Details
| Original language | English |
|---|---|
| Pages (from-to) | 273-292 |
| Number of pages | 20 |
| Journal | Software Quality Journal |
| Volume | 22 |
| Issue number | 2 |
| Early online date | 20 Jun 2013 |
| Publication status | Published - Jun 2014 |
Abstract
Automated GUI tests typically comprise of several test steps that are executed on the GUI before reaching a point of assertion. Comparing a longer and complex execution of a GUI test to its test instructions for debugging is a laborious task: re-establish the test environment, slow down test execution for human perception, and locate the currently executed test step. Video documentation of GUI tests for debugging purposes is already present in several industry tools. However, it is not optimized for effective documentation of on-screen actions nor synched with the executed test instructions. We present a video-based documentation of automated GUI tests that links the executed test case instruction to the on-screen response of the application under test. Screen recording is optimized for speed and memory consumption while all relevant details are captured. Additional browsing capabilities for easier debugging are introduced. Concepts of aspect-oriented programming are adapted for tracing of pre-compiled test case scripts. Our concepts are evaluated by a working implementation, a series of performance measurements during a technical experiment, and industrial experience from 370 real-world test cases carried out in a large software company. The limits of our implementation regarding video capturing and code tracing are explored with a specialized test frame.
Keywords
- Aspect-oriented programming, Automated test, Code tracing, Graphical user interface, Video
ASJC Scopus subject areas
- Computer Science(all)
- Software
- Engineering(all)
- Safety, Risk, Reliability and Quality
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In: Software Quality Journal, Vol. 22, No. 2, 06.2014, p. 273-292.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Tailoring video recording to support efficient GUI testing and debugging.
AU - Pham, Raphael
AU - Holzmann, Helge
AU - Schneider, Kurt
AU - Brüggemann, Christian
N1 - DBLP's bibliographic metadata records provided through http://dblp.org/search/publ/api are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.
PY - 2014/6
Y1 - 2014/6
N2 - Automated GUI tests typically comprise of several test steps that are executed on the GUI before reaching a point of assertion. Comparing a longer and complex execution of a GUI test to its test instructions for debugging is a laborious task: re-establish the test environment, slow down test execution for human perception, and locate the currently executed test step. Video documentation of GUI tests for debugging purposes is already present in several industry tools. However, it is not optimized for effective documentation of on-screen actions nor synched with the executed test instructions. We present a video-based documentation of automated GUI tests that links the executed test case instruction to the on-screen response of the application under test. Screen recording is optimized for speed and memory consumption while all relevant details are captured. Additional browsing capabilities for easier debugging are introduced. Concepts of aspect-oriented programming are adapted for tracing of pre-compiled test case scripts. Our concepts are evaluated by a working implementation, a series of performance measurements during a technical experiment, and industrial experience from 370 real-world test cases carried out in a large software company. The limits of our implementation regarding video capturing and code tracing are explored with a specialized test frame.
AB - Automated GUI tests typically comprise of several test steps that are executed on the GUI before reaching a point of assertion. Comparing a longer and complex execution of a GUI test to its test instructions for debugging is a laborious task: re-establish the test environment, slow down test execution for human perception, and locate the currently executed test step. Video documentation of GUI tests for debugging purposes is already present in several industry tools. However, it is not optimized for effective documentation of on-screen actions nor synched with the executed test instructions. We present a video-based documentation of automated GUI tests that links the executed test case instruction to the on-screen response of the application under test. Screen recording is optimized for speed and memory consumption while all relevant details are captured. Additional browsing capabilities for easier debugging are introduced. Concepts of aspect-oriented programming are adapted for tracing of pre-compiled test case scripts. Our concepts are evaluated by a working implementation, a series of performance measurements during a technical experiment, and industrial experience from 370 real-world test cases carried out in a large software company. The limits of our implementation regarding video capturing and code tracing are explored with a specialized test frame.
KW - Aspect-oriented programming
KW - Automated test
KW - Code tracing
KW - Graphical user interface
KW - Video
UR - http://www.scopus.com/inward/record.url?scp=84899486308&partnerID=8YFLogxK
U2 - 10.1007/s11219-013-9206-2
DO - 10.1007/s11219-013-9206-2
M3 - Article
VL - 22
SP - 273
EP - 292
JO - Software Quality Journal
JF - Software Quality Journal
SN - 0963-9314
IS - 2
ER -