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Shazam is a very popular audio recognition app. It is installed on 100M+ Android devices and it’s growing rapidly. In this talk, we would like to address how we have made our releases schedule faster, more predictable and with more features by using BDD and automation testing.
Shazam is a very popular audio recognition app. It is installed on 100M+ Android devices and it’s growing rapidly. In this talk, we would like to address how we have made our releases schedule faster, more predictable and with more features by using BDD and automation testing.
Pentagon space is a training establishment in Bangalore. We give Software Testing Course and we train our students with alternate points of view with 620 Hours of concentrated preparing, Career Talks by industry experts,5 Realtime projects, advantageous gathering timings,special bootcamp,periodic bogus and appraisals, Get ready by ensured coaches, Guaranteed 100+ drive open doors, Interview unequivocal preparing meetings, World class framework, One to one tutoring meeting.https://pentagonspace.in/software-testing
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Software testing is a crucial part of the app development life cycle. There is no way an application can be rolled out to the end-users without thoroughly testing all of its features and functionalities. As important as QA testing is, it is also undeniable that it is extremely repetitive and time-consuming. Manual testing procedures require teams to develop multiple test cases to test every minute feature of the application.
QA Automation Testing – Driving New Age Businesses towards Excellence
(c) Nathan Price 2014.[#Beginning of Shooting Data Section].Nikon D50.23/06/2014 19:20:05.40.Time Zone and Date:.Jpeg Fine (8-bit).Image Size: L (3008 x 2000).Lens: 17-50mm f/2.8G.Focal Length: 32mm.Exposure Mode: Manual.Metering: Matrix.Shutter Speed: 1/15s.Aperture: f/2.8.Exposure Comp.: 0EV.Exposure Tuning:.ISO Sensitivity: ISO 200.Optimize Image: Vivid.White Balance: Auto, 0.Focus Mode: AF-A.AF-Area Mode: Dynamic.AF Fine Tune:.VR:.Long Exposure NR: OFF.Color Mode: Mode IIIa (sRGB).Color Space: sRGB.Tone Comp.: Auto.Hue Adjustment: 0° .Saturation: Enhanced.Sharpening: Auto.Active D-Lighting:.Vignette Control:.Auto Distortion Control:.Picture Control:.Base:.Quick Adjust:.Sharpening:.Contrast:.Brightness:.Saturation:.Hue:.Filter Effects:.Toning:.Map Datum:.Dust Removal:.[#End of Shooting Data Section].
(c) Nathan Price 2014.[#Beginning of Shooting Data Section].Nikon D50.23/06/2014 19:09:24.50.Time Zone and Date:.Jpeg Fine (8-bit).Image Size: L (3008 x 2000).Lens: 17-50mm f/2.8G.Focal Length: 17mm.Exposure Mode: Manual.Metering: Matrix.Shutter Speed: 1/15s.Aperture: f/2.8.Exposure Comp.: 0EV.Exposure Tuning:.ISO Sensitivity: ISO 200.Optimize Image: Vivid.White Balance: Auto, 0.Focus Mode: AF-A.AF-Area Mode: Dynamic.AF Fine Tune:.VR:.Long Exposure NR: OFF.Color Mode: Mode IIIa (sRGB).Color Space: sRGB.Tone Comp.: Auto.Hue Adjustment: 0° .Saturation: Enhanced.Sharpening: Auto.Active D-Lighting:.Vignette Control:.Auto Distortion Control:.Picture Control:.Base:.Quick Adjust:.Sharpening:.Contrast:.Brightness:.Saturation:.Hue:.Filter Effects:.Toning:.Map Datum:.Dust Removal:.[#End of Shooting Data Section].
(c) Nathan Price 2014.[#Beginning of Shooting Data Section].Nikon D50.23/06/2014 20:36:08.40.Time Zone and Date:.Jpeg Fine (8-bit).Image Size: L (3008 x 2000).Lens: 17-50mm f/2.8G.Focal Length: 32mm.Exposure Mode: Manual.Metering: Matrix.Shutter Speed: 1/15s.Aperture: f/2.8.Exposure Comp.: 0EV.Exposure Tuning:.ISO Sensitivity: ISO 200.Optimize Image: Vivid.White Balance: Auto, 0.Focus Mode: AF-A.AF-Area Mode: Dynamic.AF Fine Tune:.VR:.Long Exposure NR: OFF.Color Mode: Mode IIIa (sRGB).Color Space: sRGB.Tone Comp.: Auto.Hue Adjustment: 0° .Saturation: Enhanced.Sharpening: Auto.Active D-Lighting:.Vignette Control:.Auto Distortion Control:.Picture Control:.Base:.Quick Adjust:.Sharpening:.Contrast:.Brightness:.Saturation:.Hue:.Filter Effects:.Toning:.Map Datum:.Dust Removal:.[#End of Shooting Data Section].
