Please use this identifier to cite or link to this item: http://ktisis.cut.ac.cy/handle/10488/3831
Title: Dynamic localisation and automatic correction of software faults using evolutionary mutation testing
Authors: Andreou, Andreas S. 
Yiasemis, Pantelis
Keywords: Dynamic slicing
Software fault
Fault localization
Java source codes
Localisation
Mutation operators
Mutation testing
Novel methodology
Programming errors
Self-adaptive mutation
Test case
Testing process
Errors
Genetic algorithms
Information systems
Software testing
Issue Date: 2012
Publisher: SPIE
Source: 14th International Conference on Enterprise Information Systems, Wroclaw, Poland, 28 June-1 July 2012
Abstract: Software testing has recently turned to more sophisticated techniques, like automatic, self-adaptive mutation testing, aiming at improving the effectiveness of the testing process and handling the associated complexity that increases the level of time and effort spent. Mutation testing refers to the application of mutation operators on correctly functioning programs so as to induce common programming errors and then assess the ability of a set of test cases to reveal them. In the above context the present paper introduces a novel methodology for identifying and correcting faults in Java source code using dynamic slicing coupled with mutation testing and enhanced by Genetic Algorithms. A series of experiments was conducted to assess the effectiveness of the proposed approach, using different types of errors and sample programs. The results were quite encouraging as regards the ability of the approach to localise the faults, as well as to suggest the appropriate correction(s) to eliminate them.
URI: http://ktisis.cut.ac.cy/jspui/handle/10488/3831
Appears in Collections:Δημοσιεύσεις σε συνέδρια/Conference papers

Show full item record

Page view(s) 10

9
checked on Jan 29, 2017

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.