dc.creatorRago, Alejandro
dc.creatorMarcos, Claudia A.
dc.creatorDiaz Pace, Andrés
dc.date2012-08
dc.date2012
dc.date2021-09-01T11:22:43Z
dc.date.accessioned2023-07-15T03:02:31Z
dc.date.available2023-07-15T03:02:31Z
dc.identifierhttp://sedici.unlp.edu.ar/handle/10915/123892
dc.identifierissn:1850-2792
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/7464222
dc.descriptionRecent trends in the software engineering community advocate for the improvement of textual requirements using (semi-)automated tools. In particular, the detection of incomplete or understated concerns at early development stages hold potential, due to the negative effects of untreated concerns on the development. Assistive tools can be of great help for analysts to get a quick picture of the requirements and narrow down the search for latent concerns. In this article, we present a tool called REAssistant that supports the process of discovering concerns in textual specifications. To do so, the tool relies on the UIMA framework and EMF-based technologies to provide an extensible architecture for concern-related analyses. Currently, the tool is configured to process textual use cases by using a number of textual analytics modules that identify lexical, syntactical and semantic entities in the specifications.We have conducted a preliminary evaluation of our tool in two case studies, obtaining promising results when comparing to manual inspections and to another tool.
dc.descriptionSociedad Argentina de Informática e Investigación Operativa
dc.formatapplication/pdf
dc.format185-198
dc.languageen
dc.rightshttp://creativecommons.org/licenses/by-nc-sa/4.0/
dc.rightsCreative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.subjectCiencias Informáticas
dc.subjectsoftware requirement
dc.subjecttool-support,
dc.subjectNatural language processing
dc.titleText analytics for discovering concerns in requirements documents
dc.typeObjeto de conferencia
dc.typeObjeto de conferencia


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