Previous Alliances 

University of California, Riverside

University of Massachusetts, Amherst

Georgia Institute of Technology, Atlanta

Aalborg University, Denmark

European Research Consortiums

University of California, Riverside 

TCS funded research in the areas of mobility management, security for mobile ad-hoc networks and VoIP and analysis of streaming data.

Some of the areas investigated were:

• Mobility Management – Tracking and predicting positions of moving objects
• Supporting Federated Identity – Efficient distributed signature verification scheme
• Power Aware Real Time Sensor Data Acquisition
• Push Based Data Dissemination
• Broadcasting in Wireless Networks

University of Massachusetts, Amherst

TCS forged a strategic research initiative with the University of Massachusetts, Amherst. TCS researchers partnered with the university’s Laboratory for Advanced Software Engineering Research (LASER) to identify software process design and product quality improvement opportunities for TCS and its customers. The research examined methodologies for systematically engineering ‘processes’ to achieve desired outcomes. This collaboration exploited the synergy between TCS research and UMASS research to create a truly innovative capability for process improvement that aimed beyond the current empirical models of continuous improvement provided by methodologies such as Six Sigma and the CMM. This advanced capability for process modeling, analysis and simulation enabled TCS to improve its in-house processes and thus deliver superior quality and value to our customers, as well as to provide consultancy to customers on improving their business processes.

Principal Investigator: Prof. Leon J. Osterweil   Read More...

Georgia Institute of Technology, Atlanta

TCS funded research in the area of regression testing. The overall goal of this research was to develop, and experiment with, static and dynamic program-analysis techniques to improve software quality and reduce the costs of quality-assurance activities. The research helped bring improvements in the regression testing activity.

The research project addressed techniques to support three important regression-testing tasks:

• Regression test selection: How to select a subset of test cases for any change in the application
• Test suite prioritization: How to order the execution of test cases that have been selected for a change, based on the likelihood that the tests will exhibit a different behavior.
• Test suite augmentation: How to identify the parts of a program that may be affected by a change, how to assess whether the affected parts have been adequately tested, and how to generate test data to exercise those affected parts that are inadequately tested.

The resulting techniques significantly improved the quality of software at reduced cost in terms of both time and effort.

Principal Investigator: Prof. Mary Jean Harrold   Read More...