QASource Blog

The customer experience begins when a product works. Functional testing is the way to ensure that happens. Since testing affects the overall SDLC, developers must implement functional testing as quickly and efficiently as possible. That means automation. Specifically, automated functional testing tools.

So which tools should you use, and how?

Every delay you incur on the way to market shrinks your potential audience. Being late, or even just being second, means someone else gets the first chance to impress your potential customers with a solution to their problem. You may have the superior product, but if the first application a customer tries is “good enough,” you may never get the chance to prove you can do things better.

Your automated testing plan is a guide to saving money, releasing on time and producing a high-quality product. It is your best opportunity to get a top-down view of the project that is about to roll out. Before you become submerged in the day-to-day of test cases and iteration flows, you have one last chance to identify how you can deliver against your business goals in the most efficient manner possible.

It is the perfect time to call on some expert advice.

The vastness of the internet rests on the myriad of individual web applications that make up its practically endless network. The ease of access a user experiences and expects belies the multipoint complexity of the underlying web server, application server and database.

Pitching a new product into this balance between complexity and simplicity requires a profound commitment to software testing.

There is nothing more exciting than your first experience of success. Watching your vision and hard work take shape and become a real product in the hands of real users can be like actualizing a dream. For many startups, those early days are about pulling together as a small, dedicated team with everyone pushing the limits of their skills and experience to produce innovation within the tightest of resource limits.

With success comes the promise of growth, and your dreams and goals become larger.

QASource recently presented the webinar, "How to Get Faster, More Reliable Automated Testing Results Using Continuous Integration" with its partner, froglogic.

In this webinar, Vivek Kumar, Automation Architect and Anand Ramakrishnan, QA Director at QASource, illustrate how to incorporate the Squish GUI tester into your application lifecycle using built-in CI integrations, how to pair Squish with the Jenkins Continuous Integration server to run your test suites automatically and how to enhance your automated testing workflow with a CI-based protocol.

For all our metrics, test plans, Agile approaches and strict industry standards, the end goal of every software development project is the same: happy customers. The user experience is our definition of success.

The designing, planning, testing and re-development that goes into an application is all there to make sure that the end user can solve their problem using our product. The challenge is to keep this goal in mind every step along the SDLC.

Automation is a testing technique that follows predefined rules. Artificial Intelligence is designed to simulate human behavior, intelligence and thinking. Now, what would happen if software engineers blend automation with artificial intelligence? Robotic process automation would come into play. What exactly is robotic process automation (RPA)?

Our expert AI and test automation engineers have put together all you need to know about RPA in order to achieve maximum ROI.

Automated testing is adapting to the ever-evolving trends in the software industry. The traditional  approach of having separate hardware and software for running automation suites, for example, is being replaced with a comprehensive test infrastructure on virtual machines. This evolution resolves one of the major challenges of setting up test infrastructure, and allows your team to focus on testing practices rather than spending precious time preparing and maintaining a test environment.

The greatest asset an expert QA tester possesses is their experience. Years of familiarity with specific domains gives them the ability to predict problems before they arise and implement solutions inexperienced minds would not pursue.

Artificial intelligence can capture that experience and learn from it. AI testing tools of the future will act with the experience of not just one individual but an entire team of expert QA testers.