<> "The repository administrator has not yet configured an RDF license."^^ . <> . . . "Application of Six Sigma Approach in\r\nPredicting Functional Defects for System Testing"^^ . "The importance of knowing total number of\r\ndefects to be found at the start of system testing phase\r\nhas become significant element in software engineering\r\npractices towards achieving zero known post release\r\ndefects of the software released to users. Defect\r\nprediction for testing demonstrates the initiative for test\r\nprocess improvement and optimization while allowing\r\nindependent testing team to discover as many defects as\r\npossible, to determine when to stop testing, put\r\ncomprehensive test coverage while ensuring all defects\r\nare contained within testing phase. The research aims at\r\ndemonstrating the industry-centric approach of\r\npredicting defects and controlling them within system\r\ntesting to prevent any escapees to the next testing level\r\nand later, to the end users. Despite various prior efforts\r\nand approaches in building defect prediction models, this\r\nresearch attempts to focus on formulating a\r\nmathematical model for specifically predicting functional\r\ntest defects to be found in system testing phase before it is\r\nactually started. Six Sigma is chosen as the approach in\r\nbuilding up the mathematical model for predicting\r\nfunctional defects in system testing phase. Design for Six\r\nSigma (DFSS), one of the Six Sigma methodologies is\r\nused for the research where it involves 5 main phases:\r\nDefine, Measure, Analyze, Design and Verify (DMADV).\r\nThe study illustrates the motivation on having this\r\nprediction model and its benefits to test process\r\nmanagement. V-Model software development process is\r\nthe area of focus in which the software projects adopting\r\nthis model are selected for the research. The activities\r\nstart with the analysis of factors narrowing to phases\r\nprior to testing phase that have direct impact to the\r\ndiscovery of defect in system testing. These factors are\r\nconcerned with the product and process metrics collected\r\nfrom requirement phase until construction and unit test\r\nphase. The metrics in those phases which are significant\r\nto system testing defects are collected and analyzed\r\nstatistically using multiple regression analysis. The\r\nproposed prediction model for functional defects in\r\nsystem testing phase is formulated using the best result\r\ngenerated from the regression analysis, which is a\r\ncombined metrics of development and testing metrics in\r\nphases prior to testing phase. The proposed model is then\r\nvalidated to ensure it is fit for actual implementation of\r\npredicting functional defects in system testing phase.\r\nControl plan is also incorporated as a reference on what\r\naction to be taken when the actual functional defects\r\nfound do not fall within the prediction interval. (Abstract by authors)"^^ . "2012" . . "ICCIT 2012"^^ . . . . . . . . . . . ""^^ . "Suhaimi Ibrahim"^^ . " Suhaimi Ibrahim"^^ . . ""^^ . "Muhammad Dhiauddin Mohamed Suffian"^^ . " Muhammad Dhiauddin Mohamed Suffian"^^ . . "Universiti Teknologi Malaysia (UTM_"^^ . . . . . . "HTML Summary of #862 \n\nApplication of Six Sigma Approach in \nPredicting Functional Defects for System Testing\n\n" . "text/html" . . . "TS Manufactures"@en . .