Industry Insights

In the world of IT startups, innovative ideas are constantly being generated and entrepreneurs are eager to transform these ideas into a well-established startups. However, many startups fail to succeed due to various reasons, and one of the most common and crucial reasons is the inability to deliver a high-quality product to customers. For IT startups, it is essential to understand the quality demands of their end-users, as the product's success lies in their customers' hands. Startups should strive to provide a product with a good quality user experience to differentiate themselves from their competitors. A visionary product owner must recognize that deploying a dedicated QA team to test the product before launch, and continuous QA testing thereafter, is essential to become a well-established venture.

Agile testing is your future. It will save you time. It will save you money. It will save you resources. The gold standard of QA methodologies, Agile testing and development are designed to evolve with the product. This process is built to match the pace of today’s software development market that demands higher testing speeds and higher quality products that deliver better experiences for customers.

Imagine that you have just created an extension app that runs in the background. Confident in its functionality after beta testing, you decide to release it for public use. A few months later, you start receiving complaints about how your extension app slows down other computer applications. Was there a problem with the extension app? No. But when it comes to overall performance, there’s clearly much to be desired.

With recent trends in automated and digitized data acquisition, and deep learning algorithms, AI and ML applications are growing rapidly in fields that were initially to be solely managed by human expertise. By introducing AI and ML into automated testing tools, QA teams are able to address many of the conventional problems of automated software testing. According to a report by Digital Transformation Trends, 80% of businesses admitted that AI and ML improved their productivity, brand value, and ROI. And now, these two components have become an integral part of the software testing life cycle.

Before releasing any software, testers need to look at various factors like real data, real interface, real user interactions and overall functionality to ensure a flawless user-experience execution once it goes live. This is where SAP day-in-the-life testing comes into play.

Digital payment gateway testing is done to ensure that a system provides a good customer experience during online purchases and transactions. The purpose of this testing is to ensure the performance, security, and reliability of a payment gateway by encrypting and securing the payment details between the user and merchant.

Salesforce is a global leader and expert in providing customer relationship management solutions that bring companies and customers together. Its cloud services like sales, service, and community have the potential to adapt to any business model. Their real value lies in the processes, workflows, rules, reports, and data extraction.

When it comes to testing performance, clients always ask the following question to measure the KPI: How Has The Application Behaved During Peak Hours? While performance and stress testing solve many software challenges, chaos testing is becoming the need of the hour. Also known as “Chaos Monkey”, or the Simian Army, this type of testing was first developed by Netflix for testing the resilience of their IT infrastructure. It tests the production environment so that the frequency of cyberattacks, outages, and software failures can be greatly reduced or completely nullified.

A chatbot powered by an artificial intelligence (AI) program acts as a conversation agent for your business. It simulates the chat or conversation with a user in natural language via mobile applications, messengers, or websites.