The title of this project is inspired from the must-see video
John Hughes - Testing the Hard Stuff and Staying Sane
I would like to play with QuickCheck to generate tests and possibly find bugs automatically.
I chose Wicked as the tested software, but it could be anything else.
My hope is to stay away from Haskell as much as possible as I have no real interest in learning Yet Another Programming Language. Ideally, I would reuse as much as possible from the existing Ruby testsuite for Wicked and stick to Ruby. There are projects like RubyCheck that are ports of QuickCheck to Ruby. But well, if I have to learn Haskell as part of this project, I would do it.
Feel welcome to join the project.
Looking for hackers with the skills:
This project is part of:
Hack Week 13
Activity
Comments
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about 9 years ago by e_bischoff | Reply
Yes, apart from the choice of examples (Wicked in my case), it is more or less the same project.
And as a matter of fact, I don't want to start with Wicked straight ahead. The plan was to implement in a first step more or less the same example as in the video : it would be an external C program that manages a queue (of integers, why not). I hope to do as many bugs as they do in the video :-) so RubyCheck has at least something to find.
I would use Rantly too to generate the testcase integers. So yeah, a lot of similarities. Thanks for pointing that.
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about 9 years ago by e_bischoff | Reply
I just realized that Rantly implements QuickCheck too, it is not only for generating random data.
So there are three out there: Rantly, RushCheck, RubyCheck . Not sure yet which one to take, that will be part of the exploration.
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about 9 years ago by e_bischoff | Reply
Nope, rantly does not implement QuickCheck, despite what it says. It is just a very convenient random input generator.
Getting back to RubyCheck as initially planned.
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about 9 years ago by e_bischoff | Reply
RubyCheck too does no test failure reduction. Rantly at least has "shrinking", but it is shrinking of data types (strings, integers...), not a sequence of test cases... Do I have to map manually a sequence of test cases to such a data type?
I also discovered Theft. Continuing exploration...
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about 9 years ago by e_bischoff | Reply
I ussceeded reducing (shrinking) with Rantly. Starting to save my experiments in my gitlab home project.
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about 9 years ago by e_bischoff | Reply
Hackweek finished. I did not make it in time testing Wicked with that way.
I wrote a report with all my finding in the gitlab project:
https://gitlab.suse.de/ebischoff/generate_tests/blob/master/hackweek.txt
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about 9 years ago by e_bischoff | Reply
I would need 3 days to finish the hackweek project and do its application to wicked.
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over 8 years ago by e_bischoff | Reply
I'll consider the project as finished - Rantly has been improved, with my patches accepted upstream, and I played with the tool enough to know quite well his strengths and weaknesses.
If I want to test wicked with it, it could be a separate hackweek project.
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Description
AI has the potential to help with something many of us spend a lot of time doing which is making sense of openQA logs when a job fails.
User Story
Allison Average has a puzzled look on their face while staring at log files that seem to make little sense. Is this a known issue, something completely new or maybe related to infrastructure changes?
Goals
- Leverage a chat interface to help Allison
- Create a model from scratch based on data from openQA
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Bonus
- Use AI to suggest solutions to merge conflicts
- This would need a merge conflict editor that can suggest solving the conflict
- Use image recognition for needles
Resources
Timeline
Day 1
- Conversing with open-webui to teach me how to create a model based on openQA test results
- Asking for example code using TensorFlow in Python
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Day 2
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- Researching the possibility of creating a project logo with AI
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Highlights
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- Convincing the chat interface to produce code specific to my use case required very explicit instructions.
- Asking for advice on how to use open-webui itself better was frustratingly unfruitful both in trivial and more advanced regards.
- Documentation on source materials used by LLM's and tools for this purpose seems virtually non-existent - specifically if a logo can be generated based on particular licenses
Outcomes
- Chat interface-supported development is providing good starting points and open-webui being open source is more flexible than Gemini. Although currently some fancy features such as grounding and generated podcasts are missing.
- Allison still has to be very experienced with openQA to use a chat interface for test review. Publicly available system prompts would make that easier, though.
Testing and adding GNU/Linux distributions on Uyuni by juliogonzalezgil
Join the Gitter channel! https://gitter.im/uyuni-project/hackweek
Uyuni is a configuration and infrastructure management tool that saves you time and headaches when you have to manage and update tens, hundreds or even thousands of machines. It also manages configuration, can run audits, build image containers, monitor and much more!
Currently there are a few distributions that are completely untested on Uyuni or SUSE Manager (AFAIK) or just not tested since a long time, and could be interesting knowing how hard would be working with them and, if possible, fix whatever is broken.
