Automated Testing Software

From a pricing perspective, this solution can feel expensive for smaller teams or organisations with limited testing budgets, especially when higher parallel execution capacity is needed. That said, when I weigh the device coverage, the infrastructure savings, and the testing capabilities it offers, the overall value still outweighs the cost challenges for our use case. Review collected by and hosted on G2.com.

BrowserStack addresses one of the biggest challenges for our organisation: testing across a wide range of real Android and iOS devices without having to maintain a physical device lab. With App Live, we can instantly access different devices and OS versions in just a few clicks, saving a significant amount of time and effort during test execution.

Another major advantage is being able to run both web and mobile automation suites on BrowserStack’s cloud infrastructure. We use Automation Pro and App Automate as part of our CI/CD pipeline, integrated with CircleCI. Whenever a new build is deployed to the staging environment, automated tests are triggered automatically. This allows us to perform thorough QA validation before every release, catch issues early, and reduce the number of bugs that reach production.

BrowserStack also provides detailed test reports, screenshots, videos, and error logs, which makes troubleshooting much easier. When defects are reported by the QA team, these insights help us pinpoint the root cause faster and collaborate effectively with developers to resolve issues.

The cloud-based platform has improved our overall productivity by removing the need for device setup, ongoing maintenance, and manual app installation. Integration with Firebase is especially helpful because it lets us access and install the required application builds directly, making the testing process more efficient.

A feature that adds significant value for us is the ability to test across multiple devices simultaneously. Comparing application behaviour side by side on Android and iOS devices helps us validate platform-specific functionality, spot inconsistencies quickly, and deliver a better user experience across all supported devices.

Overall, BrowserStack has helped us accelerate testing cycles, improve release quality, reduce infrastructure overhead, and increase confidence in every deployment. Review collected by and hosted on G2.com.

The main downside is the initial learning curve, which can feel a bit steep for complete beginners—especially when handling complex merge conflicts or working through command-line operations. Also, while the free tier is quite generous, some advanced enterprise-level features or higher storage limits for large binary files can get expensive as projects scale up significantly. That said, these drawbacks are relatively minor compared to the overall benefits. Review collected by and hosted on G2.com.

GitHub effectively addresses the challenges of version control and fragmented collaboration in software development. For me, it simplifies managing codebases for open-source contributions—such as my work with Sugar Labs and AOSSIE-Org—by keeping changes organized, traceable, and easy to access. It removes the hassle of manually tracking file versions, helps prevent code loss, and supports smooth collaboration with developers around the world. Overall, it has been a major help for my academic projects and technical skill development, making it easier to maintain a professional, version-controlled portfolio. Review collected by and hosted on G2.com.

Once collections start growing, keeping requests organized takes some effort and the desktop app can become noticeably heavier during long sessions. I also wish more collaboration and monitoring features were available on the free plan since many individual developers and students rely on it for learning and personal projects. Review collected by and hosted on G2.com.

Postman has become one of the first tools I open when building APIs. It helps me verify authentication flows, test request payloads, validate responses, and catch backend issues before they appear in the frontend application. Having everything stored in collections also makes regression testing much easier whenever an API changes. Review collected by and hosted on G2.com.

There is definitely a learning curve for new team members when it comes to organizing and cleaning up flags. Once a project scales, managing multiple flags can become cluttered and performance could degrade if you don't stay on top of deprecation and maintenance Review collected by and hosted on G2.com.

We primarily use it for continuous delivery and targeted rollouts. It allows us to test changes on small segments of real traffic before rolling them out widely. Rollbacks have become a simple toggle flip instead of a stressful, emergency fire drill Review collected by and hosted on G2.com.

My biggest frustration is that some new features are released as trials and later require an additional paid upgrade to continue using them. I would prefer that platform enhancements and new functionality be included with the existing subscription rather than becoming separate add-ons. Review collected by and hosted on G2.com.

Gearset has solved many of the challenges we used to face with Salesforce deployments. It provides reliable version control, full Git synchronization, merge conflict detection and resolution, and rollback capabilities that give us confidence during releases. Compared to the old Change Set deployment process, it’s a massive improvement in both reliability and efficiency.

One of the features I value most is the ability to compare and deploy changes between any Salesforce org or Git branch. That flexibility, combined with the visibility into deployments and source control, has streamlined our development process, reduced deployment risk, and made collaboration across the team much easier. Review collected by and hosted on G2.com.

Tuskr works well for day-to-day test management, but some advanced reporting and dashboard customization options feel limited compared to larger enterprise tools. For bigger projects with multiple teams, filtering and analytics could be more detailed. Also, a few UI workflows can be improved to reduce navigation time. Review collected by and hosted on G2.com.

Tuskr solved one major problem for our QA workflow: managing test cases, test execution, and defect tracking in an organized and centralized way. Before using Tuskr, a lot of testing activities were handled manually through spreadsheets, emails, and multiple tools, which made tracking difficult and time-consuming.

In our team, especially during regression and release testing cycles, it was challenging to maintain visibility on which test cases were completed, failed, blocked, or pending. Coordination between QA engineers, developers, and project stakeholders also required a lot of manual follow-up.

