@article {10.3844/jcssp.2011.1343.1352,
article_type = {journal},
title = {Algorithms for the Detection of Defects in GUI Applications},
author = {Maheswari, B. Uma and Valli, S.},
volume = {7},
number = {9},
year = {2011},
month = {Jul},
pages = {1343-1352},
doi = {10.3844/jcssp.2011.1343.1352},
url = {https://thescipub.com/abstract/jcssp.2011.1343.1352},
abstract = {Problem statement: Developing software using graphical interfaces has grown rapidly in
recent years. Products developed by, using GUI have to be tested for the reliability and quality of the
software. The objective of software testing is to reveal all the errors in the desired software with
minimum cost. GUI application comprises of several controls for user interaction and each control has
several properties assigned to it. Even though default attributes and actions are available for the
controls, some performance problems exist, which are undetected. Approach: The VBCT tool is
developed to extract the incorrect statements in the code and various algorithms are written for
detecting the logical errors in the GUI Applications. Results: This study addresses the errors in the
visual applications and alerts the developer to modify the source code. This study performs structural
and behavioral testing for GUI based applications. Conclusion: Identifying and removing the
undetected logical errors in GUI based applications has been developed. Both white box and black box
testing is attempted. The written test scripts, work in a robust manner to detect the faults.},
journal = {Journal of Computer Science},
publisher = {Science Publications}
}