There are many random perceptions about Artificial Intelligence. Not just perceptions; many people fear as well about losing their job due to artificial intelligence. To be specific, the testing professionals often remain in doubts about whether artificial intelligence will take over the traditional forms of testing jobs. However, the perceptions of such are mere doubts. Watch this Episode.
The method of software production is evolving gradually. How software products are being produced today are not the same as they were being produced some years back. This is an interesting technology era where we are sandwiched between conventional testing and advanced continuous testing.
We are now shifting from the traditional structure of a huge team having centralized QA to an entirely new structure. This new structure involves small, self-contained, and autonomous teams that ship software frequently makes use of Continuous Integration tools for automating and administer their developed environment for minimizing bottlenecks.
Software testing or QA is very crucial in all types of businesses. Mistakes can be sometimes very expensive to cope up with and can yield a huge loss. Hence, effective testing is necessary to check product quality before delivering or marketing. That being said, implementing the right and appropriate testing method is essential.
The art of software testing is extremely sophisticated and often misunderstood by those who do not engage in software testing. For such ‘non-testers’, these common misconceptions about software testing are often related to how software testing differs from other forms of testing.
Managing technical debt has been one of the most emerging problems for the current general of software testers, especially those organizations that develop and maintain large software systems. Similar to a bad debt in the financial industry, the term was devised by Ward Cunningham to draw an analogy with financial debt to indicate how incurring debt in the short run is beneficial but hurts badly in the long run if not repaid. Basically, the term was meant to remedy the practice of making non-optimal technical decisions.
Big Data and Analytics testing involve unstructured input data, data formats and types, processing and storage mechanisms as well as software and products that are completely new. This requires new abilities and skills, the building of new toolsets and instrumentations which are beyond the scope of traditional testing.
Mr Niranjan Limbachiya CEO, KiwiQA talked about KiwiQA journey, learning, personal challenges, company values, changes to the organisation, leaders admires, surprising things to know about him, future growth and finally about healthy work-life balance.
You can connect with him on Linkedin.
Manual software testing has been the cornerstone of software testing ever since software testing was set up. All test engineers and software QA staff, developers and programmers test their code manually, at least to some degree. Though it is a critical element of software testing, it is certainly not the be-all and end-all.
Why would it be advisable for you to test your web applications? In what capacity would it be a good idea for you to test your web applications? How to work out a reasonable start-up programming testing system? These are not single answer questions. A few organizations don’t fret over testing by any means, despite the fact that the essential target of any bit of programming is to give smooth running.
Choosing the right automation testing tool could be a tough job. At times, choosing the wrong tool could lead to results which are unexpected and unforeseen, besides there being significant technical difficulties in making the tool work in your environment. Situations like these will, at best, set back your test automation efforts and may also sabotage them for some time. This podcast provides some tips on selecting the right automation tool for your business.