QA companies strive to keep up with the latest technologies to ensure a product’s quality, including adopting AI tools. In recent years, the rise of Artificial Intelligence (AI) has spread throughout the internet and software testing industry, bringing new tools and frameworks to perform tests throughout the software development life cycle. Testers employ these tools and frameworks to aid them in numerous time-consuming and repetitive tasks.
We at BetterQA are no strangers to the benefits of AI in software testing. For today’s article, we asked our QA team to recommend us their favorite AI tools while also sharing how these tools have assisted them in QA-related tasks.
ChatGPT
One of the most popular AI-driven tools in the industry today is ChatGPT, developed by OpenAI. ChatGPT is a conversational AI chatbot that helps users interact with the program and find solutions to problems by sourcing information from various materials, such as textbooks and web articles.
One of our colleagues uses ChatGPT alongside Cypress daily. “Whenever I’m working with Cypress and need help writing a function, I just type in the details, and ChatGPT provides me with guidance. It teaches me how to write the function and even suggests improvements or alternatives based on Cypress best practices,” they say.
Some of the valuable insights ChatGPT has provided to our team include:
Setting up Cypress.env.
Laying down the base for using Cypress Fixtures.
Understanding multiple options for cy.contains.
Gaining insights on cy.clock() and cy.tick().
Creating a download function that verifies file content without actually downloading the file using API cy.request.
Our colleague sums it up perfectly: “ChatGPT is the right tool at the right time. It helps cut through the noise and provides exactly what I need when I’m stuck.”
TabNine
Next up is Tabnine, a generative AI tool that predicts and suggests code completions based on context and syntax. It helps developers write efficient code faster by predicting entire lines or even functions.
When it comes to automation testing, Tabnine is a real game-changer. “Tabnine helps by suggesting code completions when I’m writing automated tests,” one tester explains. “It’s better than just copying and pasting because it predicts the line of code or function 8/10 times, making coding faster and less error-prone.”
Our QA team has also seen improvements in their work with TestProject‘s AI tools. “We use TestProject’s AI tool, which re-identifies elements that are no longer found on a webpage. Instead of letting the tests fail, the AI bot fixes the test, saving us valuable time.”
Some of the most helpful AI features from TestProject include:
Self-Healing: Automatically identifies new ways to locate broken elements, preventing tests from failing unnecessarily.
Adaptive Wait: Optimizes waiting times between actions in an automated test, ensuring smoother execution without time-out failures.
Automation Assistant: While AI cannot replace testers, it provides suggestions to improve test stability and effectiveness.
QuillBot, Wordtune, and other AI tools
AI tools aren’t just confined to coding and testing. Tools like QuillBot, Wordtune, and other AI-driven text editing tools can be incredibly helpful for writing tasks. For example, testers often need to write formal emails, documentation, or reports. Instead of spending too much time editing, AI tools can help with grammar checks, paraphrasing awkward sentences, and offering alternative ways to phrase ideas.
As one of our colleagues puts it, “These tools help me write better emails without wasting time, so I can focus on more important tasks.”
AI Tools in Software Testing: A Helping Hand, Not a Replacement
While we’ve seen significant improvements using AI tools, we all agree that these tools will never fully replace human expertise in the software testing field. Instead, they’re here to assist, streamlining repetitive tasks, offering real-time suggestions, and making life easier for QA engineers.
As we look forward to the future, we’re excited about the continued evolution of AI tools in the software testing world. They’re making testing faster, more efficient, and less prone to human error, and we can’t wait to see what more AI tools will bring to the table in 2023.
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