The Ineffectiveness of Domain Specific Word Embedding Models for GUI Test Reuse

Main Authors: Farideh Sadat Khalili, Ali Mohebbi, Valerio Terragni, Mauro Pezzè, Leonardo Mariani, Abbas Heydarnoori
Format: Proceeding Journal
Bahasa: eng
Terbitan: , 2022
Subjects:
NLP
Online Access: https://zenodo.org/record/6092139
ctrlnum 6092139
fullrecord <?xml version="1.0"?> <dc schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><creator>Farideh Sadat Khalili</creator><creator>Ali Mohebbi</creator><creator>Valerio Terragni</creator><creator>Mauro Pezz&#xE8;</creator><creator>Leonardo Mariani</creator><creator>Abbas Heydarnoori</creator><date>2022-02-10</date><description>This repository provides the replication package of our paper "The Ineffectiveness of Domain Specific Word Embedding Models for GUI Test Reuse" submitted to the 30th IEEE/ACM International Conference on Program Comprehension (ICPC 2022). It includes a ready to use docker container. It includes the inputs data sets, codes, and results. Source codes alone are also available in the following links: Semantic Matching AppClustering</description><identifier>https://zenodo.org/record/6092139</identifier><identifier>10.5281/zenodo.6092139</identifier><identifier>oai:zenodo.org:6092139</identifier><language>eng</language><relation>doi:10.5281/zenodo.6036372</relation><rights>info:eu-repo/semantics/openAccess</rights><rights>https://creativecommons.org/licenses/by/4.0/legalcode</rights><subject>Test Reuse</subject><subject>NLP</subject><subject>Topic Modeling</subject><title>The Ineffectiveness of Domain Specific Word Embedding Models for GUI Test Reuse</title><type>Journal:Proceeding</type><type>Journal:Proceeding</type><recordID>6092139</recordID></dc>
language eng
format Journal:Proceeding
Journal
Journal:Journal
author Farideh Sadat Khalili
Ali Mohebbi
Valerio Terragni
Mauro Pezzè
Leonardo Mariani
Abbas Heydarnoori
title The Ineffectiveness of Domain Specific Word Embedding Models for GUI Test Reuse
publishDate 2022
topic Test Reuse
NLP
Topic Modeling
url https://zenodo.org/record/6092139
contents This repository provides the replication package of our paper "The Ineffectiveness of Domain Specific Word Embedding Models for GUI Test Reuse" submitted to the 30th IEEE/ACM International Conference on Program Comprehension (ICPC 2022). It includes a ready to use docker container. It includes the inputs data sets, codes, and results. Source codes alone are also available in the following links: Semantic Matching AppClustering
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institution ZAIN Publications
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library
library Cognizance Journal of Multidisciplinary Studies
library_id 5267
collection Cognizance Journal of Multidisciplinary Studies
repository_id 16997
subject_area Multidisciplinary
city Stockholm
province INTERNASIONAL
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repoId IOS16997
first_indexed 2022-06-06T03:30:26Z
last_indexed 2022-06-06T03:30:26Z
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