(c) Nathan Price 2014.[#Beginning of Shooting Data Section].Nikon D50.23/06/2014 19:19:10.80.Time Zone and Date:.Jpeg Fine (8-bit).Image Size: L (3008 x 2000).Lens: 17-50mm f/2.8G.Focal Length: 32mm.Exposure Mode: Manual.Metering: Matrix.Shutter Speed: 1/15s.Aperture: f/2.8.Exposure Comp.: 0EV.Exposure Tuning:.ISO Sensitivity: ISO 200.Optimize Image: Vivid.White Balance: Auto, 0.Focus Mode: AF-A.AF-Area Mode: Dynamic.AF Fine Tune:.VR:.Long Exposure NR: OFF.Color Mode: Mode IIIa (sRGB).Color Space: sRGB.Tone Comp.: Auto.Hue Adjustment: 0° .Saturation: Enhanced.Sharpening: Auto.Active D-Lighting:.Vignette Control:.Auto Distortion Control:.Picture Control:.Base:.Quick Adjust:.Sharpening:.Contrast:.Brightness:.Saturation:.Hue:.Filter Effects:.Toning:.Map Datum:.Dust Removal:.[#End of Shooting Data Section].
Visit www.headspin.io/ for Automation test app. It is fundamentally improves the productivity of testing by giving start to finish test mechanization administrations. This guarantees higher test inclusion to accomplish better application quality with diminished dangers. For more information, watch this video.
A snapshot of new software testing tendencies
Automation and AI-based approaches are often used in non-functional testing to identify and prioritize application components that may be more vulnerable to performance or security concerns. While cloud-based testing offers more scalability and flexibility, shift-left testing tries to identify issues early in the development process. Trends in automation testing are assisting in increasing the process's effectiveness, economy, and dependability. These developments will keep influencing how software is tested and used.
Keep in Mind These Testing Trends
•DevOps and security testing
•Cybersecurity testing
•IoT testing
•Big data testing
•Cloud-based testing
•Automated Testing
•Continuous and Performance Testing
•Artificial Intelligence (AI)
•Mobile App testing
What role does AI play in software testing?
Astute test selection
Because AI can automatically collect and analyze information and evaluate test results, it can identify which tests are required and which are unnecessary.
Machine learning
Machine learning may aid software testing by automatically: creating test cases, auditing existing tests for coverage, speed, and completeness, as well as running them.
Advantages of AI for software testing
Reduced test execution time
AI may shorten test execution time by refuting or deleting redundant tests and improving test data management flow by ensuring high-quality data reaches the test cases initially.
•Improved test management
Software code develops quickly and adjusts tests to ensure compatibility with new source code, increasing the time and cost of test maintenance. AI can help to lessen this by employing computer vision bots and brilliant test selection.
•Expand test coverage
AI may analyze the results of exploratory tests to generate new tests to enhance test coverage and use software testing data to determine the likelihood and severity of bugs in various product portions.
•Generating test data
ML generates test data similar to production data to train ML models and test applications directly.
Challenges of AI in software testing
•Data accessibility
AI models need high-quality data before going into production to avoid junk
•Absence of generality
Although AI algorithms can answer specific issues appropriately, they cannot generalize, limiting their application cases.
•Computationally pricey
Machine learning and deep learning are computationally costly to implement. Because of the high computing cost, several AI models built by Facebook and Google are commercially unviable.
Important Procedures for Software Testing Services
•Test Automation with No Code
Low-code or no-code solutions provide by test automation technologies to increase application delivery speed and quality. These tools include functionality like recording and playback, drag and drop, and AI/ML technology integration.
•RPA-led Testing
RPA technologies use to shorten the test cycle by creating reusable components and bot to assist in various testing phases. In addition, AI/ML and RPA approaches can help the software testing process to keep up with new technologies.
•AI/ML Methodologies
AI/ML approaches enhance software development and quality assurance procedures, such as finding duplicate test cases and improving regression testing.
•DevTestOps
DevTestOps reduces bugs by combining the Development, Testing, and Operations Teams to ensure a high-quality result.
Sun Technologies follows a developer-centric approach to test automation. Our QA Automation CoE (Center of Excellence) comprises test automation architects, automation leads, and test engineers with diversified experience and expertise in automation testing across industries.
Our QA team specializes in creating automation frameworks based on Behavior Driven Development (BDD) and Test-Driven Development (TDD) for efficient testing. From automating regression sets to designing new test cases and instant test automation scripts, we ensure end-to-end support for your business process automation and testing.
Try our Codeless, scriptless, Intelligent Test Automation solution – INTELLISWAUT & SWAUT.
Narwal is born to help companies transform to the digital world with a specific focus on Automation, Data & Analytics and Cloud. We’re passionate about these areas with a proven track record of success and case studies with the best implementations in the industry.
(c) Nathan Price 2014.[#Beginning of Shooting Data Section].Nikon D50.23/06/2014 20:56:10.30.Time Zone and Date:.Jpeg Fine (8-bit).Image Size: L (3008 x 2000).Lens: 17-50mm f/2.8G.Focal Length: 32mm.Exposure Mode: Manual.Metering: Matrix.Shutter Speed: 1/15s.Aperture: f/2.8.Exposure Comp.: 0EV.Exposure Tuning:.ISO Sensitivity: ISO 200.Optimize Image: Vivid.White Balance: Auto, 0.Focus Mode: AF-A.AF-Area Mode: Dynamic.AF Fine Tune:.VR:.Long Exposure NR: OFF.Color Mode: Mode IIIa (sRGB).Color Space: sRGB.Tone Comp.: Auto.Hue Adjustment: 0° .Saturation: Enhanced.Sharpening: Auto.Active D-Lighting:.Vignette Control:.Auto Distortion Control:.Picture Control:.Base:.Quick Adjust:.Sharpening:.Contrast:.Brightness:.Saturation:.Hue:.Filter Effects:.Toning:.Map Datum:.Dust Removal:.[#End of Shooting Data Section].