Improving requirements with NLP techniques

Elaborating “good” requirements specifications is an important factor for the success of a software project. Requirements are normally expressed using textual descriptions in natural language, but not without problems. Some requirements documentation techniques, such as use cases specifications, oft...

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Detalles Bibliográficos
Autor principal: Rago, Alejandro
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2014
Materias:
Ciencias Informáticas
Requirements/Specifications
Software
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/41842
http://43jaiio.sadio.org.ar/proceedings/IJCAI/7-8.pdf
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-41842
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
Requirements/Specifications
Software
spellingShingle Ciencias Informáticas
Requirements/Specifications
Software
Rago, Alejandro
Improving requirements with NLP techniques
topic_facet Ciencias Informáticas
Requirements/Specifications
Software
description Elaborating “good” requirements specifications is an important factor for the success of a software project. Requirements are normally expressed using textual descriptions in natural language, but not without problems. Some requirements documentation techniques, such as use cases specifications, often focus on functionality and leave many concerns understated in the text and scattered through several documents. These concerns, commonly known as crosscutting or architecturally-relevant concerns, often come from business goals or quality attributes that must be clearly identified by analysts and developers, as these concerns can have a far-reaching effect in the development process. Not treating these concerns at early development stages can lead to poor design solutions that become difficult (and costly) to fix afterwards. Unfortunately, searching for concerns in textual requirements is a difficult and time-consuming task for analysts, because requirements are often poorly modularized and there is text duplicated across documents. <i>(Párrafo extraído del texto a modo de resumen)</i>
format Objeto de conferencia
Objeto de conferencia
author Rago, Alejandro
author_facet Rago, Alejandro
author_sort Rago, Alejandro
title Improving requirements with NLP techniques
title_short Improving requirements with NLP techniques
title_full Improving requirements with NLP techniques
title_fullStr Improving requirements with NLP techniques
title_full_unstemmed Improving requirements with NLP techniques
title_sort improving requirements with nlp techniques
publishDate 2014
url http://sedici.unlp.edu.ar/handle/10915/41842
http://43jaiio.sadio.org.ar/proceedings/IJCAI/7-8.pdf
work_keys_str_mv AT ragoalejandro improvingrequirementswithnlptechniques
bdutipo_str Repositorios
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