Application of Six Sigma Approach in Predicting Functional Defects for System Testing

The importance of knowing total number of defects to be found at the start of system testing phase has become significant element in software engineering practices towards achieving zero known post release defects of the software released to users. Defect prediction for testing demonstrates the...

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Main Authors:	Muhammad Dhiauddin Mohamed Suffian, Suhaimi Ibrahim
Format:	Article
Published:	2012
Subjects:	TS Manufactures
Online Access:	http://taibahu.edu.sa/iccit/allICCITpapers/pdf/p355-mohamed_suffian.pdf http://taibahu.edu.sa/iccit/allICCITpapers/pdf/p355-mohamed_suffian.pdf

id	oai:eprints.oum.edu.my:862
recordtype	eprints
spelling	oai:eprints.oum.edu.my:8622013-06-06T09:50:13Z Application of Six Sigma Approach in Predicting Functional Defects for System Testing Muhammad Dhiauddin Mohamed Suffian, Suhaimi Ibrahim, TS Manufactures The importance of knowing total number of defects to be found at the start of system testing phase has become significant element in software engineering practices towards achieving zero known post release defects of the software released to users. Defect prediction for testing demonstrates the initiative for test process improvement and optimization while allowing independent testing team to discover as many defects as possible, to determine when to stop testing, put comprehensive test coverage while ensuring all defects are contained within testing phase. The research aims at demonstrating the industry-centric approach of predicting defects and controlling them within system testing to prevent any escapees to the next testing level and later, to the end users. Despite various prior efforts and approaches in building defect prediction models, this research attempts to focus on formulating a mathematical model for specifically predicting functional test defects to be found in system testing phase before it is actually started. Six Sigma is chosen as the approach in building up the mathematical model for predicting functional defects in system testing phase. Design for Six Sigma (DFSS), one of the Six Sigma methodologies is used for the research where it involves 5 main phases: Define, Measure, Analyze, Design and Verify (DMADV). The study illustrates the motivation on having this prediction model and its benefits to test process management. V-Model software development process is the area of focus in which the software projects adopting this model are selected for the research. The activities start with the analysis of factors narrowing to phases prior to testing phase that have direct impact to the discovery of defect in system testing. These factors are concerned with the product and process metrics collected from requirement phase until construction and unit test phase. The metrics in those phases which are significant to system testing defects are collected and analyzed statistically using multiple regression analysis. The proposed prediction model for functional defects in system testing phase is formulated using the best result generated from the regression analysis, which is a combined metrics of development and testing metrics in phases prior to testing phase. The proposed model is then validated to ensure it is fit for actual implementation of predicting functional defects in system testing phase. Control plan is also incorporated as a reference on what action to be taken when the actual functional defects found do not fall within the prediction interval. (Abstract by authors) 2012 Article PeerReviewed http://taibahu.edu.sa/iccit/allICCITpapers/pdf/p355-mohamed_suffian.pdf Muhammad Dhiauddin Mohamed Suffian, and Suhaimi Ibrahim, (2012) Application of Six Sigma Approach in Predicting Functional Defects for System Testing. ICCIT 2012. http://library.oum.edu.my/repository/862/
repository_type	Digital Repository
institution_category	Local University
institution	Open University Malaysia
building	OUM Institutional Repository
collection	Online Access
topic	TS Manufactures
spellingShingle	TS Manufactures Muhammad Dhiauddin Mohamed Suffian, Suhaimi Ibrahim, Application of Six Sigma Approach in Predicting Functional Defects for System Testing
description	The importance of knowing total number of defects to be found at the start of system testing phase has become significant element in software engineering practices towards achieving zero known post release defects of the software released to users. Defect prediction for testing demonstrates the initiative for test process improvement and optimization while allowing independent testing team to discover as many defects as possible, to determine when to stop testing, put comprehensive test coverage while ensuring all defects are contained within testing phase. The research aims at demonstrating the industry-centric approach of predicting defects and controlling them within system testing to prevent any escapees to the next testing level and later, to the end users. Despite various prior efforts and approaches in building defect prediction models, this research attempts to focus on formulating a mathematical model for specifically predicting functional test defects to be found in system testing phase before it is actually started. Six Sigma is chosen as the approach in building up the mathematical model for predicting functional defects in system testing phase. Design for Six Sigma (DFSS), one of the Six Sigma methodologies is used for the research where it involves 5 main phases: Define, Measure, Analyze, Design and Verify (DMADV). The study illustrates the motivation on having this prediction model and its benefits to test process management. V-Model software development process is the area of focus in which the software projects adopting this model are selected for the research. The activities start with the analysis of factors narrowing to phases prior to testing phase that have direct impact to the discovery of defect in system testing. These factors are concerned with the product and process metrics collected from requirement phase until construction and unit test phase. The metrics in those phases which are significant to system testing defects are collected and analyzed statistically using multiple regression analysis. The proposed prediction model for functional defects in system testing phase is formulated using the best result generated from the regression analysis, which is a combined metrics of development and testing metrics in phases prior to testing phase. The proposed model is then validated to ensure it is fit for actual implementation of predicting functional defects in system testing phase. Control plan is also incorporated as a reference on what action to be taken when the actual functional defects found do not fall within the prediction interval. (Abstract by authors)
format	Article
author	Muhammad Dhiauddin Mohamed Suffian, Suhaimi Ibrahim,
author_facet	Muhammad Dhiauddin Mohamed Suffian, Suhaimi Ibrahim,
author_sort	Muhammad Dhiauddin Mohamed Suffian,
title	Application of Six Sigma Approach in Predicting Functional Defects for System Testing
title_short	Application of Six Sigma Approach in Predicting Functional Defects for System Testing
title_full	Application of Six Sigma Approach in Predicting Functional Defects for System Testing
title_fullStr	Application of Six Sigma Approach in Predicting Functional Defects for System Testing
title_full_unstemmed	Application of Six Sigma Approach in Predicting Functional Defects for System Testing
title_sort	application of six sigma approach in predicting functional defects for system testing
publishDate	2012
url	http://taibahu.edu.sa/iccit/allICCITpapers/pdf/p355-mohamed_suffian.pdf http://taibahu.edu.sa/iccit/allICCITpapers/pdf/p355-mohamed_suffian.pdf
first_indexed	2018-09-06T17:10:35Z
last_indexed	2018-09-06T17:10:35Z
_version_	1610878902409887744

Application of Six Sigma Approach in Predicting Functional Defects for System Testing

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