Thank you for this. My question is that for Example 2 where A(2 vals), B(3 vals), C(3vals) Why did you choose Ortho-array of 9 rows and 4 columns? You could have chosen 4 rows and 3 columns?
Thank you for your question. The orthogonal array technique is to search for an Ortho-array (OA) with the smallest number of rows. The OA that I chose was the smallest published OA for the needed number of rows, max. number of vals taken and the number of columns. The OA with 4 rows and 3 columns only allows 2 vals for each variable. But the 9 rows OA allows 3 vals for each variable.
First, you can view Orthogonal Array Technique from 4:42. Regarding your question (view from 9:17), L4(2) and L8(2) cannot be chosen because they have only 2 possible values (levels), whereas we need 3 possible values for B and C variables. L9(3) is the next smallest OA, with only 9 rows (experiments). That is why L9(3) was chosen. Thank you.
@Nikhil Rathod - Orthogonal arrays are derived in mathematics. OA are used in the manufacturing domain. I explained the application of OA in software testing only.
@Subhadeep. Decision Table Testing tutorial: ua-cam.com/video/ED2iJXkdhCQ/v-deo.html The difference between OA testing and DT testing techniques is the combinations.OA are published but in DT you could list all the values yourself. You can view the beginning of both videos to know the difference too. Thank you.
Dear all, the Example 2 starts at 9:16 in this Orthogonal Array tutorial. It you look carefully in the published OA that I showed, Column 3 has the values: 1,2,3,2,3,1,3,1,2. This means that the variable C values will be C1,C2,C3,C2,C3,C1,C3,C1,C2. This is what I've shown in this tutorial. Dear subscriber, your comment has the values listed in Column 4 of the published OA. Since Example 2 has only 3 variables, I haven't used column 4 at all. Hope this clarifies your doubt!
Thanks alot sir :)
Thank you for this. My question is that for Example 2 where A(2 vals), B(3 vals), C(3vals) Why did you choose Ortho-array of 9 rows and 4 columns? You could have chosen 4 rows and 3 columns?
Thank you for your question. The orthogonal array technique is to search for an Ortho-array (OA) with the smallest number of rows. The OA that I chose was the smallest published OA for the needed number of rows, max. number of vals taken and the number of columns. The OA with 4 rows and 3 columns only allows 2 vals for each variable. But the 9 rows OA allows 3 vals for each variable.
may i know how you choose this orthogonal array(L9(3 power 4) for 2*3*3, because in table it shows it is for 3*3*3*3
First, you can view Orthogonal Array Technique from 4:42. Regarding your question (view from 9:17), L4(2) and L8(2) cannot be chosen because they have only 2 possible values (levels), whereas we need 3 possible values for B and C variables. L9(3) is the next smallest OA, with only 9 rows (experiments). That is why L9(3) was chosen. Thank you.
@@QA1 Thank u so much
How were these standard orthogonal arrays derived?
@Nikhil Rathod - Orthogonal arrays are derived in mathematics. OA are used in the manufacturing domain. I explained the application of OA in software testing only.
What is the difference between Orthogonal Array testing technique and Decision Table testing technique?
@Subhadeep. Decision Table Testing tutorial: ua-cam.com/video/ED2iJXkdhCQ/v-deo.html
The difference between OA testing and DT testing techniques is the combinations.OA are published but in DT you could list all the values yourself. You can view the beginning of both videos to know the difference too. Thank you.
In example 2, shouldn't column C have values C1 C2 C3 C3 C1 C2 C2 C3 C1? Because that's how it's shown in the orthogonal array...
Dear all, the Example 2 starts at 9:16 in this Orthogonal Array tutorial. It you look carefully in the published OA that I showed, Column 3 has the values: 1,2,3,2,3,1,3,1,2. This means that the variable C values will be C1,C2,C3,C2,C3,C1,C3,C1,C2. This is what I've shown in this tutorial.
Dear subscriber, your comment has the values listed in Column 4 of the published OA. Since Example 2 has only 3 variables, I haven't used column 4 at all. Hope this clarifies your doubt!