Generating Small Combinatorial Test Suite via LP

نویسندگان

  • Lixin Wang
  • Renxia Wan
  • Mingjun Wang
  • Minghao Li
چکیده

Generating a set of combinatorial test cases for web application and development is very important. Linear programming (LP) is one of approaches to generating small combinatorial test suite. But, for software under test (SUT), the number of combinatorial test cases is often extremely large. If using LP to optimize test suite, the optimizing efficiency is low for the enormous size of LP variables and constraints (we call macro-LP). In view of the issue, we propose a new approach to optimization of test suite by using LP. The main ideas is to divide macro-LP into microLP which has relatively small sizes of LP variables and constraints. Experimental results show that the approach can improve the efficiency of solving test suite via LP greatly.

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تاریخ انتشار 2009