Paper Info
Title
Evolutionary Based Automated Coverage Analysis For Gui Testing
Abstract
In recent times, software industry has seen the immense expansion in its popularity. Graphical user interface (GUI) is of the most important and ground breaking factor behind the exponential growth of acceptance of software systems. Beside this popularity, software organizations are trying best to optimize the quality of delivered products. In software development life cycle, software testing is one major phase having focus towards improved software quality. Increased attention towards GUI in development helped in materialization of GUI testing as a vital branch of software testing. Manual efforts to test GUI have revealed a lot of problems, which, ultimately led towards automation of GUI testing. This paper presents a novel approach towards automation of GUI test coverage analysis based on an evolutionary algorithm, Particle Swarm Optimization (PSO). Another objective that has been tried to achieve is keeping number of test cases at minimum side.
Year
DOI
Venue
2010
10.1007/978-3-642-14834-7_43
CONTEMPORARY COMPUTING, PT 1
Keywords
Field
DocType
GUI Testing, Multi-objective optimization, Coverage Criterion, Coverage Analysis, Multi Objective PSO
Code coverage,Computer vision,Software engineering,Computer science,Software system,Automation,Software,Systems development life cycle,Test case,Artificial intelligence,Graphical user interface testing,Software quality
Conference
Volume
ISSN
Citations 
94
1865-0929
3
PageRank 
References 
Authors
0.45
18
4
Name
Order
Citations
PageRank
Abdul Rauf1305.37
Sajid Anwar218419.96
Naveed Kazim330.79
Arshad Ali Shahid4284.10