Software Testing Conference 2019
Architect Continous Quality
Me and some of the folks from AppDynamics Bangalore Office went to STC 2019, organized by QAI to attend this two day long conference. The conference covered a range of topics from the domain of Software Testing, including RPA to application of AI/ML to solve interesting problems in Software Testing. I am going to list down the talks which I attended and the key take-aways from that talk. So let’s go π
A Glimpse of Future: Testing in 2025 #
Continous Architecture Characterization for Improving Systems Reliablity and Resilience #
This talk was given by Mahesh Venkataraman from Accenture. He discussed some interesting points like:
- Being human will never go out of fashion AI should be artificial imagination, which machines can’t do
- Runtime impact of design decisions
- Distributed and heterogenous system have unpredictable behaviour (How to test this?)
- No one discusses about new paradigms in testing, we are still with the structure test plan/test cases
- Talked about chaos engineering
CodeVox: An Analytics/ML based riskier component prediction #
This talk was given by Vivek Jaykrishnan & Jagdeesh Venugopal from Capgemini.
Honestly, this was one of my favourite talks in the entire conference, the talk was based on a real use case that they had to solve for one of their clients. The client was building their own Operating System on top of Automotive Gradle Linux, and they wanted to find the most riskiest files which may lead to a fatal error in the top layer of the OS which they develop.
Ginger by Amdocs #
This was a demo given by some engineers from Amdocs about their in house developed open source tool named Ginger, which they claim to be an IDE for automation. It can be used by people with or without programming experience.
After these talks we had a Lunch Break and a few more talks planned. Meanwhile, after lunch our hard working team was discussing about the talks discussed above π
World Quality Report 2019-20 #
This talk was presented by Dhiraj Sinha from Capgemini.
There were other talks as well, but these were the talks that I found interesting. Thanks for reading and catch you guys in the next one! π