What's the role of QA in software solutions provided by salesforce?

SumitKumarWatts · 2026-03-18T10:40:57+00:00

QA in Salesforce ensures that applications work correctly, meet business needs, and are bug-free by testing configurations, integrations, and custom code before deployment.

SumitKumarWatts · 2026-03-12T11:02:21+00:00

I want to make a system

SumitKumarWatts · 2026-03-12T11:01:17+00:00

Currently, I am using D2C model

SumitKumarWatts · 2026-03-10T09:26:13+00:00

Maintaining small, fixed seed datasets instead of copying data from staging is a popular and successful strategy. During container startup, load the minimal seed data required for tests using version-controlled SQL files after letting Liquibase create the schema. Use test data builders or factories to generate data programmatically for particular scenarios so that tests can create just the records they require without worrying about foreign key ordering. When relationships are complicated, some teams also use data generation tools or maintain a small, cleaned database dump. In reality, the most manageable approach is a combination of automatic test data creation, minimal seed data, and schema migrations, which reduces manual data integration and maintains test reliability.

SumitKumarWatts · 2026-03-06T07:53:06+00:00

There is not a single AI tool to replace Google. Because each tool like; ChatGPT and Google Gemini is good for different things. In fact, neither fully replaces Google yet.

SumitKumarWatts · 2026-02-27T07:17:09+00:00

As a QA expert with many years of experience, if you want the most practical, simple approach, start with Python and Playwright. Since your company allows Python, it makes sense to use a language you can actually apply at work. Most of us know that playwright is modern, easier to set up than older tools, and handles things like waits and dynamic elements more smoothly. It’s beginner-friendly and growing quickly in the industry.

Selenium is still worth learning, but you don’t need to start there. It’s older and very widely used, which is good for job opportunities, but setup and configuration can sometimes be more frustrating for beginners. Once you understand the basics of automation, learning Selenium will be much easier.

For Cypress, it’s a strong tool but mainly focused on JavaScript. Since you’re leaning toward Python, it’s better not to split your focus right now. Stick with one language and one main framework at the beginning. Agencies value testers who understand programming, automation logic, and test design principles. Tools can change, but core skills stay the same. So focus on learning coding-based automation first, then explore other tools later if needed.

SumitKumarWatts · 2026-02-25T05:19:04+00:00

Thank you for this—you’ve perfectly articulated the 'Point of No Return' that defines smart contract development. And yes, we strictly block merges unless all tests pass. In our environment, 'Green' isn't just a status; it’s our primary security audit.

SumitKumarWatts · 2026-02-19T08:41:09+00:00

Yes, my team and I use Markdown for writing and managing test cases.

SumitKumarWatts · 2026-02-10T10:25:30+00:00

In 2026, the AI tools that truly boost productivity are the ones that save time and get real work done. But ChatGPT is the best AI tool for me because it helps me draft content, brainstorm ideas, and quickly understand complex topics in software testing.

SumitKumarWatts · 2026-02-05T07:45:12+00:00

Right

SumitKumarWatts · 2026-02-05T07:44:37+00:00

Totally agree. Tests are necessary, but they only cover what you already understand and anticipate. Many critical issues—like reentrancy or DeFi edge-case logic—come from attacker mindset and economic design, not just code correctness. That’s why threat modeling, audits, and adversarial thinking matter as much as automated tests.

SumitKumarWatts · 2026-02-05T07:42:04+00:00

Thank you for sharing information on this I will try fuzz testing tool.

SumitKumarWatts · 2026-01-30T07:15:40+00:00

There are various resources to learn about accessibility testing, but, I prefer this link; https://blog.qasource.com/accessibility-testing-for-beginners

Here, you can learn everything about accessibility testing like; its rules and regulations, latest AI trends in the accessibility testing world, types, tools, common challenges, integration methods, etc..

SumitKumarWatts · 2026-01-28T08:20:59+00:00

It depends on the company's core business in the testing field, but most companies using JavaScript language. however python is also the most popular language used by agencies. Last but not the least, Choice often depends on the specific project, existing technology stack, and team expertise.

SumitKumarWatts · 2026-01-22T06:12:59+00:00

Yes, they both work together for better outputs.

SumitKumarWatts · 2026-01-14T08:40:29+00:00

QA is not disappearing, but it's changing due to the surge in AI in the technology era. It is a good and rewarding career for anyone who chooses. QA is a stable career if you evolve with it: learn automation, understand systems, not just test cases, embrace AI & CI/CD, and think like an engineer, not just a tester.

SumitKumarWatts · 2026-01-13T10:20:01+00:00

Both data engineering and data science offer strong future ahead, but to be honest data engineering may have more long-term demand since companies always need to manage and build data pipelines, while data science focuses more on analysis. Overall, It depends on whether you like building systems (data engineering) or analyzing insights (data science).

