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🚀 AI Testing Vlogathon! 🚀 Share Your 1-5 Minute Video on Transforming Testing with AI and Compete for Rewards! Gain Recognition Among Experts and Peers!

Forum|Forum|1 year ago
November 26, 2024
32 replies
15084 views

We’re excited to announce our first AI Testing Vlogathon, and we’re inviting YOU to participate and showcase your creativity and technical prowess!

This isn’t just another contest—it’s your chance to connect with fellow innovators, share your expertise, and earn recognition for your work. Oh, and did we mention the prizes?

To showcase the power of AI in testing, we’re launching a Vlogathon where you can submit 1-5 minute videos on some thrilling AI testing topics.

💡 Topics to Choose From:

🎥 Test Case Generation: Show how AI creates test cases from simple requirements, like a login form, and covers scenarios like empty fields or invalid inputs.

🎥 Defect Prediction: Use AI to predict high-risk areas in code and demonstrate how it highlights bug-prone modules for better testing focus.

🎥 Automated Test Script Maintenance: Show how AI updates broken test scripts after UI changes, saving time and effort.

🎥 Your Own Topic! Got a unique idea on how AI solves testing challenges? This is your chance to share it and inspire others.

🎁 Prizes for the Top 3 Winners:

🥇 1st Place: A prize amount valued at $100 USD
🥈 2nd Place: A prize amount valued at $50 USD, plus a book of your choice
🥉 3rd Place: A prize amount valued at $50 USD

But that’s not all! Participants with exceptional entries will also receive certificates of recognition and badges to flaunt in our community.

📅 Key Dates to Remember:

Submission Deadline: Dec. 18
Assessment Period: Dec. 18-20
Winners Announced: Dec. 20

🌟 How It Works:

Community Votes: Rally your network to vote for your video. Votes will be open until the assessment period.
Expert Board Review: Our expert panel will evaluate videos based on creativity, clarity, and technical depth.
Final Scores: Community votes + expert evaluations = our winners!

🎬 How to Participate:

Create a 1-5 minute original video on any of the topics listed above.

Submit your video (the file or a link) in the comments.

Promote your video and encourage your community to vote!

🗳 Who Can Vote?

Anyone! (Except yourself 😉) Ask your friends and colleagues to cast their votes and help you climb the leaderboard.

Don’t miss this opportunity to share your knowledge, educate others, and win prizes. Let’s put AI testing in the spotlight!

📗Use these resources to get inspiration:

Questions? Need help? Reach out to us at shiftsync@tricentis.com.

Get ready to innovate, inspire, and win!

Show previous replies

D

Dinesh_Gujarathi

Specialist

Shift Sync Community managers - As always, you're the best at conducting activities that are definitely useful for all of us. Kudos, Team!

To the community - For those who are getting started on integrating GenAI in your testing life cycle, I suggest you check out TestingTitbits by @parwalrahul and for prompting basics, the Prompting Guide

@Kat - Thanks for sharing those noteworthy resources. The content is excellent.

I tried to record the video multiple times as the content I wanted to cover was extensive. This final attempt is what I got the correct output for. And I hope, the attached Mindmap covers it and speaks a lot🚀.

I've attached my video as a Zip file, and I hope you'll enjoy it. Just drop me a message so we can discuss AI further.

A quick like 👍 would be appreciated, but a detailed comment would be a real treat! 🍬

Just adding to this, the video that I’ve explained is about leveraging Gen AI capabilities in test case creation and also for Test effort estimation (manual/automation).

Other than that, irrespective of your role or your technical expertise (coder/non-coder), I’ve designed this in a way that anyone can use it with minimal changes, and the main aim behind this is that testers can concentrate more on understanding the requirement, drafting more exploratory test scenarios, etc., which are definitely noteworthy areas to spend time on rather than spending hours on test case writing.

Here are real-time expertise notes on utilising GenAI:

Some LLMs cannot perform well because of token constraints. So better to be more precise on how many test cases you need, etc..,
LLMs can hallucinate because of more data they’ve trained on. So ask them what they’re considering while drafting the test case
They’re like us (not close though)—they can forget. As you already spent some time on understanding the requirements, etc., if you feel it has forgotten covering one test case, just go ahead and ask it like—I believe you’ve covered all the test cases except this scenario—XXXX. So that it'll draft a new one.
I’m in the process of doing POC where I’m training an LLM specific to this - The results are actually promising.

