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Software Engineering Data Analysis Techniques

Amrit L. Goel, Miyoung Shin

During the past few years, there has been an increasing emphasis on the use of quantitative measures for monitoring and controlling software projects. As a result, collection of product and processdata has become a standard practice in major software development organizations. While there has been a growing emphasis on the collection of metrics data, relatively very little work has been done on the systematic use of appropriate data analysis techniques. For metrics or measurement undertakings to be successful, we feel that it is essential to address both the data collection and analysis activities as mutually inseparable.

Amrit L. Goel is Professor of Electrical and Computer Engineering and a member of the Computer and Information Science Faculty at Syracuse University - Dr. Goel's current interests are in software reliability and testing, fault tolerant software, and performance modeling of parallel systems. He was recently elected a fellow of the IEEE for his contributions to the reliability of computer software.

1997 International Conference on Software Engineering
Last modified: 10 May 1997