INSPIRING CREATIVE AND INNOVATIVE MINDS
ADOPTING SIX SIGMA APPROACH IN PREDICTING FUNCTIONAL DEFECTS
FOR SYSTEM TESTING
Muhammad Dhiauddin bin Mohamed SuffianFaculty of Computer Science & Information [email protected]
AP Dr. Suhaimi IbrahimAdvanced Informatics [email protected]
INSPIRING CREATIVE AND INNOVATIVE MINDS
• RESEARCH FOCUS & BACKGROUND • OVERVIEW OF SIX SIGMA• FINDINGS - DEFINE• FINDINGS - MEASURE• FINDINGS - ANALYZE• FINDINGS - DESIGN• FINDINGS - VERIFY• CONCLUSION & RECOMMENDATION
CONTENT
INSPIRING CREATIVE AND INNOVATIVE MINDS
RESEARCH FOCUS & BACKGROUND
How to predict functional test defects in system testing phase using predictors in phases prior to testing phase via
Six Sigma approach?
How to predict functional test defects in system testing phase using predictors in phases prior to testing phase via
Six Sigma approach?
INSPIRING CREATIVE AND INNOVATIVE MINDS
OVERVIEW OF SIX SIGMA
A disciplined, data-driven approach and methodology for eliminating defects (driving A disciplined, data-driven approach and methodology for eliminating defects (driving toward six standard deviations between the mean and the nearest specification limit) in toward six standard deviations between the mean and the nearest specification limit) in any process -- from manufacturing to transactional and from product to serviceany process -- from manufacturing to transactional and from product to service
(www.isixsigma.com)(www.isixsigma.com)
INSPIRING CREATIVE AND INNOVATIVE MINDS
FINDINGS - DEFINE
Software Development Life Cycle
FINDINGS - DEFINE
Y-X Tree
INSPIRING CREATIVE AND INNOVATIVE MINDS
FINDINGS - MEASURE
Measurement System Analysis
INSPIRING CREATIVE AND INNOVATIVE MINDS
FINDINGS - ANALYZE
Initial data set used
Initial prediction modelin a form of regression
INSPIRING CREATIVE AND INNOVATIVE MINDS
FINDINGS - DESIGN
Revised data set used
Revised regressionequation
INSPIRING CREATIVE AND INNOVATIVE MINDS
FINDINGS - VERIFY
Verify with new/freshprojects
Control plan
PROPOSED MODELFunctional Defects (Y) = 4.00 - 0.204 Req. Error - 0.631 CUT Error + 1.90 KLOC -
0.140 Req. Page + 0.125 Design Page - 0.169 Total Test Cases + 0.221 Effort Days
CONCLUSION & RECOMMENDATION
THANK YOU