With the advent of agile and DevOps culture, we’re already embracing digital transformation. Organizations globally are looking for newer technologies and tools to innovate, enhance productivity and deliver faster. If we talk about testing itself — automation has taken us several leaps ahead; QA teams have solidified test efficiency and coverage even further. Gone are the days when automation testers had to learn coding to write test scripts.

MarketQuest (2021) predicts automation testing to grow at a Compound Annual Growth Rate (CAGR) of 9.8% for the next five years. Globally, organizations across banking, retail, automotive, healthcare, etc., amongst others will embark on automation. Picture Credit: Zeus.ai That brings us to the crux of our conversation — codeless test automation. What is it, and why do we need it?

As software organizations have to release or add new features in their software on a regular basis, proper and thorough testing of all the features on time becomes a real challenge. Automation becomes a viable option to overcome these challenges. But most of the automation tools usually take a lot of time and effort in test creation, test execution, and test maintenance which brings down the ROI.

It is a common protocol for companies to disable two-factor authentication in their QA and Test Automation processes, the reason being the effort and cost required to carry it out. At Testsigma we recognize the importance of application security in a modern world, where releases are accelerating and the frequency of data breaches is increasing.

A few years back, I gave my friend a keyword to search on Google and asked him to open the third link that pops up in the results. After five minutes of confusion, I realized we are not talking about the same website and even though the keyword was the same, the results appeared in a different order.

Evolution is perhaps the most common norm in the world of software development. Of course, automation is no stranger to this process of evolution. Globally businesses have evolved from the conventional Waterfall model to the modern Agile and DevOps, thereby embracing digital transformation. We’ve come quite far in terms of automation testing too.

Most software development organizations now follow agile scrum methodology. In most cases, they divide their work in sprints – a repeatable fixed time-box during which all tasks for a deliverable are planned and executed. After each sprint, the target is to complete as many planned tasks as possible and come up with a deliverable. A user story is the smallest unit of work in an agile framework. A user story is further divided into tasks to be taken up in a sprint.

2 Factor Authentication is a subset of the multi factor authentication service that we see mainly in FinTech Apps. Some financial technology apps ask the user to enter a password, and MPIN, a TPIN, and finally another OTP based authentication to confirm if he/she really wants to withdraw money from their schemes.

Mobiles have become a part and parcel of our lives. Smartphone penetration has seen an increase for the past decade with some countries such as the UK leading the race with as high as 82%. In a world with a 7.5 billion population, 4.3 billion people are projected (by 2023) to keep this small device in their pockets and use it daily. Although the pandemic slowed down this growth, Gartner projects the sales would be up 11% in 2021. Surprised by these stats?

It’s very common to have a handful of issues when deploying a software change to production because you are replacing a working version of your software or application with the one having the desired changes. Your testing team might have thoroughly tested the new version of the software, but still, the doubt of whether it will work as intended or not is always there.

The software will never be bug-free. But, it’s important to minimize the number of bugs such that the impact on functionality and user experience of an application is minimized. Bugs could come up due to different reasons, in this article, we will discuss them from the perspective of software errors. These are the errors that also need attention during the testing phase.