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Testsigma

Testsigma automates testing using AI, low-code tests, and integrates with tools like JIRA and Jenkins for faster releases.
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Testsigma

What is Testsigma?

Testsigma is an artificial intelligence-driven test automation tool that allows the creation of tests in plain English using a low-code approach. The tool is renowned for its stability, reliability, and its ability to significantly reduce test flakiness. Testsigma supports various types of testing such as web, mobile app, and API testing, offering features like regression and visual testing. It leverages natural language processing for test creation, an 'auto-healing' mechanism for tests, and an AI-powered Suggestions Engine for efficient debugging and predictive defect identification. The platform provides integrations with various tools like JIRA, Jenkins, Azure DevOps, GitHub, and Bamboo for continuous testing, ultimately accelerating release cycles and reducing time-to-market. Additionally, Testsigma offers advanced features like visual testing and an AI Suggestion Engine to enhance the testing process .

Who created Testsigma?

Testsigma was created by Sampath Maka, the Head of Quality Engineering at Testsigma, as indicated in the company details. The platform was launched on May 14, 2021, offering a range of features including AI-powered test automation, natural language processing for test creation, auto-healing tests, and predictive defect identification. Testsigma aims to simplify test automation through a low-code approach and plain English scripting, supporting various types of application testing and providing integrations with popular tools like JIRA and Jenkins.

What is Testsigma used for?

  • Regression testing
  • API testing
  • Mobile app testing
  • Data-driven testing
  • Visual testing
  • Web application testing
  • Continuous testing
  • Test development
  • Test execution
  • Test data management
  • Test development capability
  • Test execution capability

Who is Testsigma for?

  • Quality assurance professionals
  • Software testers
  • Test Engineers
  • Test Automation Engineers
  • Quality Assurance Specialists
  • QA Managers

How to use Testsigma?

To use Testsigma, follow these steps:

  1. Test Creation: Write tests in plain English using the low-code approach supported by Testsigma. Utilize natural language processing for test authoring and take advantage of the 'auto-healing' mechanism to maintain test integrity.

  2. AI-driven Automation: Leverage artificial intelligence in test creation, issue identification, and debugging. Testsigma's AI Suggestions Engine helps identify root causes for test failures.

  3. Authoring with Natural Language Processing: Create tests using Natural Language Processing, simplifying the scripting process with pre-built statements or custom add-ons.

  4. Auto-Healing: Benefit from the 'auto-healing' feature to adjust test elements when application changes occur, ensuring test robustness and reliability.

  5. Predictive Defect Identification: Utilize Testsigma's predictive defect identification to anticipate affected areas post-test failures, enhancing testing efficiency.

  6. Cloud and Local Testing: Run tests seamlessly on the cloud or locally to accommodate diverse device environments and execution preferences.

  7. Continuous Testing: Integrate Testsigma with CI/CD platforms for continuous testing, facilitating rapid application updates and code changes.

  8. Test Management: Manage the complete testing process with Testsigma, including test authoring, execution, reporting, analytics, and test data management.

  9. Advanced Features: Explore advanced features like Visual Testing, AI Suggestion Engine, and seamless tech stack integration offered by Testsigma.

  10. Regression and Visual Testing: Conduct regression and visual testing with Testsigma to maintain application functionality and consistency across versions.

By following these steps, you can effectively use Testsigma for AI-driven test automation, test creation using Natural Language Processing, and seamless integration with CI/CD platforms, ensuring efficient and reliable testing processes.

