Technology

How Does Quality Assurance Work With AI?

September 23, 2022

QA plays a vital role in the software development and testing process. The main idea of software testing and quality assurance is to find ways to prevent bugs in the software development process. In this blog, we’ll let you know how AI is enabling automation in QA, making it more efficient and effective!

In today’s dynamic and fast-evolving digital marketplace, a tech company has significant competitive advantages when it can deliver quality products to the market faster than the competitors. On the other hand, the complexity leading to errors - of technical products has increased heavily. Thus, Software testing and Quality Assurance need to evolve for meeting the constantly changing demands of speed to the market and should also ensure great customer experiences.

The interesting fact is that in times of increased complexities, software testing and quality assurance services can always create a bottleneck to success. This is because a majority of quick testing is still adjusted towards manual testing and automated test scripts.  

Software testing and quality assurance - efficiency and effectiveness are the two metrics that determine the overall advancement of a test strategy. Artificial intelligence and machine learning in testing primarily focus on these two measures.

It is estimated that over 60% of the test cases in any industry test case portfolio are repetitive. AI identifies such redundant cases that are logically as well as physically similar and eliminates the duplicates that aren’t adding any value to the business and the removal doesn’t decrease the business risk coverage. AI is also capable of maximizing the detection of defects and risk coverage followed by minimizing the execution timings, costs, and the number of test cases by identifying the optimal sets. In addition to these, AI has self-healing automation properties i.e. it can heal the broken automated test cases and make test automation flexible to changes. 

In short, AI makes software testing and quality assurance smarter and promotes increased efficiency and effectiveness. 

Role of AI in Software testing and quality assurance

Listed below are all the important functions of AI in software testing and quality assurance:

  • Test Cases Building and Finding Bugs: Its rational skills allow AI to build better test cases by searching among all the possible ways. Using strong visualization and combination techniques, AI can build superior test cases covering all the scenarios. 
  • Predicts Customers’ Reaction to Release Features: AI’s high-speed analytical processing deduces deeper insights into customer reactions. This analytics helps to assess how a customer is likely to react to any new feature being added to the software.
  • Finds Developer’s Oddities and Past Bug Patterns: AI instantly recognizes the typical coding patterns of each developer. This helps to identify the common issues that the coders face and assist them intuitively to prevent such bugs or mistakes. Increasingly, Artificial Intelligence creates a lot of past bug patterns for the immediate detection of bugs.

Software testing and Quality assurance Automation for Better Business

Automation has existed in software testing and quality assurance for years. But, the benefits of automation were not very impactful for the business to notice.

In the first generation automation, the focus was UI-based and on regression. The idea was to build a framework that accelerated automation using commercial tools. The evolution of automation was to include data and keyword-driven and lately, business process-driven frameworks that would bring vital savings to clients. But these savings were limited to regression and didn’t bring many changes to the business.

The next wave of automation included the operational side of the business in the form of test data automation, middleware automation / API, etc. This generation of automation truly brought the value of automation into testing executions and other testing activities. The focus was shifted from UI-based automation to multi-tier automation, making a remarkable impact on time-to-market and efficiency. This wave of automation is now evolving more with an increased focus on continuous testing.

Bringing Artificial Intelligence into QA

AI-led intelligent automation combines the best approaches of automation with AI and helps in getting superior results. The focus is three-dimensional i.e. eliminating test coverage overlaps, optimizing efforts with improved predictable testing, and lastly, shifting from defect detection to defect prevention. Today, organizations have improved machine learning algorithms for processing huge volumes of data that results in better run-time decisions and pattern analysis.

For case, during a software up-gradation, machine learning algorithms can traverse the code to detect fundamental shifts in operation and link them to the obligations to identify test cases. This facilitates optimizing tests and blocks the making of judgments on hot spots that could lead to failures. 

AI overcoming the ‘Test-Automation Trap’ 

Software testing and quality assurance is a cost-intensive and time-consuming activity. A challenge with consecutive test automation in QA is that by the time test codes are completed, the requirements start to change and applications start to evolve with regards to business functionality and User-interface. This means that all the efforts invested in developing the test codes are wasted and you need to adapt the test automation needs respectively. 

Often, the software quality assurance service teams find themselves in this test-automation trap.

AI can be leveraged to solve this situation and speed up manual testing. For instance, test cases may be prioritized based on the already existing test cases and logs so that the QA team can focus on investigating malicious functions. Further, AI agents can also learn and develop themselves throughout the testing process they will develop after modifications in the code base, discovering different application functions without human interference.

Summing-up

Artificial intelligence is an indisputable reality of this era. The use of AI inputs many positive results, including a decrease in cost, risk-detection, increased profitability, and customer satisfaction. With AI and Intelligent automation solutions, businesses can re-energize their core and make every process more efficient and productive.

If you are looking for software quality assurance service providers, you are at the right place. Consagous technologies provide you with the absolute best software testing and quality assurance services. We have been delivering solutions to companies all over the world, for more than a decade.

Recommended Articles:

Manual vs. Automated vs. Integrated- What's Best for Modern App Testing?

How to Integrate AI & ML to Your Existing App?