For newcomers, the easiest distributions are those based on DEB or RPM packages. Distributions with other package formats are doable, but will require adapting the Python and Java code to be able to sync and analyze such packages (and if salt does not support those packages, it will need changes as well). So if you want a distribution with other packages, make sure you are comfortable handling such changes.
No developer experience? No worries! We had non-developers contributors in the past, and we are ready to help as long as you are willing to learn. If you don't want to code at all, you can also help us preparing the documentation after someone else has the initial code ready, or you could also help with testing :-)
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To consider that a distribution has basic support, we should cover at least (points 3-6 are to be tested for both salt minions and salt ssh minions):
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- Bonus point: Java part for product identification, and monitoring enablement
- Bonus point: sumaform enablement (https://github.com/uyuni-project/sumaform)
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If something is breaking: we can try to fix it, but the main idea is research how supported it is right now. Beyond that it's up to each project member how much to hack :-)
- If you don't have knowledge about some of the steps: ask the team
- If you still don't know what to do: switch to another distribution and keep testing.
This card is for EVERYONE, not just developers. Seriously! We had people from other teams helping that were not developers, and added support for Debian and new SUSE Linux Enterprise and openSUSE Leap versions :-)
Pending
FUSS
FUSS is a complete GNU/Linux solution (server, client and desktop/standalone) based on Debian for managing an educational network.
https://fuss.bz.it/
Seems to be a Debian 12 derivative, so adding it could be quite easy.
[W]Reposync (this will require using spacewalk-common-channels and adding channels to the .ini file)[W]Onboarding (salt minion from UI, salt minion from bootstrap script, and salt-ssh minion) (this will probably require adding OS to the bootstrap repository creator) --> Working for all 3 options (salt minion UI, salt minion bootstrap script and salt-ssh minion from the UI).[W]Package management (install, remove, update...) --> Installing a new package works, needs to test the rest.[I]Patching (if patch information is available, could require writing some code to parse it, but IIRC we have support for Ubuntu already). No patches detected. Do we support patches for Debian at all?[W]Applying any basic salt state (including a formula)[W]Salt remote commands[ ]Bonus point: Java part for product identification, and monitoring enablement
Automated Test Report reviewer by oscar-barrios
Description
In SUMA/Uyuni team we spend a lot of time reviewing test reports, analyzing each of the test cases failing, checking if the test is a flaky test, checking logs, etc.
Goals
Speed up the review by automating some parts through AI, in a way that we can consume some summary of that report that could be meaningful for the reviewer.
Resources
No idea about the resources yet, but we will make use of:
- HTML/JSON Report (text + screenshots)
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Yearly Quality Engineering Ask me Anything - AMA for not-engineering by szarate
Goal
Get a closer look at how developers work on the Engineering team (R & D) of SUSE, and close the collaboration gap between GSI and Engineering
Why?
Santiago can go over different development workflows, and can do a deepdive into how Quality Engineering works (think of my QE Team, the advocates for your customers), The idea of this session is to help open the doors to opportunities for collaboration, and broaden our understanding of SUSE as a whole.
Objectives
- Give $audience a small window on how to get some questions answered either on the spot or within days of how some things at engineering are done
- Give Santiago Zarate from Quality Engineering a look into how $audience sees the engineering departments, and find out possibilities of further collaboration
How?
By running an "Ask me Anything" session, which is a format of a kind of open Q & A session, where participants ask the host multiple questions.
How to make it happen?
I'm happy to help joining a call or we can do it async (online/in person is more fun). Ping me over email-slack and lets make the magic happen!. Doesn't need to be during hackweek, but we gotta kickstart the idea during hackweek ;)
Rules
The rules are simple, the more questions the more fun it will be; while this will be only a window into engineering, it can also be the place to help all of us get to a similar level of understanding of the processes that are behind our respective areas of the organization.
Dynamics
The host will be monitoring the questions on some pre-agreed page, and try to answer to the best of their knowledge, if a question is too difficult or the host doesn't have the answer, he will do his best to provide an answer at a later date.
Atendees are encouraged to add questions beforehand; in the case there aren't any, we would be looking at how Quality Engineering tests new products or performs regression tests
Agenda
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Drag Race - comparative performance testing for pull requests by balanza
Description
«Sophia, a backend developer, submitted a pull request with optimizations for a critical database query. Once she pushed her code, an automated load test ran, comparing her query against the main branch. Moments later, she saw a new comment automatically added to her PR: the comparison results showed reduced execution time and improved efficiency. Smiling, Sophia messaged her team, “Performance gains confirmed!”»
Goals
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