QA webinar „Combinatorics vs Сause-effect” (подія в архіві)

Took place
04 August (Thursday)

Test design is not always limited to the simplest techniques, i.e. equivalence class partitioning and boundary value analysis. Sometimes it is necessary to apply more complicated approaches. This training is about combinatorial and cause-effect test design techniques: a bit of explanation on the idea, the difference between the two, some useful tools and applications. We will finish up with three examples which throw both of the techniques into the mix.

• Explicit and implicit dependencies
• Pairwise or not pairwise
• Cause-effect
• How to code it
• Examples
• Target audience: Test engineers and maybe developers interested in more complicated test design techniques, algorithms and rationale behind those. Middle+ level.
• Language: English.

About Speaker:
Hanna Kaplun is Principal Test Engineering Lead at Intellias.
She’s got more than 10 years of experience in testing and a few as a support specialist, technical writer, Oracle DB developer, BA. Hanna has written a number of articles about testing and data science using R. She’s worked with all kinds of platforms (Windows, MacOS, iOS, Android, embedded) and performed quality audits and assessments with varying levels of formality. In addition, she’s conducted a lot of employee interviews and assessments, a few training sessions, meetups, conference speeches in testing. Hanna also has significant teaching experience (testing-related).

How to join:
Please register following this link:

The webinar is free, but the number of participants is limited due to technical reasons.
Please, provide your email during registration for more detailed instructions.

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Запис QA webinar „Combinatorics vs Сause-effect”:

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