Recent Posts
How To Optimize Your eCommerce Website?
Why Do Businesses Need Custom Web Application Development?
5 Powerful UI/UX hacks for top App Development in 2023
How To Migrate from Ms Dynamics CRM to Dynamics 365?
Cloud security has become an increasingly important field in IT
IoT App Development Trends Changing The World As We Know It
8 Top IoT Development Services Design Practices
How Can Breadcrumbs Lead To Best Web Design And Development?
How Are AI And IoT Development Services Driving The Future?
6 Website Building Steps For Every Web Design Company
10 Ways Of Energy Management With IoT Development Services
Entertainment App Development And Digital Transformation
Salesforce App Development For Business Customization
How Can AI App Development Services Fight Climate Change?
Top Web Design And Development Trend Predictions For 2022
7 Budgeting Mistakes To Avoid In LMS Development Services
How to Improve Virtual Care Experience Using Telemedicine?
Ultimate List Of 10 Mobile App Development Trends For 2022
What Does Metaverse Mean For Entertainment App Development?
Which Sectors Use AR / VR App Development For Navigation?
How Telehealth Improves Behavioral Outcomes In Children?
How To Integrate A Payment Gateway In Salesforce App?
Top 10 Uses Of Deep Learning in Various Industries in 2022
Your Guide To The Best OTT App Platforms For 2022
Why Use AR/VR App Development For Employee Safety Training?
How IoT Drives Future Of Healthcare Application Development?
How Is AI App Development Automating The Logistics Industry?
How To Optimize B2B Marketing Automation With Salesforce?
10 Unique Education Mobile App Development Ideas For 2022
Key Tools to Digital Transformation
Importance of Discovery Process for Mobile App Development
How‌ ‌To‌ ‌Monetize‌ ‌Your‌ ‌Healthcare‌ ‌Mobile‌ ‌Apps?‌ ‌
How LMS Mobile App Development Leads To Better Engagement?
Cost Parameters For Mobile App Development Like Clubhouse
Revamping the Customer Support Services: Salesforce Chatbots
5 Patterns In Entertainment & Media App Development In 2021
10 Things Modern L&D App Developers Should Be Doing
How Does AI App Development Deal With Anomaly Detection?
How can Augmented Reality Improve Customer’s Travel Experience?
Fundamental Practices To Ensure Successful Test Environment
How Salesforce Builds Seamless Marketing Campaigns?
Virtual Fitting Rooms: Augmented Reality Development Services
Salesforce Vs. NetSuite: A Brief Comparison For Right CRM
Mobile Apps and Digital Transformation- A Tech-Backed Trend
Customer Experience's Position in LMS Mobile App Development
Build Apps with the Right Social Media Development Company
Integrating EMR and EHR in Telemedicine App Development
How Does AI ML Go Hand in Hand with the Fintech Industry?
Tech Stack that Supports Augmented Reality App Development
How to Build an Effective Patient Dashboard: Telehealth Software Solutions
E-Learning App Development- Tools No One is Talking About
Know Your Salesforce Mobile App Better With This Quiz
7 Little Tricks to Achieve the Best Results in OTT App Development
What Industry Insiders Say About AI and ML?
Know It All About Smoke Testing
Use AI for the Perfect Business Growth
Salesforce Future- Trends to Stay Aware of
HIPAA Compliant Telemedicine App Platforms You Should Know
Trending E-Learning Tools that You Can’t Ignore!
Why AR/VR Will Transform the Future of Web Apps
Remember These Things During Salesforce Mobile Application Development
How IoT is Changing the Telemedicine Industry
Types of Educational Apps That You Can Launch in 2021!
Cloud App Vs. Web App- What are the Differences and Benefits?
Is Augmented Reality the Future of Social Media?
How Does AI Enhance DevOps in an Organization
How to Make an AI Voice Assistant App?
Everything You Need to Know About an LMS Software!
Trends in Robotic Process Automation for 2021!
Bots and AI: The Future of Software Testing and Quality Assurance!
Benefits of Artificial Intelligence in Medicine in 2021
How to Create a Dating App like Tinder and How Much Does it Cost?
Salesforce Platform: A Simple Automation Solution for Complex Businesses!
Best 5 Real-World Applications of Artificial Intelligence!
Why is it Necessary To Have an App For Your Healthcare Business?
How Does Quality Assurance Work With AI?
How to Create an Educational App: Features, Cost, and Business Models?
Salesforce Marketing Cloud - All You Need To Know!
Manual vs. Automated vs. Integrated- What's Best for Modern App Testing?
Biggest Telehealth Benefits for Doctors and Patients
How AI & ML are Transforming Social Media?
OTT App Development- Features, Costs & A Lot More!
E-Learning Trends and Predictions to Watch Out for 2021!
Reasons Why Outsourcing QA is a Great Idea!
How to Integrate AI & ML to Your Existing App?
Mistakes Digital Marketers Make with Salesforce Marketing Cloud
Create an Amazing Social Media App- A Complete Guide
Essential Features of LMS That you Can't Ignore!
Pressing Challenges in Healthcare for 2021
Salesforce or Zoho- Which CRM Suits your Business Better?
AI and Organizational Change - How This Technology is Changing it All
How is Salesforce Better for your Business?
Video Streaming Apps - Attributes and Development Costs
Impact of E-Learning Apps for Better Education
Telemedicine App Development To-Do List
Why You Can't Ignore QA in 2021?
Impact of AI on App Development & UX
Top E-Learning App Ideas for Aspiring Ed Tech Startups
On-Demand Music Streaming App- Features and Costs
Flutter Linux Alpha & the Google Canonical Connection