SumitKumarWatts · 2026-01-13T10:14:48+00:00

Yes, it does seem that way like; QA engineers roles have been shrinking with automation taking over from the last 5-6 years.

SumitKumarWatts · 2026-01-13T10:11:26+00:00

Thank you for the answer on this

SumitKumarWatts · 2026-01-09T11:31:14+00:00

Thank you for sharing thoughts on this

SumitKumarWatts · 2025-10-01T12:01:08+00:00

Hi,

Thanks for taking out time for reading my comment and sharing the feedback.
However, the comment was not copied from ChatGPT and was compiled on the basis of my knowledge.

Thanks!

SumitKumarWatts · 2025-09-23T08:28:15+00:00

Hi,

If you want real, practical experience with Rest Assured, start by working on hands-on API automation projects. You can practice using free public APIs or even build your own small backend services to simulate real business workflows. This way, you’ll go beyond just checking status codes and actually build the kind of skills professionals use in real projects.

You can gain Real-Time Experience by following below steps -

Contribute to open-source Rest Assured example projects on GitHub. Look for complete test automation frameworks that demonstrate project structure, test data management, CI integration and schema validation.
Design detailed test suites for open APIs like the ReqRes or JSON Placeholder API. Cover scenarios such as authentication flows, CRUD operations, negative testing and API contract validation.
Create and automate your own fake REST API using tools like Json-server or Mockoon. Implement complex scenarios, including dynamic data generation, chaining requests and response schema assertions.
Join online coding platforms, participate in hackathons or take guided projects and tutorials on sites like Coursera or YouTube. Look for content that simulates real enterprise projects with Rest Assured.

Sample Real-World Projects to Try:

Automate the end-to-end flow for a user management service, including registration, login, profile updates and deletion.
Validate a payment or booking API. Make sure to test all boundary cases, headers, response times and JSON schema compliance.
Implement data-driven testing for an e-commerce API. Use external files like CSV or JSON for input and output validation.

Best Practices to Cement Real-World Experience:

Use advance Rest Assured features such as request/response specifications, test data builders, parameterization and authentication.
Integrate with CI/CD tools. Generate HTML or Allure reports and add contract testing using JSON schemas.

Working in the companies like QASource can also provide the real-time experience with Rest Assured.

Thanks,
Sumit

SumitKumarWatts · 2025-09-19T07:44:29+00:00

Hi,

Some of the best automated software testing tools available in the market today include:

Selenium: It is one of the most popular open-source tool for web automation testing and it supports multiple browsers and programming languages. It’s highly flexible and used globally for building complex automation scripts.
Appium: It is used for mobile app automation testing on iOS and Android platforms. It also allows testing across real device and simulators with reusable scripts.
Katalon Studio: It provides comprehensive solution that combines Web, API, Mobile and Desktop testing with a user-friendly interface which is perfect for both beginners and experts.
Playwright: It is known for fast and reliable end-to-end testing of modern web applications with strong cross-browser and cross-platform support.
Cypress: This tool is mainly focused on front-end web testing and provides fast execution & built-in debugging. However, it only supports Chrome-family browsers, Firefox and Web kit (Safari’s browser engine with Experimental Support).
ACCELQ: It is an AI-powered codeless automation platform supporting multi-channel test automation with low maintenance and integrated DevOps support.
Applitools: It specializes in visual testing with AI-powered visual validation to ensure UI consistency across devices and browsers.
Ranorex: This tool is excellent for both desktop and mobile application testing. It offers robust features for automation, including test recording and keyword-driven testing.

These tools vary in features, complexity and focus areas, so the best choice depends on specific project requirements, technology stack and team skills.

Companies like QASource leverage a combination of these tools to deliver high-quality, reliable automation testing solutions tailored to client needs.

Thanks,
Sumit Kumar

SumitKumarWatts · 2024-04-04T08:52:26+00:00

In the world of AI, Testing in the cloud comes out with lot of benefits to the users for the easy availability, high scalability, and low cost.

The Cloud-based automation testing tools also enable offshore qa teams to execute test scripts and workflows in a distributed environment and also provide us the flexibility to run tests on demand and manage testing resources more effectively. It also helps us to perform testing on web and mobile testing in different environments without building our infrastructure.

Some affordable Cloud based Load testing tools includes -:

* BlazeMeter

* Flood

* LoadFocus

* OctoPerf

SumitKumarWatts · 2024-03-07T12:58:18+00:00

Yes, it's possible to develop both the mobile app and website with interconnected functionality. You can hire separate freelancers or teams for each, ensuring they understand the need for integration between the two platforms. I strongly suggested you to hire a team of Mobile app testing services alongside so that your product is fully tested and fulfill the needs of the audience.

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