The n-way combination testing is a specification-based testing criterion, which requires that for a system consisted of a few parameters, every combination of valid values of arbitrary n(n >_2) parameters be covere...The n-way combination testing is a specification-based testing criterion, which requires that for a system consisted of a few parameters, every combination of valid values of arbitrary n(n >_2) parameters be covered by at least one test. This letter proposed two different test generation algorithms based on combinatorial design for the n-way coverage criterion. The automatic test generators are implemented and some valuable empirical results are obtained.展开更多
The scientific software installation testing has a main goal： Evaluate if the software meets its requirements and specifications. In this paper, the scientific software installation in six machines is evaluated. The ...The scientific software installation testing has a main goal： Evaluate if the software meets its requirements and specifications. In this paper, the scientific software installation in six machines is evaluated. The software installation was tested using a PDCA （Plan-Do-Check-Act） approach in 3 machines and were compared with other 3 machines which were installed exclusively based in the installer experience. The software installed on the machines using a PDCA approach for testing, lead to the expected results. Scientific software installation should be tested during the installation and not as a final test. A methodology based on PDCA is recommended for testing scientific software.展开更多
文摘The n-way combination testing is a specification-based testing criterion, which requires that for a system consisted of a few parameters, every combination of valid values of arbitrary n(n >_2) parameters be covered by at least one test. This letter proposed two different test generation algorithms based on combinatorial design for the n-way coverage criterion. The automatic test generators are implemented and some valuable empirical results are obtained.
文摘The scientific software installation testing has a main goal： Evaluate if the software meets its requirements and specifications. In this paper, the scientific software installation in six machines is evaluated. The software installation was tested using a PDCA （Plan-Do-Check-Act） approach in 3 machines and were compared with other 3 machines which were installed exclusively based in the installer experience. The software installed on the machines using a PDCA approach for testing, lead to the expected results. Scientific software installation should be tested during the installation and not as a final test. A methodology based on PDCA is recommended for testing scientific software.
