Best Software Testing Tools for GitLab - Page 2

Harness is an AI-native software delivery platform that helps engineering teams achieve excellence by automating and streamlining the entire software delivery lifecycle. It enables continuous integration, continuous delivery, and GitOps for multi-cloud, multi-region deployments with increased speed and reliability. Harness simplifies infrastructure as code, database DevOps, and artifact management to improve collaboration and reduce errors. The platform offers AI-powered testing, incident response, chaos engineering, and feature management to enhance quality and resilience. Harness also provides cloud cost management, security testing orchestration, and developer insights to optimize performance and governance. Trusted by leading enterprises, Harness accelerates innovation while reducing manual effort and risk.

You can have the best developers in the world, but every test is making them slower. 80% of your software tests are pointless. The problem is you don't know which 80%. We find the right 20% using your data so that you can ship faster. We have shrink-wrapped predictive test selection, a machine learning-based approach being used at companies like Facebook so that it can be used by any company. We support multiple languages, test runners, and CI systems. Just bring Git to the table. Launchable uses machine learning to analyze your test failures and source code. It doesn't rely on code syntax analysis. This means it's trivial for Launchable to add support for almost any file-based programming language. It also means we can scale across teams and projects with different languages and tools. Out of the box, we currently support Python, Ruby, Java, JavaScript, Go, C, and C++, and we regularly add support for new languages.

Software developers typically build source code and run tests on their local machines. EngFlow Remote Execution distributes builds and tests across a cluster of machines and remotely caches the results to make them faster. Review your build and test results on various devices, be it your workstation, laptop — or one of your colleague’s. It’s a game-changer for collaborating remotely. Console output is verbose and convoluted. We split data into views to highlight what you’re looking for. Just in case, one view includes the full console output, streamed live as your builds and tests run. Build and test setups vary on machines. We provide the invocation details for each execution, such as platform, git branch and commit, and implicit and explicit flags set. This lets you reproduce a run, both for debugging and for recreating a prior release.

Continuous performance testing software to automate API and application load testing. Design code-less performance tests for complex applications. Script performance tests <as:code /> within automated pipelines for API testing. Design, maintain and run performance tests as code and analyze results within continuous integration pipelines using pre-packaged plugins for CI/CD tools and the NeoLoad API. Create test scripts quickly for large, complex applications using a graphical user interface and skip the complexity of hand coding new and updated tests. Define SLAs based on built-in monitoring metrics. Put pressure on the app and compare SLAs to server-level statistics to determine performance. Automate pass/fail triggers based on SLAs. Contributes to root cause analysis. Update test scripts faster with automatic test script updates. Update only the part of the test that’s changed and re-use the rest for easy test maintenance.

Today’s speed of change demands a new way of testing. Empower your teams to build smart tests that don’t break and can scale in the cloud. Rapidly create AI powered tests using the smart agent (Architect) or convert steps written in plain-text English into automation using natural language processing. Stop wasting time fixing broken tests. Functionize dynamically updates your tests using machine learning to keep up with UI changes. Quickly diagnose test failures with one-click SmartFix suggestions. Quickly diagnose failures with screenshot comparisons and and easy to understand errors. Interact with your test while it runs live on the VM using breakpoints with Live Debug. Update your tests using Smart Screenshots and apply one-click SmartFix suggestions. Eliminate test infrastructure. Run as many tests as often as needed across all major browsers at scale using Functionize’s Test Cloud.

Apache Yetus is a collection of libraries and tools that enable contribution and release processes for software projects. It provides a robust system for automatically checking new contributions against a variety of community accepted requirements, the means to document a well defined supported interface for downstream projects, and tooling to help release managers generate release documentation based on the information provided by community issue trackers and source repositories. Most of the software is written in shell and scripting languages. In honor of the shell code, the project takes its name. Yetus from a synonym of the Cymbium genus of gastropods. The Yetus Precommit build, patch, and CI suite allows projects to codify their patch acceptance criteria and then evaluate incoming contributions prior to review by a committer. Audience Annotations allows you to use Java Annotations to denote which parts of your Java library is publicly consumable.

Tricentis SeaLights is a next-generation quality intelligence platform built to help enterprise teams release high-quality software faster. It uses change impact analysis to block untested code from reaching production. SeaLights automatically selects and executes only the tests affected by code changes. This approach dramatically reduces testing cycles while improving confidence in release decisions. The platform supports all test types, including unit, regression, API, system, and end-to-end tests. It works with both automated and manual testing workflows. By providing clear visibility into test coverage, SeaLights helps teams improve software quality without slowing delivery.

Define a test execution consisting of a tool, test repository, and any arguments/parameters. Run any testing tools out of the box with Testkube-supplied workflows, or build your own custom workflow. Combine similar or dissimilar test execution workflows into suites. Create a searchable repository of ready-to-run test executions. Use proactive triggers to start test executions from CI/CD events, manually or on a schedule. Listen for Kubernetes infrastructure events, such as deployments, to automatically trigger test executions. Leverage Kubernetes native scalability to scale the number of concurrent test executions. Access advanced scaling capabilities to scale load tests from one to 1,000. Parallelize to scale functional tests to speed completion. Access logs and artifacts created by executing test tools in a centralized repository. Quickly find errors with log highlighting of failure-related keywords.

About Provar Provar pairs intuitive testing solutions, including Provar Test Automation and Provar Test Manager, with world-class service to help teams capitalize on their Salesforce investment. Its comprehensive suite of testing products is designed to improve release agility, drive down system defects and advance innovation, meeting people at every stage in their journey — from the individual manual tester to comprehensive QA teams with automated workflows.