The Effective Factor Choice and Allocating Method for Orthogonal Array in Software Testing

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  • 直交表を用いたソフトウェアテストにおける効果的な因子選択・割り付け手法
  • 直行表を用いたソフトウェアテストにおける効果的な因子選択・割り付け手法
  • チョッコウヒョウ オ モチイタ ソフトウェア テスト ニ オケル コウカテキ ナ インシ センタク ・ ワリツケ シュホウ

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The HAYST method that is a combination software testing technique using orthogonal array has been developed to improve the quality and efficiency of testing for embedded software. On the other hand, I thought it should be applied HAYST method for large scale business software. Because there is a case of symptomatic handling like a whack-a-mole game for defects after delivery. However, HAYST method has tended to increase in linear scale of test cases for the count of factors ; it could not be applied directly. So, HAYST method was added some extension for to confirm that the method can be applied even for large scale business software. In large scale business software, there are many combinations of errors in customer data patterns, these patterns creation is the key for success. And, defects can be detected by testing a combination of state variables rather than designing the test from the state diagram. And, each group assigned to a small orthogonal array, which reduces the number of test cases by combining them. 1 year after delivery of the defects were not detected, It's confirmed that HAYST method is effective in large scale business software.

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