poster

Towards having a cloud of mobile devices specialized for software testing

Authors:

Mehmet Cagri Calpur,

Cemal YilmazAuthors Info & Claims

MOBILESoft '16: Proceedings of the International Conference on Mobile Software Engineering and Systems

Pages 9 - 10

https://doi.org/10.1145/2897073.2897109

Published: 14 May 2016 Publication History

Get Access

Abstract

This paper proposes a novel cloud testing platform specialized for software testing. Our novel approach aims to perform dynamic analysis on mobile application binaries, generate the model of the application, its test cases and test input sets on the run. Domain information generated via dynamic analysis and utilization of combinatorial interaction testing for test case and input set analysis will be used for improving the systems coverage capability. The system will be a self learning system in the sense that the lessons learned from testing one application will be used to test another application.

References

[1]

Keynote. http://www.keynote.com.

Google Scholar

[2]

Perfecto mobile. http://www.perfectomobile.com.

Google Scholar

[3]

D. Amalfitano, N. Amatucci, A. R. Fasolino, P. Tramontana, E. Kowalczyk, and A. M. Memon. Exploiting the saturation effect in automatic random testing of android applications. In Mobilesoft15 Conference Proceedings, pages 33--43. ACM, May 2015.

Digital Library

Google Scholar

[4]

D. Amalfitano, A. R. Fasolino, P. Tramontana, S. De Carmine, and A. Memon. Using gui ripping for automated testing of android applications. In ASE12 Conference Proceedings, pages 258--261. IEEE/ACM, September 2012.

Digital Library

Google Scholar

[5]

Z. Liu, X. Gao, and X. Long. Adaptive random testing of mobile application. In ICCET10 Conference Proceedings Volume 2, pages V2--297 -- V2--301. IEEE, April 2010.

Google Scholar

[6]

A. Machiry, A. Tahiliani, and N. Naik. Dynodroid: An input generation system for android apps. In ESEC/FSE13 Conference Proceedings, pages 224--234. ACM, August 2013.

Digital Library

Google Scholar

[7]

R. Mahmood, N. Mirzaei, and S. Malek. Evodroid: Segmented evolutionary testing of android apps. In FSE14 Conference Proceedings, pages 599--609. ACM, November 2014.

Digital Library

Google Scholar

[8]

S. Vilkomir, K. Marszalkowski, C. Perry, and S. Mahendrakar. Effectiveness of multi-device testing mobile applications. In MobileSoft15 Conference Proceedings, pages 44--47. ACM, May 2015.

Digital Library

Google Scholar

Cited By

View all

Shams ABohm SWinzer PDorner R(2019)App Cost Estimation: Evaluating Agile Environments2019 IEEE 21st Conference on Business Informatics (CBI)10.1109/CBI.2019.00050(383-390)Online publication date: Jul-2019
https://doi.org/10.1109/CBI.2019.00050
Bertolino ANautiyal LPreeti (2017)Annotated buzzwords and key references for software testing in the cloud2017 International Conference on Computing, Communication and Automation (ICCCA)10.1109/CCAA.2017.8229933(893-900)Online publication date: May-2017
https://doi.org/10.1109/CCAA.2017.8229933

Recommendations

A cloud based software testing paradigm for mobile applications

The testing of applications for mobile computing devices is cumbersome due to the bounded computational resources that these devices have and diversity in mobile environments. There are many different types of emulators that have been proposed and used ...
Prioritizing Variable-Strength Covering Array
COMPSAC '13: Proceedings of the 2013 IEEE 37th Annual Computer Software and Applications Conference

Combinatorial interaction testing is a well-studied testing strategy, and has been widely applied in practice. Combinatorial interaction test suite, such as fixed-strength and variable-strength interaction test suite, is widely used for combinatorial ...
Mapping hardness of automated software testing
ISSTA 2017: Proceedings of the 26th ACM SIGSOFT International Symposium on Software Testing and Analysis

Automated Test Case Generation (ATCG) is an important topic in Software Testing, with a wide range of techniques and tools being used in academia and industry. While their usefulness is widely recognized, due to the labor-intensive nature of the task, ...

Comments

Information & Contributors

Information

Published In

MOBILESoft '16: Proceedings of the International Conference on Mobile Software Engineering and Systems

May 2016

326 pages

ISBN:9781450341783

DOI:10.1145/2897073

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 14 May 2016

Check for updates

Author Tags

Qualifiers

Poster

Conference

ICSE '16

Sponsor:

ACM
SIGSOFT
IEEE-CS\DATC
TCSE

ICSE '16: 38th International Conference on Software Engineering

May 14 - 22, 2016

Texas, Austin

Upcoming Conference

ICSE 2025

2025 IEEE/ACM 46th International Conference on Software Engineering

April 26 - May 3, 2025

Ottawa , ON , Canada

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

2
Total Citations
View Citations
145
Total Downloads

Downloads (Last 12 months)2
Downloads (Last 6 weeks)2

Reflects downloads up to 16 Oct 2024

Other Metrics

View Author Metrics

Citations

Cited By

View all

Shams ABohm SWinzer PDorner R(2019)App Cost Estimation: Evaluating Agile Environments2019 IEEE 21st Conference on Business Informatics (CBI)10.1109/CBI.2019.00050(383-390)Online publication date: Jul-2019
https://doi.org/10.1109/CBI.2019.00050
Bertolino ANautiyal LPreeti (2017)Annotated buzzwords and key references for software testing in the cloud2017 International Conference on Computing, Communication and Automation (ICCCA)10.1109/CCAA.2017.8229933(893-900)Online publication date: May-2017
https://doi.org/10.1109/CCAA.2017.8229933

View Options

Get Access

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Cited By

Recommendations

A cloud based software testing paradigm for mobile applications

Prioritizing Variable-Strength Covering Array

Mapping hardness of automated software testing

Comments

Published In

Sponsors

Publisher

Publication History

Check for updates

Author Tags

Qualifiers

Conference

Upcoming Conference

Other Metrics

Article Metrics

Other Metrics

Cited By

Login options

Full Access

PDF

eReader

Abstract

References

Cited By

Recommendations

A cloud based software testing paradigm for mobile applications

Prioritizing Variable-Strength Covering Array

Mapping hardness of automated software testing

Comments

Information

Published In

Sponsors

Publisher

Publication History

Check for updates

Author Tags

Qualifiers

Conference

Upcoming Conference

Contributors

Other Metrics

Bibliometrics

Article Metrics

Other Metrics

Citations

Cited By

Get Access

Login options

Full Access

View options

PDF

eReader

Figures

Other

Share

Share this Publication link

Share on social media

Affiliations