multivariate visualization in observation-based testing
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.
multivariate visualization visualization observation-based testing test exploration use support data select applications filtering regression testing correspondence analysis compilation data visualization software testing observability multivariate data analysis