Pros
  • Low-code approach
  • Plain English tests
  • Reduces test flakiness
  • Supports web application testing
  • Supports mobile app testing
  • Supports API testing
  • Supports regression testing
  • Supports visual testing
  • Test data management
  • Test development capability
Cons
  • Only test automation tool
  • Lacks performance testing
  • Limited flexibility for scripting
  • No desktop application testing
  • Could lead to over-reliance
  • Plain English scripting might not be detailed enough

Testsigma FAQs

What is Testsigma?
Testsigma is an artificial intelligence-driven test automation tool that facilitates the creation of tests in plain English using a low-code approach. The tool is known for its stability and reliability, with claims of significantly reducing test flakiness. It supports a broad spectrum of application testing including web, mobile app, and API. The tool offers various use case support, such as regression and visual testing, and is geared towards test development, execution, reporting, analytics, and test data management. Testsigma leverages natural language processing for test authoring and features an 'auto-healing' mechanism for tests. It is also equipped with an AI-powered Suggestions Engine for better debug capabilities and predictive defect identification for anticipating potentially affected areas within the application following failed tests.
How does Testsigma use AI to drive test automation?
Testsigma utilizes artificial intelligence in three primary areas: test creation, issue identification, and debug facilitation. During test creation, natural language processing allows the composition of tests in plain English, boosting intuition and understanding. The tool uses smart locators to identify elements within applications, even when changes are made, ensuring accurate and consistent tests. When tests fail, the AI-powered Suggestions Engine comes into play, scrutinizing the failure and suggesting potential root causes for fastest recovery.
Can Testsigma author tests using Natural Language Processing?
Yes, Testsigma enables the authoring of tests using Natural Language Processing. This capability allows for test creation in plain English, making the scripting process more intuitive and understandable, especially with pre-built statements or by creating custom add-ons.
What is the 'auto-healing' feature of Testsigma?
The 'auto-healing' feature in Testsigma is designed to adjust the mapping of application elements as they change, keeping your tests robust and reliable. If changes in the application properties cause issues in your tests, Testsigma's auto-healing capabilities will kick in to identify the elements with alternative locators and remap them accordingly.
How does Testsigma's AI-based Suggestions Engine work?
The AI-based Suggestions Engine of Testsigma springs into action when a test fails. Leveraging AI, the engine examines the failure, determines potential root causes, and provides the most probable reasons for the failure, thus aiding rapid and efficient fault resolution.
Can Testsigma predict defects in my application?
Yes, Testsigma is capable of predictive defect identification, allowing it to anticipate areas of your application that may be affected due to the failed tests. This helps you focus on specific areas that need review or modification, thus ensuring comprehensive coverage and reducing the chance of undiscovered issues.
Can I run tests on Testsigma both on the cloud and locally?
Yes, Testsigma provides the option to run tests both on the cloud and locally. This flexibility enables testing across a wide range of device environments, catering to various test execution requirements according to your project needs.
Does Testsigma support continuous testing?
Yes, Testsigma supports continuous testing, integrating seamlessly with continuous integration and continuous delivery (CI/CD) platforms. It encourages consistent testing and frequent integration of code changes to ensure rapid delivery of application updates.

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Testsigma reviews

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Sara Dimitrov
Sara Dimitrov February 25, 2025

What do you like most about using Testsigma?

The integration with popular tools like Jenkins and Azure DevOps is seamless, which is a huge time-saver.

What do you dislike most about using Testsigma?

Occasionally, the platform can slow down when executing a large number of tests.

What problems does Testsigma help you solve, and how does this benefit you?

It allows us to maintain high-quality standards while minimizing the time spent on manual testing.

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Henrik Lund
Henrik Lund March 8, 2025

What do you like most about using Testsigma?

The ability to create tests in plain English is fantastic, making it accessible for everyone.

What do you dislike most about using Testsigma?

The setup process could be simplified to help new users get started quicker.

What problems does Testsigma help you solve, and how does this benefit you?

It allows us to maintain a high standard of quality in our software while reducing the manual effort required for testing.

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Yusuf Amin
Yusuf Amin January 26, 2025

What do you like most about using Testsigma?

The integration with JIRA is seamless, which makes tracking issues much easier.

What do you dislike most about using Testsigma?

There are times when the tool can be slow, especially during peak usage.

What problems does Testsigma help you solve, and how does this benefit you?

It improves our testing efficiency and helps us deliver features faster.

How would you rate Testsigma?
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