Context QA's Agentic AI for Software Testing 🤖

Summary

Context QA's Agentic AI for software testing aims to eliminate bugs by automating the entire testing process. This involves understanding documentation, creating test plans, performing risk analysis, and executing various types of tests like performance, security, load, and API testing. The AI divides tasks into 20 responsibilities, automating test scenarios from user stories and generating root cause analyses with detailed reports. It integrates user data to prioritize tests and supports multiple testing environments and mobile apps, ensuring efficient, detailed testing without maintenance needs.

Highlights

• AI-driven testing eliminates bugs for good! 🚀
• 20 responsibilities divided among AI agents for efficient testing 🤖
• Automates testing scenarios from plain English with no maintenance needed 📝
• Prioritizes the most important test scenarios from real user data 🌐
• Generates comprehensive reports including root cause and performance analysis 📋

Key Takeaways

• Agentic AI eliminates bugs through automation and efficiency 🤖
• Supports a wide range of tests including security, performance, and load 📊
• Handles user data to prioritize and generate accurate test cases 🚀
• Offers detailed root cause analyses and reports for each test 📝
• Supports multi-environment and mobile testing for comprehensive coverage 📱

Overview

Software testing has always been a meticulous task, often requiring testers to perform numerous tests like load, performance, and security testing. However, Context QA is here to transform this landscape with its Agentic AI, designed to ensure that bugs are a thing of the past. This solution automates a comprehensive suite of tasks, including creating test strategies, understanding complex user documentation, and performing risk analysis, enabling continuous testing and detailed reporting.

Context QA divides its AI responsibilities smartly into 20 categories, automating each aspect of testing. From understanding live user sessions to generating test scenarios in plain English, the AI handles it all! It performs these tasks with accuracy, requiring no maintenance, and provides granular root cause analyses, ensuring no stone is left unturned in the testing process. The result is a seamless integration of user data to prioritize testing on essential scenarios, thus maximizing efficiency.

In addition to its extensive capabilities in test automation, Context QA seamlessly accommodates mobile application testing and supports testing across different browsers and environments. The platform not only organizes test cases with ease but also delivers significant insights through its testing reports that cover everything from performance to security. By doing so, it provides a holistic and dynamic testing approach that caters to modern software development needs, ensuring that developers can ship product updates with confidence.

Context QA's Agentic AI for Software Testing 🤖 Transcription

• 00:00 - 00:30 today I'm going to talk about context QA agent Ki for software testing our mission is engineering teams never shape a bug again in this demo video I would like to highlight what are the different activities in general normal software tester is performing from understanding the documentation or learning from the user Behavior creating the teste plan or tast strategy along with the risk
• 00:30 - 01:00 analysis and impact analysis and then choosing the test data on various devices and Performing the testing and then automating those testing process along with the negative test cases edge cases with proper modules so that it can be maintained very well and design it for scale and perform continuous testing and generate the test reports T should have the domain specific knowledge for the business at the same time tester
• 01:00 - 01:30 should also perform different types of testing such as performance testing Dynamic application security testing accessibility testing load testing and API testing but currently tester do not have that much time to perform all these testing and that is the problem context QA is solving by providing AI tester so the way context QA agent works is AI agents are divided into 20 different responsibilities first is under
• 01:30 - 02:00 understanding the document or understanding the live user sessions from that it generates the test scenarios with the different cases and negative cases understand the J user story and automate right away from the plain English with that any user can automate within a Sprint itself these test are very highly accurate test that performs continuous testing and requires no maintenance and after that it provides a very detailed root cause analysis along with a different types of testing report
• 02:00 - 02:30 so let me walk you through how so let's say we want to test it out Lululemon application we would put context Qs snippet on their website so that will start getting us a data about how real customers are using their application and from that it will build the knowledge graph and from that it finds find the coverage as well as the provides a priority like which are the most important test scenarios that any
• 02:30 - 03:00 user should perform and get the feedback faster regarding what are the issues and then this AI based on the knowledge graph is recommended the test cases and automating for them so let me show you the demo so in context Q There are multiple ways to train AI to understand about the application one is a documentation upload so user would be able to go here and upload the documentation and this document would be the user manual documentation that provides all this information
• 03:00 - 03:30 and uh it could be some detail information like this one uh explaining more about the product and navigations there is another way is a JavaScript snippet so that JavaScript snippet will provides the data user data AI recommends what test cases to automate then AI will generate all the test cases for you also user can create their own test cases and that will help in Sprint automation so which look like a cre askask under
• 03:30 - 04:00 project with login and they will generate the test case over here once test case is generated it will be in proper modules so this test case will be generated over here with all the parameterization in place with all the details and sub modules based on that user can go and perform the testing and once it performs the testing it will look like this where it will show which are the steps are passing where are the
• 04:00 - 04:30 errors and what is the real execution look like and based on that user can also generate Edge test cases as well as the negative test cases so in this case uh it will create multiple modules for the profile the the project and all other modules with the different different data points so this will help uh any testers to create multiple test scenarios along with that with this knowledge base you can import your user
• 04:30 - 05:00 stories into the context QA and it will show like this one where all the steps are created it will create the edge cases and negative teste cases over here if I want I can export the code of any of the test cases using context QA uh on top of that this testing will when it is execution is done it will provide the root cause analysis so it will look like this and it will also provide the explanation that what is the error and why the error in the first
• 05:00 - 05:30 place so with this feature user can either report the bug or they can fix the test cases so no maintenance is required and it will provide the detail analysis of the test executed along with the along with the videos and Trace information this will provide other types of testing reports which is performance testing security testing load testing and accessibility testing so those detailed report will look like
• 05:30 - 06:00 this one for uh accessibility testing as well as the uh security testing uh it will find all the vulnerabilities for you or you can also take a look at the performance testing and testing report something like this one so this is a full-fledged project module so in this case you will have a multiple data sets that you can test against and it will uh look uh something like this one where you will have rows and columns it also supports the mobile
• 06:00 - 06:30 application testing you can also organize the test case in context QA and here is a test plan where you can run the same test case in different browsers and uh you can also run this test against different environments so it is a very powerful uh Dynamic application that supports n to testing thank you