Extracción asistida de variables de prueba aplicando técnicas de procesamiento de lenguaje natural

Today we are facing the technological age, daily are developed new inventions that by their constancy indicate that it will never finish growing. It is our mission as engineers to be part of this advance, this change, to contribute with processes that allow us to grow as a society.That is why we dec...

Full description

Autores:
Bejarano Herrera, Juan Sebastián
García Puerta, Jorge Humberto
Tipo de recurso:
Fecha de publicación:
2019
Institución:
Universidad de San Buenaventura
Repositorio:
Repositorio USB
Idioma:
spa
OAI Identifier:
oai:bibliotecadigital.usb.edu.co:10819/7439
Acceso en línea:
http://hdl.handle.net/10819/7439
Palabra clave:
Extracción Asistida
Lenguaje Natural
Librería Nltk
Variables Relevantes
Sistemas expertos
Procesamiento de datos
Variables aleatorias
Rights
License
Atribución-NoComercial-SinDerivadas 2.5 Colombia
Description
Summary:Today we are facing the technological age, daily are developed new inventions that by their constancy indicate that it will never finish growing. It is our mission as engineers to be part of this advance, this change, to contribute with processes that allow us to grow as a society.That is why we decided to present the project "ASSISTED EXTRACTION OF VARIABLES OF TEST APPLYING NATURAL LANGUAGE PROCESSING TECHNIQUES", with the help of the teacher Hugo Eraso, who was in charge of sharing the project with us, guiding us and supporting us with the necessary bases for the process that ends today.The project was born from the problem identified during the testing process within the development of a software product. When extracting variables from a file to design system test cases, a test analyst can take hours or even days depending on the size of the document they have been given.Starting from this need we propose as a solution the implementation of a system that allows this same procedure but in a shorter time than it would take a person, a system that is able to receive a text document and analyze it to extract the possible variables to use in the design of test cases.For this purpose, the NLTK library was used, which allows the analysis of the information contained in a text document, and at that point specific filters were made to extract the relevant variables.