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: | |
| Online Access: |
https://zenodo.org/record/6036373 |
| ctrlnum |
6036373 |
|---|---|
| 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 Pezzè</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/6036373</identifier><identifier>10.5281/zenodo.6036373</identifier><identifier>oai:zenodo.org:6036373</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>6036373</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/6036373 |
| 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 |
| id |
IOS16997.6036373 |
| institution |
ZAIN Publications |
| institution_id |
7213 |
| institution_type |
library:special 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 |
| shared_to_ipusnas_str |
1 |
| repoId |
IOS16997 |
| first_indexed |
2022-06-06T03:52:09Z |
| last_indexed |
2022-06-06T03:52:09Z |
| recordtype |
dc |
| _version_ |
1734900099606118400 |
| score |
17.610363 |