With Tuskr, we were able to organize test cases properly into suites, plan test runs efficiently, and monitor execution progress in real time. This gave better visibility into overall testing status and helped identify critical issues earlier in the release cycle.

The biggest benefit for me was improved productivity and reduced manual effort. Instead of spending time updating spreadsheets or preparing manual reports, I could focus more on actual testing and defect analysis. It also improved collaboration because everyone in the team had a clear understanding of testing progress, bug status, and release readiness. Review collected by and hosted on G2.com.

I don’t have any major dislikes about GitLab; it’s a good product overall. Review collected by and hosted on G2.com.

GitLab solves problems related to software development collaboration, code management, CI/CD automation, and deploying code to different stages more easily. For me, it addresses the difficulty of managing code across different teams and keeping everyone aligned. Overall, GitLab helps solve the major challenge of organizing development work in one place and making the process smoother from code changes through deployment, which benefits me by reducing confusion and improving coordination. Review collected by and hosted on G2.com.

I didn't face any issues using TestFirst, but it doesn't have Mac support and some of our applications require to be tested on MacOS, so it's a limitation. Review collected by and hosted on G2.com.

We use Jira-integrated TestFirst and link all our testing tasks with respective test cases. That helped to identify the areas lacking coverage because of the well-organized structure in TestFirst. Review collected by and hosted on G2.com.

While UiPath Agentic Automation is powerful, there is still a learning curve when moving from traditional RPA to agent-based automation. Designing and troubleshooting agent workflows requires a different mindset, and debugging can sometimes be challenging due to the dynamic nature of AI responses. The licensing cost may also be on the higher side for smaller teams. That said, most of these challenges are manageable with proper training and experience. Review collected by and hosted on G2.com.

UiPath Agentic Automation is helping us address business processes that require contextual understanding and dynamic decision-making, which were challenging to automate using traditional RPA. We are using it in document processing and workflow orchestration scenarios, where AI agents analyze information, make decisions, and trigger the appropriate actions. As a result, we have reduced manual intervention, improved processing speed, and achieved better operational efficiency while expanding automation coverage across complex business processes. Review collected by and hosted on G2.com.

Except some small issues, there's not much to complain about. Review collected by and hosted on G2.com.

We used to handle store submissions manually, which was time consuming and error prone. Appcircle automated that entire flow; build, sign, and publish and cutting down our release cycle significantly. The Re-sign Binary feature has also been a huge time saver, allowing us to redistribute the same build with different signing identities without rebuilding from scratch. The publish module in particular removed the need for anyone on the team to have direct access to developer portal credentials, which also improved our security posture. Review collected by and hosted on G2.com.

What I dislike about Redgate Flyway generally comes down to a few key areas that can slow development workflows and add unnecessary overhead.

First, the learning curve can feel quite steep, especially for teams that are new to migration-based database management. The documentation sometimes seems insufficient, which makes it harder to understand migrations and manage them effectively. As a result, developers can get frustrated and the ramp-up period can take longer than it should.

Another major drawback is the lack of certain features, particularly when important capabilities are limited to paid editions. This “paywall fatigue” comes from seeing functions that feel like they should be standard—such as undo migrations, dry runs, or more advanced reporting—locked behind higher-priced tiers. That can be difficult to justify, especially for smaller teams or projects working with tight budgets. Review collected by and hosted on G2.com.

In the fast-paced world of software development, managing database changes can often feel like navigating a minefield. Inconsistent environments, manual errors, and the dreaded "it works on my machine" syndrome are common headaches that can derail projects and lead to costly downtime. This is precisely where Redgate Flyway steps in, offering a robust solution to these pervasive problems and bringing significant benefits to our development and operations alike.

One of the primary problems Redgate Flyway tackles is the lack of a standardized, version-controlled approach to database changes. Traditionally, database updates often involved a series of ad-hoc scripts and manual interventions, making it incredibly difficult to track what changes were applied, when, and by whom. Flyway resolves this by treating database migrations as code, allowing us to define, version, and apply these changes systematically across all our environments. This means our database schema is always in sync with our application code, eliminating inconsistencies between development, testing, and production environments. The benefit here is clear: improved quality and reliability, as we can apply the same rigorous standards of version control, testing, and code review that we use for our application code to our database.

Another critical issue Flyway addresses is the potential for manual errors and the resulting unreliability of deployments. When database changes are handled manually, human error is almost inevitable, leading to broken deployments, data corruption, or unexpected behavior. Flyway automates this process, ensuring that changes are applied in the correct order and consistently. This automation not only reduces the risk of errors but also significantly speeds up the deployment process. For us, this translates into greater peace of mind, knowing that what we've tested in a staging environment will reliably be what goes into production. It minimizes the risk and impact of database failures by ensuring our migrations are tested, verified, and even reversible. Review collected by and hosted on G2.com.

There isn’t much to dislike. Previously, when we needed to update action parameter test data, we had to open the test case first and then make the changes. With the latest update, we can now update it directly from the list view as well, which is a helpful improvement they’ve added. Review collected by and hosted on G2.com.

