It has been more than 3 weeks into my Outreachy internship with Wikimedia foundations. The internship started well and the project that I'm working on is about evaluating Microsoft playwright as a possible replacement to the current automation testing framework being used. Week one was mostly about setting up the Wikimedia core by forking and cloning the Wikimedia core repository from Github. In order to simplify continuous integration, we are using Github as our code hosting platform to evaluate playwright instead of using Gerrit. The setup involved the following steps;
- Forking the Wikimedia repository
- Cloning the repository, setting up and running it on my local machine
- Connecting my forked with upstream
- Configuring CI.
The year 2020 has been a year of massive change in the entire world, there are mixed feelings of loss, confusion among others, but all in all, there is always hope that keeps us moving forward. I must say that being accepted as an Outreachy intern has been that ray of light at the end of the tunnel that I needed to end the year and begin the new year. Outreachy is a paid, remote internship program with the goal to support people from groups underrepresented in tech. Starting my career in the field of software engineering has been a journey of hard work, persistence, and seizing every opportunity since where I come from such opportunities are rare and the support for women's engagement in technology is quite low.
In Part 1 of Exempla Docent for QA practices, some approaches to testing ORES model articletopic were explored. This post, as Part 2, will present an overview on testing Suggested edits module (SE) - the UI that presents the ORES articletopic logic to users (more info on Newcomers tasks on Special:Homepage).
October 26-29 2020 was my team's second virtual offsite. We've had many offsites, but the first virtual one was in May 2020. The structure of this offsite was similar to the one in May. About four hours of sessions every day, from Monday to Thursday.
In Blog Post: Google Summer of Code, June-August 2020 I've said:
ORES provides machine learning as a service for Wikimedia projects. The ORES model articletopic was used for the Growth team project - Suggested edits for newcomers on Special: Homepage.
June and July were pretty busy. I was on vacation the majority of August. Interns and other mentors were busy even then. For more introduction, read my post Blog Post: Google Summer of Code, February-May 2020.
Software development is pretty agile in its nature in that things normally tend to move pretty quickly. However, the faster you move, the more things break. As a codebase grows in size, its pieces become more and more complex, with every line adding a potential bug. In Wikimedia Foundation, we keep a handle on this through rigorous amounts of testing. Manual testing requires a lot of effort especially when you have a large core repository with a plethora of plugins and extensions that need to be tested. One of the hot frameworks on the scene is Cypress, a complete end to end testing solution.
Written with ❤️ by Quality-and-Test-Engineering-Team (QTE).