Research on End to End Performance Testing of Web Applications

2017 ◽  
Vol 7 (3) ◽  
pp. 140-144
Author(s):  
Lalit Kumar Garg ◽  
◽  
Preeti Rani ◽  
Deepika Goyal ◽  
◽  
...  
Keyword(s):  
Web Applications ◽  
Performance Testing ◽  
End To End

PTCWA: Performance Testing of Cloud Based Web Applications

2020 ◽  
pp. 345-356
Author(s):  
M. S. Geetha Devasena ◽  
R. Kingsy Grace ◽  
S. Manju ◽  
V. Krishna Kumar
Keyword(s):  
Web Applications ◽  
Performance Testing

Verena: End-to-End Integrity Protection for Web Applications

2016 ◽  
Author(s):  
Nikolaos Karapanos ◽  
Alexandros Filios ◽  
Raluca Ada Popa ◽  
Srdjan Capkun
Keyword(s):  
Web Applications ◽  
Integrity Protection ◽  
End To End

scholarly journals A dataset of regressions in web applications detected by end-to-end tests

2021 ◽  
Author(s):  
Óscar Soto-Sánchez ◽  
Michel Maes-Bermejo ◽  
Micael Gallego ◽  
Francisco Gortázar
Keyword(s):  
Comparative Study ◽  
Web Applications ◽  
Research Work ◽  
Test Case ◽  
Spring Framework ◽  
Apply Research ◽  
End To End ◽  
The Comparative Study ◽  
Unit Tests

AbstractEnd-to-end tests present many challenges in the industry. The long-running times of these tests make it unsuitable to apply research work on test case prioritization or test case selection, for instance, on them, as most works on these two problems are based on datasets of unit tests. These ones are fast to run, and time is not usually a considered criterion. This is because there is no dataset of end-to-end tests, due to the infrastructure needs for running this kind of tests, the complexity of the setup and the lack of proper characterization of the faults and their fixes. Therefore, running end-to-end tests for any research work is hard and time-consuming, and the availability of a dataset containing regression bugs, documentation and logs for these tests might foster the usage of end-to-end tests in research works. This paper presents a) a dataset for this kind of tests, including six well-documented manually injected regression bugs and their corresponding fixes in three web applications built using Java and the Spring framework; b) tools for easing the execution of these tests no matter the infrastructure; and c) a comparative study with two well-known datasets of unit tests. The comparative study shows that there are important differences between end-to-end and unit tests, such as their execution time and the amount of resources they consume, which are much higher in the end-to-end tests. End-to-end testing deserves some attention from researchers. Our dataset is a first effort toward easing the usage of end-to-end tests in research works.

Sign in / Sign up

Export Citation Format

Share Document