How To Create Testing Portfolios In GitHub Platform: Essential Tips. Most advice for software testers is to find and try to reproduce bugs. The applicants to share their github username, so that hiring managers can review their portfolio. If you are a software testing, I hope you’re asking What do I do next? The playing field for software testers while improving the robustness of a project’s quality.
Software testers travel a varied road: some love writing code and automating otherwise tedious testing tasks, while others enjoy strategic exploration of software to find the trickiest bugs, doing things that “no user would ever try”. Many enjoy a balance of both. Almost all software testers that I know suffer in one area: a living portfolio of work that they are able to present and discuss with hiring managers.
Developers have a lot more visibility in the github ecosystem to build a portfolio: their work necessitates frequent interaction with the platform, and developers have more obvious choices when it comes to showing their skills in the github medium. Many job postings for software developers and software testers ask for the applicants to share their github username, so that hiring managers can review their portfolio. Software testers are asked for this information, but the path forward (What should be included? What matters? Where do I even begin?) is daunting, at best.
I know, because I was one of those testers. I had heard, mostly from developers, to “go look for a project and find a way to contribute”. When I was a software tester, I couldn’t readily determine what contributions would be helpful to a project.
The shift towards microservices and modular applications makes testing more important and more challenging at the same time. Learn more here.
API endpoint when you send the get request to that URL it returns the JSON response. In this article, I am going to use postman assertions for all the examples since it is the most popular tool. But this article is not intended only for the postman tool.
The demand for delivering quality software faster — or “Quality at Speed” — requires organizations to search for solutions in Agile, continuous integration (CI), and DevOps methodologies. Test automation is an essential part of these aspects.
What do you do when you have lots of free time on your hands? Why not learn test programming strategies and approaches?
In this article we are going to compare three most popular machine learning projects for you.