Abstract
Since visual design of Graphical User Interface (GUI) is one of the indispensable parts of every software and to some extent, it determines whether the software is attractive. And with the increasing amount of GUI designs, it is usually impractical to deal with a variety of designs manually with limited staff. Therefore, a solution for that program is needed. This work designs and implements an automatic GUI testing system based on Deep Neural Network (DNN) and cloud service. The system includes screenshot capturing and uploading module, web server, DNN models, etc. It provides accurate and efficient GUI automatic testing technology.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 2018 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovations, SmartWorld/UIC/ATC/ScalCom/CBDCom/IoP/SCI 2018 |
| Editors | Frederic Loulergue, Guojun Wang, Md Zakirul Alam Bhuiyan, Xiaoxing Ma, Peng Li, Manuel Roveri, Qi Han, Lei Chen |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 1818-1823 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781538693803 |
| DOIs | |
| Publication status | Published - 2018 Dec 4 |
| Event | 4th IEEE SmartWorld, 15th IEEE International Conference on Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovations, SmartWorld/UIC/ATC/ScalCom/CBDCom/IoP/SCI 2018 - Guangzhou, China Duration: 2018 Oct 7 → 2018 Oct 11 |
Other
| Other | 4th IEEE SmartWorld, 15th IEEE International Conference on Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovations, SmartWorld/UIC/ATC/ScalCom/CBDCom/IoP/SCI 2018 |
|---|---|
| Country | China |
| City | Guangzhou |
| Period | 18/10/7 → 18/10/11 |
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Keywords
- Cloud service
- Deep neural network
- GUI testing
ASJC Scopus subject areas
- Computer Networks and Communications
- Computer Science Applications
- Information Systems and Management
- Artificial Intelligence
Cite this
DNN-Based image classification for software GUI testing. / Lu, Huijuan; Wang, Li; Ye, Minchao; Yan, Ke; Jin, Qun.
Proceedings - 2018 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovations, SmartWorld/UIC/ATC/ScalCom/CBDCom/IoP/SCI 2018. ed. / Frederic Loulergue; Guojun Wang; Md Zakirul Alam Bhuiyan; Xiaoxing Ma; Peng Li; Manuel Roveri; Qi Han; Lei Chen. Institute of Electrical and Electronics Engineers Inc., 2018. p. 1818-1823 8560284.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - DNN-Based image classification for software GUI testing
AU - Lu, Huijuan
AU - Wang, Li
AU - Ye, Minchao
AU - Yan, Ke
AU - Jin, Qun
PY - 2018/12/4
Y1 - 2018/12/4
N2 - Since visual design of Graphical User Interface (GUI) is one of the indispensable parts of every software and to some extent, it determines whether the software is attractive. And with the increasing amount of GUI designs, it is usually impractical to deal with a variety of designs manually with limited staff. Therefore, a solution for that program is needed. This work designs and implements an automatic GUI testing system based on Deep Neural Network (DNN) and cloud service. The system includes screenshot capturing and uploading module, web server, DNN models, etc. It provides accurate and efficient GUI automatic testing technology.
AB - Since visual design of Graphical User Interface (GUI) is one of the indispensable parts of every software and to some extent, it determines whether the software is attractive. And with the increasing amount of GUI designs, it is usually impractical to deal with a variety of designs manually with limited staff. Therefore, a solution for that program is needed. This work designs and implements an automatic GUI testing system based on Deep Neural Network (DNN) and cloud service. The system includes screenshot capturing and uploading module, web server, DNN models, etc. It provides accurate and efficient GUI automatic testing technology.
KW - Cloud service
KW - Deep neural network
KW - GUI testing
UR - http://www.scopus.com/inward/record.url?scp=85060304294&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85060304294&partnerID=8YFLogxK
U2 - 10.1109/SmartWorld.2018.00306
DO - 10.1109/SmartWorld.2018.00306
M3 - Conference contribution
AN - SCOPUS:85060304294
SP - 1818
EP - 1823
BT - Proceedings - 2018 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovations, SmartWorld/UIC/ATC/ScalCom/CBDCom/IoP/SCI 2018
A2 - Loulergue, Frederic
A2 - Wang, Guojun
A2 - Bhuiyan, Md Zakirul Alam
A2 - Ma, Xiaoxing
A2 - Li, Peng
A2 - Roveri, Manuel
A2 - Han, Qi
A2 - Chen, Lei
PB - Institute of Electrical and Electronics Engineers Inc.
ER -