Agile Testing

This Podcast Published by QALead.
Mr.Damian Synadinos & Mr.Jonathon Wright key discussion during this podcast.
Communication is one of the most essential skills that need to be developed.
is education killing creativity?
Have that curiosity and enthusiasm and passion about what you do
100 test plans and more.........
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If you’ve been testing for any length of time, you know that the number of possible test cases is enormous if you try to test all possible combinations of inputs, configuration values, types of data, and so forth. It’s like the mythical monster, the many-headed Hydra, which would sprout two or more new heads for each head that was cut off. Two simple approaches to dealing with combinatorial explosions such as this are equivalence partitioning and boundary value analysis, but those techniques don’t check for interactions between factors. A reasonable, manageable way to test combinations is called pairwise testing, but to do it you’ll need a tool. 
In this One Key Idea session, Rex will demonstrate the use of a free tool, ACTS, built by the US NIST and available for download worldwide. We can’t promise to turn you into Hercules, but you will definitely walk away able to slay the combinatorial Hydra.

Agile testing has developed exponentially over the last two decades, with the role of QA continuously transforming. In this episode, Jonathon Wright with Kate Falanga, Associate Director of QA at Code & Theory, to discuss the evolution of the QA role in Agile.
 

Test automation is one of the best means to ensure the success of software. The evolution and advancements in technology have pay paved the way for the software complexities. With the failures of software in the mobile application, the reputation of the developing company is at stake. Test automation comes as an effective solution for avoiding the problems of software failures. Test automation assists in the detection of bugs at an early stage, saving cost and time and enhancing the productivity of the software.

The data environments are gradually growing to become bigger and bigger. According to the recent surveys, the compound annual data growth through the year 2020 will tend to be near about 50 percent per year. With the increasing amount of data, the data sources are also raising. And along with that, the need for businesses to unlock those data and use them for taking critical decisions is even raising.

The success of a website or application is dependent on its performance. This necessitates effective Performance Testing to ensure high performance. The speed, stability, and scalability are the key areas focused on performance testing. Measuring performance requires the use of certain metrics. With the help of the performance metrics, the effectiveness and the quality of performance can be easily calculated.

Software testing is not an easy job. Many complexities may arise during the process. The lack of the essential tool and appropriate manpower can also pose a problem in the software testing process. Especially the software vendors’ advertising tools and financial terms usually invest less in software testing resources.

DevOps testing strategy can be simplified emphasizing more on team effort. It always prioritizes about the best working shift that can be conclusive about the timing and frequency of testing practice by a developer in an automated fashion. Though such radical transformation might not be easy for some testers, things can be made to look smarter through proper strategy.

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.