We make sure your favorite apps work with you.
These unnamed heroes should be credited whenever you set an alarm, or check the weather conditions.
Customers aren't afraid to express their dissatisfaction on prominently displayed review sites
App users expect perfection. Every deployment should be flawless. That is why QA teams work so hard.
An app can be quickly destroyed by a bug or an error. It is becoming more difficult to test for all outcomes and scenarios.
Based upon the history of mobile app design, it is likely that mobile apps will become more complicated and need more testing.
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Manual Testing in the 1980s
Let's take a look at how we got here. Up until comparatively recently -- the "wow-I-guess-that-really-was-a-long-time-ago-now 1980s" -- software QA teams relied heavily on manually testing their devices to ensure products pushed out to market performed properly.
Manual programming was possible in simpler times.
Automation has seen significant technological improvements.
From the 1990s to the 2010s: Coding Automation
Modern QA testing techniques have made it possible for automated review of test cases.
They now have a tool to deal with software issues.
Where is the end to the fight against complexity?
Although the clock was ticking away, there was no clear winner.
2020s: No code automation
Until recently, the QA department had been in desperate straits. This led to QA departments hiring more programmers to test new features and create them.
It was inevitable. Experts predicted that an abstraction layer would be created to allow complex processes to easily be represented via interfaces.
A few platforms offer no-code solutions that can be used in a wide range of industries. One of the more visible examples of the No-Code Revolution is the popularity of truly what-you-see-is-what-you-get website editors (think Squarespace or Wix), while in the far less visible area of software testing, Sofy, the company I founded, is a unique platform that provides no-code testing for mobile apps.
This is a significant breakthrough. This allows non-specialists to complete difficult tasks, leaving specialists free for other areas.
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I think the No-Code Revolution is a significant step in the right direction. Software testing is the next step.
This idea doesn't seem new. No Code Revolution Software testing software has been around for years.
Intelligent testing is only possible in certain situations. This increases the speed and quality of software releases.
Deep learning-based algorithms are used in artificial intelligence/machine learning to access data and extract patterns to improve decision making.
It's not in days, but in hours.
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Code is still needed by humans, although it can be difficult to understand. Humans make mistakes.
Intelligent testing automatically generates and maintains test cases and offers valuable benefits.
1 Learning through human input.
2 Get real product usage data.
3 Training data
Every code change must be compared with the three items previously mentioned. Sofy will now move on to the next step.
But it's not yet. It's only a matter of time.
Software testing software is only one step. Software-testing is only one.