic level have been detected. Inconsistency detection in (Misra2016) is based on a content analysis technique that exploits the extraction, from requirement documents, of the interactions between the entities described in the document as Subject-Action-Object (SAO) triples, which are obtained using an NLP syntactic parser. This approach returns a measure of how much a part of a document deals with a certain topic. These measurements are obtained by assigning a score to each SAO, according to suitable weights for Subject, Action, Object and to a set of dictionaries related to the functionalities to be investigated. These scores can help to detect in the document, among others, sources of potential inconsistency.
Sample 1
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