The quality of a software application in today’s fast-paced world is judged by its features and frequency of fresh upgrades. New-age apps in industries targeting Gen Z like online gaming, sports prediction, financial trading, and retail pose twin challenges of frequent upgrades and handling voluminous data. Software testing methodologies thus have to be equipped with next-gen tools to make testing proactive, quick, and highly accurate.
This is why agile methodologies, Artificial Intelligence (AI), and Machine Learning (ML) are a no-brainer for software testing today. Next generation Testing services have to work with the twin goals of speed and precision while handling huge workloads, making smarter Test Automation indispensable.
AFTA or Aspire’s Framework for Test Automation is a carefully crafted home-grown Test automation framework powered by Artificial Intelligence and Machine Learning (AI-ML) components with self-healing test scripts. Incorporated with Selenium, AFTA 4.0 aids organizations perform test automation right from the start of the development cycle, adding more power to Agile and DevOps driven environments. Combining the aspects of problem-solving, reasoning and machine learning based on repetitive patterns, AFTA 4.0 can help you find and repair your defects in record time.
How AFTA 4.0 is better than AFTA 3.0:
The latest version of AFTA has a couple of features that build on its predecessor in saving testing efforts as well as accuracy.
1. Automated Page Object Model (POM)
AFTA has a feature to automatically prompt for a pop-up during navigation and capture the elements from the UI. Locators are also automatically collected from the UI application on the pages it interacts with. Web scraping with Selenium allows and gathering of required data using Selenium Webdriver Browser automation. It crawls the targeted URL webpage and gathers data at scale. This collection of data locators improves upon the self-healing capabilities of AFTA.
2. Data faker:
Test data will be common for domain-specific applications. For instance, all banking applications will have an account number, name, IFSC code, etc. This concept is similar in medical or telecom. The data faker feature creates random test data which is common across domain-specific applications which need not be freshly captured. This can be a time and effort saver for testing domain-specific applications
Rapid testing using self-healing scripts aiding faster go-to-market with minimal errors
Seamless extension across varied user experience platforms and manages functional as well as cross-browser testing
Security testing with inherent penetration checks through active and spider scans that prevents vulnerability attacks and ensures data protection.
Performance testing involving testing response time, throughput thereby assessing basic Non-Functional parameters of the UXP by reusing the automation scripts
Self-healing Scripts to Identify Changes
Be it small or large release cycles, StabilizerJS can automatically heal test scripts to smooth execution
Auto Analysis of the Automation Results
Summarize test results into actionable and practical insights without increasing efforts
Reduced Script Maintenance
Enhance script maintenance with best practices adapted from different testing tools
Auto Update of Defects in Tracking Tool
Large repository to track errors across sprints and minimize errors with newer test cycles
Live Streaming of the Test Results
Receive real-time information of test results with intelligent analytics
Complex Report Analysis
Report smarter facts of your test execution results
Reduce test scripting time
Supports end-to-end testing
Provides real-time analytics
Facilitates Continuous Integration
Easily integrates with web, mobile, and cross-browser testing
Plug and play framework
Integrates to SOAP UI, Jmeter, OWASP ZAP
The AFTA 4.0 Advantage
Minimize defect leakage to less than 3%
Shorten Testing Feedback Cycle by 40%
Trim scripting time by 20%
Reduction in Test Efforts 50%
Reduction in Testing Costs 35%