alexa Functional Testing Technique Using ODC to Identify And
ISSN ONLINE(2320-9801) PRINT (2320-9798)

International Journal of Innovative Research in Computer and Communication Engineering
Open Access

OMICS International organises 3000+ Global Conferenceseries Events every year across USA, Europe & Asia with support from 1000 more scientific Societies and Publishes 700+ Open Access Journals which contains over 50000 eminent personalities, reputed scientists as editorial board members.

Open Access Journals gaining more Readers and Citations

700 Journals and 15,000,000 Readers Each Journal is getting 25,000+ Readers

This Readership is 10 times more when compared to other Subscription Journals (Source: Google Analytics)

Special Issue Article

Functional Testing Technique Using ODC to Identify And Predict Faults

To read the full article Peer-reviewed Article PDF image


The type of faults in software testing techniques may differ and are more prone to detect. Based upon the features of the application under test, their performance varies. The current methodology like Novel Fault Classification Scheme, used to identify and classify faults based on least square software vector machine in software application. The Novel Classification Scheme based on least square SVM may requires more time and also with less accurateness. The Genetic algorithms are used to generate the test cases and fitness of each test case has been determined individually. The Orthogonal Defect Classification (ODC) mechanism identifies the faults and classifies based on the fault types for the given set of generated test cases through the genetic algorithm. The testing techniques such as functional testing, statistical testing, robustness testing and stress testing are utilized to classify the faults based on their types. Besides, the difficulty of switching among the techniques has been resolved using the Markov Decision Process (MDP) that maximizes the number of faults. The classification of the faults may be varied based upon the testing technique that has been utilized. The performance of the ODC fault classification mechanism and classification system is analyzed through the percentage of faults identified and classified based on the ODC mechanism.


Share This Page

Additional Info

Loading Please wait..
Peer Reviewed Journals
Make the best use of Scientific Research and information from our 700 + peer reviewed, Open Access Journals
International Conferences 2017-18
Meet Inspiring Speakers and Experts at our 3000+ Global Annual Meetings

Contact Us

© 2008-2017 OMICS International - Open Access Publisher. Best viewed in Mozilla Firefox | Google Chrome | Above IE 7.0 version