Happy learning.

Rishikeshvajre

Ensign

CHALLENGE -🚀 AI Testing Vlogathon! Submission

🎥 Happily Sharing My Entry in the AI Testing #Vlogathon! 🚀

🔗 Watch Me Here (just like my comment to vote) 👉

This video is to participate in the AI Testing Vlogathon, where I’ve explored AI’s capabilities and limitations in automated test execution.

From showcasing a working example -> to analyzing edge case failures and providing practical solutions with #Playwright + #ZerostepAI, this video is a deep dive into how AI can transform testing processes.

💡 Here’s what you’ll find in my video:

1️⃣ A generic working example of AI in testing.

2️⃣ An edge case failure analysis that reveals current limitations.

3️⃣ A Playwright-powered solution that addresses these challenges.

4️⃣ Key takeaways for the future of AI in test automation.

🗳 How Can You Support Me?

I’d love for you to check out my video and cast your vote! Your support not only helps me but also promotes innovation in AI testing.

🔗 Video Link Here:

💬 Let’s Connect: Have thoughts on AI in testing? Drop them in the comments or DM me—I’d love to discuss on the remaining Scripts/Solutions!

Let’s spotlight the future of testing together! 🌟

#AITesting #TestAutomation #Playwright #zerostepai #Vlogathon

Thank you Rahul Parwal who encouraged me in making this video effort!

Let me in the game and share it 💖 Kateryna Gandzeichuk, Mustafa Elshabrawy & Tricentis

Rishikesh Vajre | TestTales.com

RV

parwalrahul

Navigator

CHALLENGE -🚀 AI Testing Vlogathon! Submission

🎥 Happily Sharing My Entry in the AI Testing #Vlogathon! 🚀

🔗 Watch Me Here (just like my comment to vote) 👉

This video is to participate in the AI Testing Vlogathon, where I’ve explored AI’s capabilities and limitations in automated test execution.

From showcasing a working example -> to analyzing edge case failures and providing practical solutions with #Playwright + #ZerostepAI, this video is a deep dive into how AI can transform testing processes.

💡 Here’s what you’ll find in my video:

1️⃣ A generic working example of AI in testing.

2️⃣ An edge case failure analysis that reveals current limitations.

3️⃣ A Playwright-powered solution that addresses these challenges.

4️⃣ Key takeaways for the future of AI in test automation.

🗳 How Can You Support Me?

I’d love for you to check out my video and cast your vote! Your support not only helps me but also promotes innovation in AI testing.

🔗 Video Link Here:

💬 Let’s Connect: Have thoughts on AI in testing? Drop them in the comments or DM me—I’d love to discuss on the remaining Scripts/Solutions!

Let’s spotlight the future of testing together! 🌟

#AITesting #TestAutomation #Playwright #zerostepai #Vlogathon

Thank you Rahul Parwal who encouraged me in making this video effort!

Let me in the game and share it 💖 Kateryna Gandzeichuk, Mustafa Elshabrawy & Tricentis

Rishikesh Vajre | TestTales.com

This is super cool!

https://testingtitbits.com/

dheerajgambhir

Space Cadet

Do check this…

Test Mate is an innovative application powered by Open-Source Large Language Models (LLMs) that empowers software testers to streamline their workflow and boost their efficiency.

With Test Mate, you can 👉:

• Generate Test Cases: - based on requirements.

• Optimize Test Cases: - i.e. it can review and refine your test cases for maximum effectiveness.

• You can (Q&A) i.e. you can ask questions related to uploaded test cases and get instant answers.

• Also, you can convert manual test cases into boilerplate code for automation.

It is a multi-modal application, i.e. you can select model based on your needs.

Rishikeshvajre

Ensign

CHALLENGE -🚀 AI Testing Vlogathon! Submission

🎥 Happily Sharing My Entry in the AI Testing #Vlogathon! 🚀

🔗 Watch Me Here (just like my comment to vote) 👉

This video is to participate in the AI Testing Vlogathon, where I’ve explored AI’s capabilities and limitations in automated test execution.

From showcasing a working example -> to analyzing edge case failures and providing practical solutions with #Playwright + #ZerostepAI, this video is a deep dive into how AI can transform testing processes.

💡 Here’s what you’ll find in my video:

1️⃣ A generic working example of AI in testing.

