Software testing is a continuously evolving sphere. Often, testers only have hours to test a software and as a result, QA engineers tend to opt for automation and parallelization. Enter Docker containers. Dockers have revamped the way testing is integrated into the CI/CD pipeline: the multi-container testing approach eliminates time and resource-based bottlenecks.
QASource recently presented the webinar, "Get The Best Test Automation ROI Through Continuous Testing With SoapUI Pro And TestComplete" with its partner, SmartBear.
In this webinar, Anand Ramakrishnan, QA Director at QASource, highlights the challenges with test automation prior to using SoapUI Pro & TestComplete, how these tools helped overcome these challenges, best practices and value added features with these test automation tools, and who should consider using SoapUI Pro and TestComplete.
Teams exist in every organization. They discuss tasks that need to be completed, who will be given ownership of each task, and then they are off and running. Cross-team collaboration brings members with different areas of expertise, knowledge and experience together, which can improve quality, speed and the company's overall productivity. Cross-team collaboration is a much-needed skill that is, unfortunately, difficult to acquire. So, how can companies build effective cross-functional teams?
Collaboration software are crucial in today's interconnected and globalized society. In order to make their software even more beneficial to users, companies are allowing third-party applications to integrate with their collaboration software. Though this is very useful, there are common challenges that can arise when integrating third party apps.
Check out QASource’s latest infographic below to read our expert engineer's tips on how to solve the 3 most common obstacles companies face when integrating third-party applications with their collaboration software:
The internet today is like Pandora's Box. The question here is, "How did the Internet become so powerful?" The answer is with data, and data about data. When you search the internet for something, you are searching data about data. Those searches provide us with useful information only because someone has preserved this information somewhere over the internet, and as this technology advanced, the demand for Big data applications was created.
Software development has been in existence for quite a long time now. However, the need for strong QA to complement the advancements of development has risen. With the increasing demand for high-quality products, it has become imperative for software companies to have strong QA in order to achieve development excellence.
Cloud computing has become a synonym for potential opportunities and capabilities in today's digital world. Almost every product we use is connected to the cloud in some way or another — unless it’s kept in local storage. The cloud industry is maturing at a rapid pace, and the technology has made its way across enterprises of all shapes and sizes. Cloud computing is carried using a special API: Cloud API. Our expert engineers have shared their insights into this growing technology and what to consider when testing open APIs.
Humans make mistakes – it’s a natural phenomenon. However, errors can be costly for highly complex and stringent operations often seen in the legal domain. Though manual efforts are beneficial and provide insight into the demands, impressions and reactions of human beings, organizations often make mistakes because they are highly dependent on manual procedures. Companies that choose to implement a workflow automation strategy are given the opportunity to resolve these issues and improve their overall workflow process.
The success of an organization is driven by many factors-such as how efficiently your organization is managing its quality of deliverables. In today's digital age, your focus should be on automating the internal processes wherever possible. For this, you may consider the two primary models of automating these internal processes: centralization and decentralization. These models structure the quality management. Let’s discuss the benefits and pitfalls of each approach.