QASource Blog

Mobile adoption trends change, just like the seasons in a year. The comparison statistics in this expert series will be helpful in devising the device-testing matrix for planning the release of their products across the globe.

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.

These days, we can’t go more than a month without hearing about a new high-profile cyber attack. Hackers are growing more malicious by the day, and it seems that almost no company—no matter how big—is safe from their tactics. Huge advancements have been made in ensuring the security of products in sensitive domains, like the healthcare, financial, and legal spaces, but cybersecurity companies need to be more vigilant than ever to fend off new, even more advanced attacks.

Blockchain seems to be the driving technology for the next generation of the Internet. As techies and experts contemplate the potential ramifications both good and bad, let's talk more about the test automation part of it.

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.

Big data is used by various applications for analysis, predictions, and decision-making. Enormous growth, efficiency, and performance of big data applications can make a huge impact in our daily lives.

Query languages (QLs) are designed to query data sources for fetching and performing various operations on stored data. Basically, a query is a request for information from a database, and the language is the way it is. Nowadays, there is a dramatic shift toward open source QLs as they enable more enhancements and reusability. GraphQL, for example, was developed by Facebook back in 2012 and is now an open-sourced QL. With the multitude of options, how can software companies identify the query language best suited for their software?

Today, technology is helping to close the physical gaps between distributed teams. Thanks to the cloud, people are able to access the same information from wherever they are, across all of their devices. Edits and updates are synced automatically, and everyone sees the same record of truth, resulting in a greater degree of insight and transparency.

With this edition of the ShieldCast expert series, we aim to educate end users about the potential security risks of using smartwatches and what it takes for security testing and securing such devices.