Title :
Multivariate visualization in observation-based testing
Author :
Leon, David ; Podgurski, Andy ; White, Lee J.
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Case Western Reserve Univ., Cleveland, OH, USA
Abstract :
We explore the use of multivariate visualization techniques to support a new approach to test data selection, called observation-based testing. Applications of multivariate visualization are described, including: evaluating and improving synthetic tests; filtering regression test suites; filtering captured operational executions; comparing test suites; and assessing bug reports. These applications are illustrated by the use of correspondence analysis to analyze test inputs for the GNU GCC compiler
Keywords :
program testing; program visualisation; GNU GCC compiler; bug report assessment; captured operational execution filtering; correspondence analysis; multivariate visualization; observation-based testing; regression test suite filtering; synthetic tests; test data selection; test suite comparison; Application software; Data analysis; Data visualization; Filtering; Graphical user interfaces; Instruments; Message passing; Permission; Runtime; Software testing;
Conference_Titel :
Software Engineering, 2000. Proceedings of the 2000 International Conference on
Conference_Location :
Limerick
Print_ISBN :
1-58113-206-9
DOI :
10.1109/ICSE.2000.870403
