Earticle

초록

영어

The work demonstrates the case study of using black box testing and white box testing. It attempts to reduce the size of test cases generated. The data mining approach is explored. We present the methodology starting from the test case generation for the block box and the white box approaches. Pex software[1] is used to generate test cases for white box testing. Also, for the black box testing, we analyze input variables for each condition. We use statistical values to analyze related variables and select variables. Then, we use clustering to reduce test cases. We can further reduce the test case from 648 to 486 and to 324 for black box testing using K-Means while clustering keeping the same coverage. For the white box testing, Pex already generates the small size test case. Thus, it is not meaningful to reduce further.

목차

Abstract
 1. Introduction
 2. Backgrounds
 3. Methodology
  3.1. Prototype Example
  3.2. Constructing Test Cases
  3.3. Test Case Clustering
 4. Results
 5. Conclusion
 References

키워드

저자

• Chantana Chantrapornchai [ Dept. of Computer Engineering, Faculty of Engineering Kasetsart University, Bangkok, Thailand ]
• Kanitsara Kinputtan [ Dept. of Computing, Faculty of Science Silpakorn University,Nakorn Pathom, Thailand ]
• Apaporn Santibowanwing [ Dept. of Computing, Faculty of Science Silpakorn University,Nakorn Pathom, Thailand ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Software Engineering and Its Applications

• 간기

  월간

• pISSN

  1738-9984

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605