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Increasing Test Effectiveness Using 4P Approach and Statistical Models

 Ajay Garg, Himanshu Pandey, Aricent

 

Today's business scenario is totally different than what it used to be few years back. OEMs (Original Equipment Manufacturers) today demand a product which is highly stable with negligible issues after commissioning of the product in real field environment. This paper focuses upon the case studies drawn from actual projects being executed at Aricent, which demonstrate how we have achieved excellence in validating the testing phase of the project to meet customer expectations through an internally developed methodology called "4P" approach. Out of the 4Ps (where "P" signifies four performance areas), most important performance area i.e Stability Testing will be covered in detail, using internally developed "Deep Sea" concept. Usage of statistical concepts (e.g Monte Carlo simulation & SPC), prediction suits (e.g NHPP-Gompertz based models), and other mechanism to track the effectiveness of deep sea concept are also covered in this paper.

Ajay Garg is a B.E (Electronics & Communication) from Pondicherry Engineering College in 1989 & MBA (International Business) from Indian Institute of Foreign Trade, New Delhi in 2006. Has 20 years of experience in telecom testing ranging from PSTN switches to Softswitch & now in GSM BTS. His past associations were with Punjab Communications, Fujitsu India Telecom Limited, C-DOT & is currently working with Aricent Technologies as Director - Engineering

Himanshu Pandey, holds masters degree in Quality Management from University of Lucknow. He is currently working as an Assistant Manager-Quality at Aricent Technologies Ltd and has an experience of 6 years in Quality Assurance activities which includes process writing, deployment and monitoring. He was also involved in the recent CMMi Level 5 (ver 1.2) assessment of Aricent as an ATM.