Scientific Methods to Reduce System Testing Cost and Risk


MIT SDM Systems Thinking Webinar SeriesMadhav S. Phadke

Madhav S. Phadke, PhD
President, Phadke Associates Inc.

Date: June 28, 2011

Watch the Webinar

About the Presentation

Software and system testing costs hundreds of millions of dollars annually. Testing also takes multiple months, delaying time to market. Several major defense and commercial firms are therefore embarking on using orthogonal arrays (OAs) to reduce the cost of testing and time to market while ensuring that technology defects are not passed onto the customer.

OAs provide a systematic, scientific, and repeatable approach to generating test plans that reduce testing costs by an estimated 40 percent while providing additional capacity to detect faults. OAs also have distinct advantages for results analysis and defect isolation, delivering savings throughout the life cycle.

In this webinar, Dr. Phadke will describe the fundamentals of using OAs for test planning using examples from defense systems; present results of 20 side-by-side IT and software testing pilots conducted in the financial services industry; compare OA-based testing with other test planning methods (pairwise, n-way, and design of experiments); and describe a commercial software toolset (rdExpert™ Test Suite) used for OA-based testing.

About the Speaker

Dr. Madhav S. Phadke is the founder and president of Phadke Associates Inc. He is an ASQ Fellow and the author of the first engineering textbook on robust design methods in the United States, Quality Engineering Using Robust Design. He holds a PhD in mechanical engineering and an MS in statistics from the University of Wisconsin—Madison, an MS in mechanical and aerospace sciences from the University of Rochester, and a BTech in mechanical engineering from the Indian Institute of Technology—Mumbai. Prior to founding Phadke Associates, Dr. Phadke was a manager at AT&T Bell Labs, a visiting scientist at the IBM Watson Research Center, and a research associate at the Mathematics Research Center and Statistics Department of the University of Wisconsin—Madison.

About the Series

The MIT System Design and Management Program Systems Thinking Webinar Series features research conducted by SDM faculty, alumni, students, and industry partners. The series is designed to disseminate information on how to employ systems thinking to address engineering, management, and socio-political components of complex challenges.