Ujjwal Kumar Singh
SDET
He/Him
Software Tester | Quality Adovcate | OSS Enthusiast |
Visit https://beinghumantester.github.io/ to know more about me.
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Shift your mindset to catch better bugs, collaborate more effectively with developers, and rediscover enjoyment in your testing work
When AI meets brain... creativity takes a hit
One of my most cherished memories since transitioning into automation is having my contributions recognized by the Selenium community and being in the spotlight.
Unpack quality coaching, job titles, happy paths, and pull request templates in an episode full of candid chat and personal stories
In software testing, generalist is someone who has wide range of knowledge in testing domain instead of having expertise in any particular testing domain.
When you don't want to miss the event you come with your own copy so that you don't lose access in MOTAVERSE.
Friday evening in a tester's life: The perfect clash between weekend dreams and build releases.
Tester, Testing & AI Tools in single frame.
In my opinion, in agile, when the product is deployed continuously through the CI/CD pipeline, it is important to maintain quality, and that too continuously. Hence, continuous quality is a journey of maintaining quality while the team introduces or modifies features, fixes bugs, refactors code, etc. in every sprint. — Ujjwal Kumar Singh
There are different types of oracles we can use in software testing, each serving as a guide to help us determine whether something is a defect or working as expected. Here’s a breakdown of the common oracle types:
Specified: Based on docs and requirements. Clue: “It’s written down.”
Implicit: Based on common sense or expectations. Clue: “It should just work like this.”
Human: Based on expert opinion. Clue: “Let me ask someone.”
Regression: Based on past results. Clue: “It was working fine last week.”
Heuristic: Based on best practices and design rules. Clue: “This feels wrong.”
Derived: Based on calculations or models. Clue: “Let me check the math.”
Statistical: Based on data patterns or probabilities. Clue: “The numbers don’t look right.”