AI & Machine Learning: The Future of Software Testing
Posted on 12 January, 2023 by Riya Sain
Our quality assurance team makes sure that your favorite apps are compatible with you.
You should credit these unnamed heroes whenever you set an alarm or check the weather conditions.
Customers don't hesitate to voice dissatisfaction via prominently visible review websites
App users demand perfection. Each deployment must be flawless. This is why QA teams are so dedicated.
A bug or error can quickly destroy an app. Tests for all scenarios and outcomes are becoming increasingly difficult.
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Based on the history of mobile app design it is reasonable that mobile apps will get more complex and require more testing.
Manual Testing in 1980s
Let's look back at how we got to this point. 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, when devices could do less and were more active in fewer situations.
Automation has seen a significant improvement in technology.
The 1990s to the 2010s: Coding Automation
Recent advancements in QA testing have made it possible to automate the review of test cases.
Now they have a tool for dealing with software problems.
What is the end of the battle against complexity?
The clock was ticking, but there was no clear winner.
The 2020s: No code test automation
Until recent times, the QA department was in dire straits. This forced QA departments to hire more programmers to test and create new features.
It was inevitable. Experts predicted an abstraction layer that would allow complex processes to be represented using interfaces.
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There are a few platforms that offer no-code solutions for a variety 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 an important breakthrough. It allows non-specialists complete difficult tasks leaving specialists free to focus on other areas.
2025?
The No-Code Revolution represents a significant step forward, I believe. Software testing will be the next step.
This idea is not new. This Software testing software, No Code Revolution, has been around for many years.
Intelligent testing can only be done in certain cases. This improves the speed and quality 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.
Humans still need Code, but it is difficult to understand. Humans make mistakes.
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Intelligent Testing automatically generates and maintains test cases and provides valuable benefits.
1 Learning by human input. Tests should be performed as humans.
2. Learn from real product usage data.
3 Training data: Data is required to build software patterns for machine learning programs.
Each code change must be compared to the three items above. Sofy is now moving on to the next step.
It's not yet. But, it's just a matter of time.
Software testing software only is one step. Software testing is just one.