Software Quality Assurance: Six Sigma (Definitions)

"A statistical term meaning six standard deviations from the norm. Used as the name for a quality improvement program that aims at reducing errors to one in a million." (Judith Hurwitz et al, "Service Oriented Architecture For Dummies" 2nd Ed., 2009)

"1.Generally, a rigorous and disciplined statistical analysis methodology to measure and improve a company’s operational performance, practices and systems. 2.In many organizations, simply a measure of quality near perfection. 3.In data quality, a level of quality in which six standard deviations of a population fall within the upper and lower control limits of quality, allowing no more than 3.4 defects per million parts or transactions." (DAMA International, "The DAMA Dictionary of Data Management", 2011)

"A methodology to manage process variations that cause defects, defined as unacceptable deviation from the mean or target, and to systematically work toward managing variation to prevent those defects." (Linda Volonino & Efraim Turban, "Information Technology for Management" 8th Ed., 2011)

"A systematic quality improvement process used on both the production and transactional sides of the business to design, manufacture, and market goods and services that customers may desire to purchase." (Joan C Dessinger, "Fundamentals of Performance Improvement" 3rd Ed., 2012)

"A highly structured approach for eliminating defects in any process, whether from manufacturing or transactional processes. It can be applied to a product or a service–oriented process in any organization. Further, Six Sigma is 'a statistical term that measures how far a given process deviates from perfection'. The goal of Six Sigma is to systematically measure and eliminate defects in a process, aiming for a level of less than 3.4 defects per million instances or 'opportunities'." (Robert F Smallwood, "Managing Electronic Records: Methods, Best Practices, and Technologies", 2013)

"A business management strategy originally developed by Motorola in the 1980s. It is essentially a business problem-solving methodology that supports process improvements through an understanding of customer needs, identification of causes of quality variations, and disciplined use of data and statistical analysis." (Sally-Anne Pitt, "Internal Audit Quality", 2014)

"An approach from the production environment for managing quality that targets a mere 3.4 errors per million instances as its performance goal." (Boris Otto & Hubert Österle, "Corporate Data Quality", 2015)

"A disciplined approach to enterprise-wide quality improvement and variation reduction. Technically, it is the denominator of the capability (Cp) index." (Clyde M Creveling, "Six Sigma for Technical Processes", 2006)

"A business management strategy focusing on quality control testing and optimizing processes through reducing process variance." (Evan Stubbs, "Big Data, Big Innovation", 2014)