Mobile and Web Testing Using SOFY
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Mobile and Web Testing using SOFY Intelligent Testing, Increased Productivity Introduction to SOFY Our Mission Help customers ship quality code faster Increase Developer and Tester productivity SOFY is a testing platform for Mobile Apps and Websites that augments manual testing and automates test cases with no coding, powered by patented ML algorithms. Scope of SOFY Client-side UI Browser/ Unit/ User Functional/ Security and Accessibility Device Integration Pen Testing API Testing Acceptance UI Testing Performance Testing Testing Testing Testing Testing Cost of testing & length of time Level of Automation SOFY Confidential Today’s Testing Methodology Manual Testing Automated Testing • Repeatable scenarios • Initial/Default testing method • Scale Testing • Minimal upfront investment Use cases • Regression Testing • Costly and time consuming • Requires extensive coding, high skillset • Lacks Consistency, Traceability • Needs use of multiple tools Challenges • Not scalable for cross device, OS testing • Lacks resiliency to UI changes, device types, • Requires training for domain knowledge dynamic content • Inefficiency between Development and Testing • Failure analysis across tools is tedious SOFY’s Approach to Testing Augmented Automated Testing Autonomous Manual Testing Exploratory Testing • Create/Edit automated • Instantly Configure your test with NOCODE • Navigate the entire test environment & devices application autonomously • Run at scale across • Find visual quality, • Test and Report bugs with devices with no code accessibility, crash and rich contextual data changes and report bugs security issues • Convert existing manual • Discover insights from • Get recommendations to automated tests manual Test coverage data on fixes to issues seamlessly A single tool for consistent user A NOCODE intelligent automation App validation against 100+ experience across manual and resilient to device form factors, UI different UI, UX and Accessibility automated Testing changes, dynamic content guidelines using ML models Enabling Scenarios for Remote Mobile App Testing Remote access to Real Devices Get rich diagnostic and contextual data with bugs to foster rich collaboration Use automation to run test cases without worrying about device availability Move seamlessly between manual and automated testing Multi-user App Testing scenarios while working remote Visibility to qualitative Metrics on Tester productivity Understand Device Coverage for better test planning SOFY Pricing FREE (14 Day) Trial SOFY Live SOFY Automate SOFY Enterprise $49/month $99/month Cost FREE Custom ($500/Year) ($1000/Year) # Concurrent Users 1 1 1 Custom Device Time 60 Minutes 100 Hours/Month 100 Hours/Month Custom # Users 1 5 5 Unlimited OS Android Android, IOS Android, IOS Android, IOS Augmented Manual Testing √ √ √ √ Automated Scenario Testing √ √ √ Autonomous Exploratory Testing √ √ SOFY Analytics √ √ √ √ SOFY Audits √ √ √ √ SOFY MAP √ √ √ √ SOFY Web Explore 100 page 3,000 10,000 Custom CI/CD Integration √ √ API Access √ √ Device hours overage $0.50c/Hour $0.75c/Hour Support Email 8-Hour SLA 8-Hour SLA 4-Hour SLA Why SOFY.AI Support for IOS and “No Code” Automation Android Our customers Audits and Analysis Augmented Manual with Actionable Testing insights APPENDIX Challenges in Testing • High cost for acquiring and maintaining mobile devices Platform • Takes too long to setup devices for testing • Test automation requires extensive coding and skilled coders • Lack of visibility into Tester performance (in manual testing) People • Data collection and reporting is very tedious • Lack of insights about device usage and Test coverage stats Process • Lack of reporting at the end of the release with KPIs Dimensions of Testing for Mobile Apps Screen Navigation Layout Orientation Performance Device Crash Resolution (CPU, Memory, Battery Load Time) Analytics API/Unit Database Network CDN Testing Testing Latency.