Intelligent versus Random Software Testing(Metrics, Test, and Maintenance)(<Special Section>Knowledge-Based Software Engineering)

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概要

• 論文の詳細を見る

• Comparison of intelligent and random testing in data inputting is still under discussion. Little is also known about testing for the whole software and empirical testing methodology when random testing used. This study research not only for data inputting testing, but also operation of software (called transitions) in order to test the whole GUI software by intelligent and random testing. Methodology of this study is that we attempt to research efficiency of random and intelligent testing by Chinese postman problem. In general, random testing is considered straightforward but not efficient. Chinese postman problem testing is complicated but efficient. The comparison between random and intelligent testing would give further recommendation for software testing methodology.

• 社団法人電子情報通信学会の論文
• 2004-04-01

著者

• Takahashi Juichi

  SAP Labs Tokyo

• Takahashi J

  Sap Labs Tokyo

関連論文

• Software Testing by Petri Net
• Extended-model Based testing by Using Directed Chinese Postman Problem
• Effective Automated Testing for Graphical Objects(テスト技法・保守技術)
• Intelligent versus Random Software Testing(Metrics, Test, and Maintenance)(Knowledge-Based Software Engineering)

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