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REVOLUTIONIZING SOFTWARE QUALITY THROUGH ANALYSIS TOOLS
Title: Revolutionizing Software Quality through Analysis Tools
Location: Building 23, Moffett Field CA
Start Date/Time: 01.18.06, 6:00PM
End Date/Time: 01.18.06, 8:30PM
Software analysis tools are revolutionizing the quality of the software delivered by today's industry leaders. Large vendors such as Microsoft use static analysis to find bugs, eliminate security holes, and deliver high-quality patches to deployed software in a timely fashion. These analysis tools excel at finding the exact classes of errors that are difficult to find through testing and other quality assurance practices.
This talk addresses the reasons why traditional quality assurance practices such as testing are no longer adequate to deliver the dependability that is required to compete in today's software marketplace. It describes the fundamental advantages of static analysis technology and how the weaknesses of previous QA practices are addressed. Finally, it provides preliminary guidance on how companies can integrate analysis tools into a comprehensive quality assurance strategy.
To sign up/RSVP and for more information, see https://alumni2.tepper.cmu.edu/cmuEvents/find-event2.asp#806
$20-General, $10-Alumni, 0-CMU Students/Staff
Pricing:
General Admission: 20.00
Contact:
Marie Lenzi
pdc@west.cmu.edu">pdc@west.cmu.edu
Sponsored By: Professional Development Center
Speaker(s):
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Jonathan Aldrich
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Assistant Professor
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Overview
Jonathan Aldrich is Assistant Professor in the School of Computer Science at Carnegie Mellon University and a member of CMU’s Institute for Software Research International (ISRI). He received his BS from Cal-tech and his PhD from the University of Washington. Dr. Aldrich’s research achievements include analysis techniques for optimizing concurrent programs and verifying correct implementation of an architectural design. He has also made major contributions to understanding the modularity of aspect-oriented pro-gramming and expressing interaction protocols in object-oriented systems. In addition to this course, he teaches a comprehensive graduate-level course on analysis for software engineering and an undergraduate software engineering course, both of which he developed.
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