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  1. #1
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    how to use historical data to optimize testing?

    We are executing a peculiar project for three releases now. Every time the requirements are same and all the three projects have been very similar in nature and content. By giving full coverage, we now have a empirical data which suggests that defects are most likely to occur in the same areas they have occured in the previous releases. At the same time for these similar consecutive projects, certain areas which were defect free in the initial release have remained defect free till now.

    I am trying to leverage this observation to come up with some kind of statistical model to optimize the number of test cases instead of testing the entire inventory for the next release. Any suggestion in paralance to prior experience or otherwise will be appriciated... thanks

  2. #2
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    Re: how to use historical data to optimize testing?

    Hi Amityraj,

    As per your question on leveraging the test cases based on a statistical model to optimize, rather going for statistical model. I would suggest that why don't you go as per the Risk based testing approach. Based on your previous experience on the cycles tested, categorize your test cases to high/medium/low on the basis of the requirements. Trace it to the requirements and send it your business users for review and approval.

    State that 100% of High risk test cases will be tested for every cycle,60% of medium risk test cases will be tested for every cycle and 30% of Low risk test cases will be tested for every test cycle.

    This is as per my view to your problem I have suggested. This need not be followed to the word, you can take the idea and implement as per your convenience.

    Regards,
    Ram G

  3. #3
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    Re: how to use historical data to optimize testing?

    Hi,

    If there is no time & budget constraint then I would suggest that you go for full coverage. However if have those constraint you should go for Risk Analysis as suggested by NRamGanesh.
    You can also devote some time for Random testing on error prone areas. This could yield you some bugs which remained undetected in previous releases.
    Best Regards,
    Sanket Vaidya

    Om - Effortless Text Generation http://sourceforge.net/p/omfortesting/home/description/

 

 

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