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Quality Assurance

Concurrent Sessions

BW12 Game Changing Practices in Software: Data from Recent Benchmark Research
Michael Mah, QSM Associates, Inc.
Wed, 11/13/2013 - 3:45pm

As agile practices become mainstream, compelling patterns are being revealed about defect rates, time-to-market, and effort/staffing. Industry data from QSM Associates reveals that many companies grapple with collocation, pair programming, offshoring, and combining agile with waterfall methods. Some of the best teams find significant schedule and quality implications that are literally redefining the economics of software; others are not. What factors make a meaningful difference?

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BT8 How to (Effectively) Measure Quality across Software Deliverables
David Herron, DCG
Thu, 11/14/2013 - 2:15pm

How do you properly compare the quality of two or more software deliverables without an accurate normalizing metric? The answer: You can’t. Example: If project A has one-hundred defects and project B has fifty defects, do you automatically assume project B is a higher quality deliverable? Although the number of defects is often the end user’s quality perception, defect counts may not be the right measure. An effective normalizing metric allows you to accurately measure and compare quality levels across software deliverables.

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