Defect prediction model for testing phase

The need for predicting defects in testing phase is important nowadays as part of the improvement initiatives for software production process. Being the group that ensuring successful implementation of verification and validation process area, all test engineers in Test Centre of Excellence (Test CO...

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Main Author:	Mohamed Suffian, Muhammad Dhiauddin
Format:	Thesis
Language:	English
Published:	2009
Subjects:	QA76 Computer software
Online Access:	http://eprints.utm.my/id/eprint/10056/1/MuhammadDhiauddinMFSKSM2010.pdf
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id	my-utm-ep.10056
record_format	uketd_dc
spelling	my-utm-ep.100562018-06-25T01:05:03Z Defect prediction model for testing phase 2009-05 Mohamed Suffian, Muhammad Dhiauddin QA76 Computer software The need for predicting defects in testing phase is important nowadays as part of the improvement initiatives for software production process. Being the group that ensuring successful implementation of verification and validation process area, all test engineers in Test Centre of Excellence (Test COE) department are required to play their part to discover software defects as many as possible and contain them within testing phase. This research is aimed to achieve zero-known post release defects of the software delivered to end-user. To achieve the target, the research effort focuses on establishing a defect prediction model for testing phase using Six Sigma methodology. It identifies the customer needs on the requirement for the prediction model as well as how the model can benefits them. It also outlines the possible factors that associated to defect discovery in testing phase. Analysis of the repeatability and capability of test engineers in finding defects are elaborated. This research also describes the process of identifying type of data to be collected and techniques of obtaining them. Relationship of customer needs with the technical requirements is then explained clearly. Finally, the proposed defect prediction model for testing phase is demonstrated via regression analysis. This is achieved by considering faults found in phases prior to testing phase and also the code size of the software. The achievement of the whole research effort is described at the end of this project together with challenges faced and recommendation for next research work. 2009-05 Thesis http://eprints.utm.my/id/eprint/10056/ http://eprints.utm.my/id/eprint/10056/1/MuhammadDhiauddinMFSKSM2010.pdf application/pdf en public masters Universiti Teknologi Malaysia, Faculty of Computer Science and Information System Faculty of Computer Science and Information System 1. Clark, B. and Zubrow, D. (2001). How Good is the Software: A Review of Defect Prediction Techniques. Software Engineering Symposium. Carnegie Mellon University. 2. Fenton, N.E. and Neil, M. (1999). A Critique of Software Defect Prediction Models. IEEE Transactions On Software Engineering. Volume 25, No.5. 3. Grottke, M. and Dussa-Zieger, K (2001). Prediction of Software Failures Based on Systematic Testing. Ninth European Conference on Software Testing Analysis and Review. Stockholm. 4. Mohanty, B. and Mohapatra, S. (2001). Defect Prevention Through Defect Prediction: A Case Study at Infosys. Proceedings of IEEE International Conference on Software Maintenance. 5. Nayak, V. and Naidya, D. (2003). Defect Estimation Strategies. Patni Computer Systems Liited. Mumbai. 6. Neuendorf, S. (2004). Prediction of Software Defects. SASQAG 2004. 7. Ostrand, J.T. and Weyuker, E.J. (2007). How to Measure Success of Fault Prediction Models. SOQUA ‘07. 25-30. 8. Ostrand, T.J., Weyuker, E.J., Bell, R.M. and Ostrand, R.C. (2005). A Different View of Fault Prediction. Proceedings of the 29th Annual International Computer Software and Applications Conference (COMPSAC ’05). 9. Rana, Z.A., Shamail, S. and Awais, M.M. (2008). Towards a Generic Model for Software Quality Prediction. WoSQ ’08. Leipziq. 10. Thangarajan, M. and Biswas, B. (2002). Software Reliability Prediction Model. Tata Elxsi Whitepaper.
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	QA76 Computer software
spellingShingle	QA76 Computer software Mohamed Suffian, Muhammad Dhiauddin Defect prediction model for testing phase
description	The need for predicting defects in testing phase is important nowadays as part of the improvement initiatives for software production process. Being the group that ensuring successful implementation of verification and validation process area, all test engineers in Test Centre of Excellence (Test COE) department are required to play their part to discover software defects as many as possible and contain them within testing phase. This research is aimed to achieve zero-known post release defects of the software delivered to end-user. To achieve the target, the research effort focuses on establishing a defect prediction model for testing phase using Six Sigma methodology. It identifies the customer needs on the requirement for the prediction model as well as how the model can benefits them. It also outlines the possible factors that associated to defect discovery in testing phase. Analysis of the repeatability and capability of test engineers in finding defects are elaborated. This research also describes the process of identifying type of data to be collected and techniques of obtaining them. Relationship of customer needs with the technical requirements is then explained clearly. Finally, the proposed defect prediction model for testing phase is demonstrated via regression analysis. This is achieved by considering faults found in phases prior to testing phase and also the code size of the software. The achievement of the whole research effort is described at the end of this project together with challenges faced and recommendation for next research work.
format	Thesis
qualification_level	Master's degree
author	Mohamed Suffian, Muhammad Dhiauddin
author_facet	Mohamed Suffian, Muhammad Dhiauddin
author_sort	Mohamed Suffian, Muhammad Dhiauddin
title	Defect prediction model for testing phase
title_short	Defect prediction model for testing phase
title_full	Defect prediction model for testing phase
title_fullStr	Defect prediction model for testing phase
title_full_unstemmed	Defect prediction model for testing phase
title_sort	defect prediction model for testing phase
granting_institution	Universiti Teknologi Malaysia, Faculty of Computer Science and Information System
granting_department	Faculty of Computer Science and Information System
publishDate	2009
url	http://eprints.utm.my/id/eprint/10056/1/MuhammadDhiauddinMFSKSM2010.pdf
_version_	1747814790332416000

Defect prediction model for testing phase

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