ODC

Title: ODC Analytics for Competitive Software Process Management
Date: December 13, 2011
Venue: Sasken, Koramangala Inner Ring Road, Domlur, Bengaluru
Time: 6:00 pm

Title:
ODC Analytics for Competitive Software Process Management

Orthogonal Defect Classification (ODC) is a measurement system for Software Engineering. ODC extracts specific semantics from the change control logs to turn them into a powerful measurement system on the software development process. Analytics used on these data create insight and visualization for the engineering team, akin to medical imaging methods for doctors. This yields insightful process diagnosis and better development strategies. ODC is a deep area and over the years has seen publications from several noted organizations such as: Caterpillar, Cisco, IBM, Motorola, NASA, Telcordia, etc.

This talk will:

Ram Chillarege speaks at several public and privately arranged events. Please contact the firm to arrange for a talk at your company event.

Recent public talks

• BSPIN ODC Talk Sponsor: BSIN, Bengaluru. December 13, 2011
• IPA SEC Special Seminar on Software Dependability Sponsor: IPA SEC, Tokyo, Japan, December 5, 2011
• Several talks at ISSRE 2011, Hiroshima, Japan. November 2011,
• Tutorial: Optimized Software Engineering, Hiroshima, Japan, November 2011
• Technical Talk on the Bohr-Mandel Bug Theory, Hiroshima, Japan, November 2011
• Computer Science Colloquium, University of Texas, Dallas. October 2011
• IEEE Fellow Talk, IIIT Bengaluru, India. March 2011
• CONSEG 2011 Conference, Bengaluru, India. February 2011

Ram Chillarege, 2010

Appears in ISSRE 2010, International Symposium on Software Reliability Engineering, November 2010, San Jose, CA.

Abstract --

A holistic insight into a product development history and customer consequences is possible via ODC retrospectives, provided the sample space is carefully chosen and the data integrated with related process measurements. This case study and method illustrates how to achieve this insight.

Michael Buckley and Ram Chillarege
IBM Thomas J. Watson Research Center, 1995

Abstract: --

Organizations spend significant resources tracking customer satisfaction and managing service delivery. Although a great deal of effort is expended in understanding what goes on within each of these areas, little or no effort has been applied to identifying and quantifying the relationships between the two. The objective of this research is to discover and establish potential relationships between service data and customer satisfaction. This understanding will enable more effective management, which will lead to improved quality, reduced cost and increased customer satisfaction.

Mark Sullivan and Ram Chillarege
IBM Thomas J. Watson Research Center

Abstract: --

In recent years, software defects have become the dominant cause of customer outage, and improvements in software reliability and quality have not kept pace with those of hardware. Yet, software defects are not well enough understood to provide a clear methodology for avoiding or recovering from them. To gain the necessary insight, we study defects reported between 1986 and 1889 from a on a high-end operating system product. We compare a typical defect (regular) to one that corrupts a program’s memory (overlay) given that overlays are considered by field services to be particularly hard to find and fix.