Postgraduate : JIA-BEY LIU Adviser : CHIA-HUI WANG Co-adviser : LI-TIEN WANG, LUNG-LUNG LIU

 Research Background  Research Motive and Purpose  Build two models ◦ Developing Time Model ◦ Running Time Model  Analyze Two Models  Initial Research Result  Conclusion and Future Task

The course of practical training, we test user interface of web system. The testing tool is Selenium. Our testing scripts are made from Selenium. After getting testing scripts, we upload it to automated testing system(ATS). And we will get the testing report when run testing scripts finished.

 The long time of running time.  Tester cannot get into next step jobs until get the testing report.  The manager’s requirement is enhance the using rate of sub scripts.

 Trade-off between testing scripts of running time and developing time.  Running time model  Developing time model

There are some testing scripts developed by other testers before. Tester can insert it in their testing scripts by the command. We name those testing scripts are inserted sub script.

Element of model for developing time 1.Spending time of developing each command. D i,i={1,2,…,N}, N is defined as numbers of commands in the testing script. 2.Using sub script. T avg is defined as reducing time for using each sub script. 3.Finding sub script in host. F j,j={1,2,…,M}, M is defined as times of finding sub scripts.

, P : all of testing scripts

Element of model for running time 1.Spending time of running each command. R i,i={1,2,…,N}, N is defined as numbers of commands in the testing script. 2.Spending time of running each sub script. T j,j={1,2,…,M}, M is defined as numbers of sub scripts. 3.Waiting time between two sub scripts. P j,j={1,2,…,M}.

K : all of testing scripts: =

 We find a characteristic : ◦ Enhance the using rate of sub scripts can reduce developing time. But it will increase running time. Whereas reducing the using rate of sub scripts. Developing Time Model Running Time Model

The method trade-off between developing time and running time:  Reduce unneeded commands or testing scripts  To find the suitable number of sub scripts

 Enhance times of experiment  Find out the most suitable number of sub scripts.