2️⃣ An edge case failure analysis that reveals current limitations.

3️⃣ A Playwright-powered solution that addresses these challenges.

4️⃣ Key takeaways for the future of AI in test automation.

🗳 How Can You Support Me?

I’d love for you to check out my video and cast your vote! Your support not only helps me but also promotes innovation in AI testing.

🔗 Video Link Here:

💬 Let’s Connect: Have thoughts on AI in testing? Drop them in the comments or DM me—I’d love to discuss on the remaining Scripts/Solutions!

Let’s spotlight the future of testing together! 🌟

#AITesting #TestAutomation #Playwright #zerostepai #Vlogathon

Thank you Rahul Parwal who encouraged me in making this video effort!

Let me in the game and share it 💖 Kateryna Gandzeichuk, Mustafa Elshabrawy & Tricentis

Rishikesh Vajre | TestTales.com

This is super cool!

Thank you 😀

RV

komalgc

Ensign

My Entry in the AI Testing Vlogathon

A simple thumbs-up is sweet 🤗, but a thoughtful comment would be the cherry on top! 😎

Augmenting LLMs for Risk Identification

1. The Heuristic Bias Challenge

Because identifying risks is a heuristic-based activity it is subject to bias. This means that we can, at times, miss potential risks that require our attention

2. Testers List of Risk limited and is biased

3. Role of LLMs in mitigating bias:

We can use LLMs as an additional tool to help us consider different paths and perhaps highlight potential risks we hadn’t considered

4. Evaluating LLM Outputs

Importance of filtering useful risks:
Some risks are highly relevant, while others may overlap or seem redundant.

6. Balancing LLM Support and Tester Expertise

LLMs are valuable tools to explore new paths for risk identification.
They help testers break creative blocks and "shake things up" during the testing process.
A balanced approach combining LLM insights and human expertise leads to better exploratory testing outcomes.

References :

Software Testing with Generative AI - Mark Winteringham

https://thetesteye.com/posters/TheTestEye_SoftwareQualityCharacteristics.pdf

Thank you @parwalrahul for the shoutout to submit my entry and @Kat for sharing the challenge this was fun creating!

https://www.linkedin.com/posts/komal-chowdhary-1b701051_shiftsynctricentis-tricentis-llm-activity-7275132355831308288-_cRL?utm_source=share&utm_medium=member_desktop

-Komal Chowdhary

RisksusingLLM.zip

A

apoorva_uthra

Ensign

Sharing My Entry in the AI Testing #Vlogathon! 🚀

Postbot is an AI tool in Postman that can help with API development by:

Generating tests: Postbot can create tests from scratch or update existing ones. It can also suggest likely endpoint and parameter values to help ensure that all necessary endpoints and parameters are tested.
Visualizing responses: Postbot can visualize received responses in a table, line chart, or bar chart.
Writing documentation: Postbot can automatically write clear, concise, and up-to-date documentation for APIs.
Debugging APIs: Postbot can help debug APIs.
Answering questions: Postbot can answer random questions about building things in Postman.

Augmenting LLMs for Risk Identification

1. The Heuristic Bias Challenge

Because identifying risks is a heuristic-based activity it is subject to bias. This means that we can, at times, miss potential risks that require our attention

2. Testers List of Risk limited and is biased

3. Role of LLMs in mitigating bias:

We can use LLMs as an additional tool to help us consider different paths and perhaps highlight potential risks we hadn’t considered

4. Evaluating LLM Outputs

Importance of filtering useful risks:
Some risks are highly relevant, while others may overlap or seem redundant.

6. Balancing LLM Support and Tester Expertise

LLMs are valuable tools to explore new paths for risk identification.
They help testers break creative blocks and "shake things up" during the testing process.
A balanced approach combining LLM insights and human expertise leads to better exploratory testing outcomes.

References :

Software Testing with Generative AI - Mark Winteringham

https://thetesteye.com/posters/TheTestEye_SoftwareQualityCharacteristics.pdf

Thank you @parwalrahul for the shoutout to submit my entry and @Kat for sharing the challenge this was fun creating!

https://www.linkedin.com/posts/komal-chowdhary-1b701051_shiftsynctricentis-tricentis-llm-activity-7275132355831308288-_cRL?utm_source=share&utm_medium=member_desktop

-Komal Chowdhary

Loved the illustration, Komal :)

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