🚀 go-pugleaf

University of Colorado at Boulder
Department of Computer Science
ECOT 717 Engineering Center
Campus Box 430
Boulder, Colorado 803090430
(303) 492-7514, FAX: (303) 492-2844
CS COLLOQUIUM
Regression Test Selection for Java Software
Alessandro Orso
Georgia Tech
Thursday, October 31, 2002
3:30 - 4:30 PM
Engineering Center Classroom 265
Refreshments will be served afterwards in ECOT 831

As software evolves during development and maintenance, regression testing 
is applied to modified versions of the software to provide confidence that 
the changed parts behave as intended and that the unchanged parts have not 
been adversely affected by the modifications.  To reduce the cost of 
regression testing, test cases are selected from the test suite that was 
used to test the original version of the software---this process is called 
Regression Test Selection (RTS).  A safe RTS algorithm selects every test 
case in the test suite that may reveal a fault in the modified 
software.  Safe RTS techniques can help to reduce the time required to 
perform regression testing because they select only a portion of the test 
suite for use in the testing but guarantee that the faults revealed by this 
subset will be the same as those revealed by running the entire test 
suite.  This presentation discusses the first safe RTS technique that, 
based on the use of a suitable representation, handles the features of the 
Java language.  Furthermore, unlike other safe regression test selection 
techniques, the presented technique also handles incomplete programs.  The 
technique
can thus be safely applied in the (very common) case of Java software that 
uses external libraries or components; the analysis of the external code is 
not required for the technique to select test cases for this kind of 
software.  The presentation also describes DejaVOO, an RTS system that 
implements our technique and a set of empirical studies that demonstrate 
the potential savings that can be achieved using our technique on real 
subjects.  These studies show that, for the considered subjects, our RTS 
technique can be effective in reducing the size of the test suite.

Host:  Antonio Carzaniga
------------------------------
http://www.cs.colorado.edu/department/events/colloquia/colloquia.html

Sign Language Interpreters Available Upon Request.  Please contact 
Stephanie Morris, Department of Computer Science, Engineering  ECOT 722, 
303-492-6101, at least five days prior to the colloquium.

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