Our client had a requirement to create a regression suite and run it in QA,UAT and Production after every deployment, and the deployment cycles were of one week. So manual test approach would have taken a lot of time to test it in only single environment that too with more resource allocation.

With Accelq, I’ve been able to run the scripts daily in the QA sandbox and biweekly in the UAT and Prod environments after deployment on the same day with single resource. Also, by integrating API steps into the scripts, test data creation and verification have become much faster. This increased execution speed and stability in all sandboxes and client's trust in us. Review collected by and hosted on G2.com.

Credits are specific to each project and must be moved to another project to be used there. The process for transferring credits wasn’t very clear. Review collected by and hosted on G2.com.

This tool is excellent for observing real user interactions, identifying pain points, and collecting feedback throughout development. It helps us determine how to improve usability, helps us validate design choices, and ensures the product works well for users. Review collected by and hosted on G2.com.

I don't have any dislikes; I would like to have an integrated staging release. I currently release twice with different pipelines and it is something I have to remember. Review collected by and hosted on G2.com.

We release apps for iOS and android from a push to a git branch; everything happens automatically and it sends us a slack message when it is done. Review collected by and hosted on G2.com.

As with anything Metadata api based in Salesforce the system has to work around the complexities of the SalesForce object architecture. The data dictionary does take us a long way to getting past this however. Review collected by and hosted on G2.com.

It gives us exact visibility into our customers Salesforce Orgs and helps us find the inflection points for our implementations. One example is an implementation that was hung up for 3 days on a problem, within 15 minutes of connecting sonar we worked past it. Its a lifesaver as is Brad and Kevin from their team. Review collected by and hosted on G2.com.

So far, I haven’t found anything to dislike, as it is a great improvement over our team's old processes. Review collected by and hosted on G2.com.

Test case repository management is better overall. The integration with Jira and MCP speeds up test case creation and helps me create new cases more quickly. Review collected by and hosted on G2.com.

For advanced testing scenarios, the platform could benefit from deeper customization and more granular control over test configurations. Improved documentation around complex use cases and clearer visibility into test execution logic would make it more powerful for engineering-heavy teams. Expanding integrations and reporting flexibility would further enhance its value. Review collected by and hosted on G2.com.

Qodex.ai addresses the challenge of manual, time-intensive software testing by introducing AI-assisted automation. It helps reduce testing overhead, improves consistency, and accelerates release cycles. For me, this means faster validation of features, quicker feedback during development, and the ability to focus more on core engineering tasks rather than repetitive test execution. Review collected by and hosted on G2.com.

One area where QA Wolf could continue to add value is by providing even more proactive reporting and insights as our automation coverage grows. The platform is already helpful and easy to use, but additional visibility into coverage trends and recommended next areas for automation would make it even stronger.

Overall, this is not a major concern, but more of an opportunity to further strengthen an already positive partnership. Review collected by and hosted on G2.com.

QA Wolf is helping us improve and scale our QA automation coverage without placing as much manual burden on our internal teams.

The biggest problem it helps solve is making regression testing more efficient and consistent across key workflows. Instead of relying heavily on manual testing, QA Wolf gives us better automated coverage and visibility into test results, which helps our squads identify issues earlier and have more confidence in release readiness.

It also benefits us through the combination of an easy-to-use platform and a responsive support team. Their UI makes it simple to review test runs and failures, while their staff helps us move quickly when we need support, clarification, or updates.

Overall, QA Wolf helps us strengthen our QA process, improve test coverage and support faster deployment. Review collected by and hosted on G2.com.

Honestly, there isn’t anything I dislike about Keploy so far.

What stands out to me is the clarity of vision, the developer-first approach, and the strong focus on solving real problems in testing. The culture feels supportive and growth-oriented, which makes it a great place to learn, contribute, and build meaningful impact. Review collected by and hosted on G2.com.

Keploy is solving the problem of slow, manual, and often neglected testing in modern development workflows. Writing unit and API tests takes time, and many teams either delay it or struggle to maintain good coverage. Keploy simplifies this by automatically generating tests and helping teams achieve high code coverage with minimal effort.

For me, this is beneficial because I get to work on a product that directly improves developer productivity. It helps me understand real-world developer pain points, learn more about testing practices, and contribute to a tool that creates tangible impact for engineering teams. Review collected by and hosted on G2.com.

It would be helpful if the documentation covered more information on the technical integration aspects, with clearer detail on which areas of integration as going to get impacted ( if any) due to conversion Review collected by and hosted on G2.com.

KTern.AI provided deep, custom code analysis and SOD compliance insights that helped us understand risks, remediation effort, and security gaps early in the assessment phase. Its business process profiling capability clearly showed where processes were used and how they were actually executed, which enabled more data-driven scope decisions. KTern.AI also identified relevant Fiori apps that could be activated to simplify the user experience and reduce the need for custom development. In addition, the project plan and timeline assessment reports helped us validate system complexity and objectively evaluate SI effort estimates. Overall, KTern.AI improved the accuracy of our assessment, reduced uncertainty, and supported confident planning and informed decision-making with the management team at the start of our transformation initiatives. Review collected by and hosted on G2.com.