From: Craig Chambers (chambers@cs.washington.edu)
Date: Thu Oct 24 2002 - 13:17:03 PDT
FYI, this talk is about some work by people related to the Jalapeno project, on
some new static analysis techniques. I encourage you to come.
-- Craig
-------- Original Message --------
Subject: UW-CSE Colloq / 11-4-02 / Koved / IBM TJ Watson / SABER: StaticAnalysis
Based Error Reduction
Date: Thu, 24 Oct 2002 11:55:12 -0700 (PDT)
From: Scott Dakins <sjdakins@cs.washington.edu>
To: talks <talks@cs.washington.edu>
*******************************************
*NOTE: THIS LECTURE WILL NOT BE VIDEOTAPED*
*******************************************
UNIVERSITY OF WASHINGTON
Seattle, Washington 98195
Department of Computer Science and Engineering
Box 352350
(206) 543-1695
COLLOQUIUM
SPEAKER: Larry Koved, IBM T.J. Watson Research Center
TITLE: SABER: Static Analysis Based Error Reduction
DATE: Monday, November 4, 2002
TIME: 4pm
PLACE: MGH 242
HOST: Craig Chambers
ABSTRACT:
The industry standard Java 2 Enterprise Edition (J2EE) platform, provides
a rich and flexible environment for developing a wide range of server
applications. Developers have the freedom to choose from a multitude of
options both in the components they use, and in how they use each
component to write their applications. However, the model has a number of
pitfalls that can cause performance and/or stability/correctness problems
for deployed applications. The challenge is in identifying misuses of the
Java and J2EE programming model.
The SABER project is investigating a set of technologies based on control
and data flow analysis of programs that aide in improving runtime
performance and stability of deployed application code. In particular we
will focus on a set of analyses that identify J2EE programming model
coding errors that cause correctness and performance degradation. Unlike
a traditional "lint" program, we perform a deep analysis of the program
using detailed control and data flow analyses. These deeper analyses give
us a much better picture of the overall application behavior. This deep
analysis is in contrast to shallow analyses in current industry tools,
that only look at a single or a few classes at a time.
The University of Washington is committed to providing access, equal
opportunity and reasonable accommodation in its sevices, programs,
activities, education and employmen for individuals with disabilities. To
request disability accommodation, contact the Disability Services Office
at least ten days in advance of the event at: (206) 543-6450/V, (206)
543-6452/TTY, (206) 685-3885/FAX, or access@u.washington.edu.
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