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Measuring Cost of Quality(CoQ)- on SDLC projects is indispensible for effective Software Quality Assurance  

 

*1 Parvez Mahmood Khan, 2 M.M. Sufyan Beg

Department of Computer Engineering, J.M.I. New Delhi, India

 1 pmkhan@hotmail.com  ,  2 mmsbeg@cs.berkeley.edu

 
Abstract .It is well known fact that was phrased by famous quality scholar P.B. Crosby that “it is always cheaper to do the job right the first time”. However, this statement must be reconsidered with respect to software development projects, because the concept of quality and associated costs measurements in software engineering discipline is not as matured as in manufacturing and other fields of the industry. Post delivery defects (i.e. software bugs) are very common and integral part of software industry. While the process of measuring and classifying quality cost components is visible, obvious and institutionalized in manufacturing industry, it is still evolving in software industry. In addition to this, the recommendations of British standard BS-6143-2:1990 for classifying quality-related costs into prevention costs, appraisal costs, and failure costs have been successfully adopted by many industries, by identifying the activities carried out within each of these categories, and measuring the costs connected with them, software industry has a long-way to go to have the same level of adoption and institutionalization of cost of quality measurements and visibility. Cost of Quality for software isn't the price of creating a quality software product or IT-service. It's actually the cost of NOT creating a quality software product or IT-service. The chronic affliction of majority of software development projects that are frequently found bleeding with cost overruns, schedule slippage, scope creep and poor quality of deliverables in the global IT industry, was the trigger for this research work. The idea was to examine a good number of SDLC-projects (proper mix of successful projects as well as failed projects) from multiple organizations end-to-end (i.e. from project-inception to project-closure) and empirically assess the quality management approach – focusing on how the quality was planned on these project(s), what specific software quality assurance and software quality control measured were employed on the projects under study and it’s possible impact on overall project success and achievement of business objectives. Lessons learnt from this study offer valuable prescriptive guidance for small and medium software businesses, who can benefit from this study by applying the same for their quality improvement initiatives using CoQ-metric, to enhance the capability and maturity of their SDLC-project performance.
 
Keywords : Cost of Quality ; Software Quality Assurance ; Software Quality Control ; Quality Management System ; Software Quality Cost
 URL: http://dx.doi.org/10.7321/jscse.v2.n9.1  
 
 

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