8
Jun

Key Reasons Why Testing Your Apps Across Cross-Platforms Is Important!

Long gone are the days when customers had limited options to access the internet and digital content. Customers today expect their apps to run flawlessly, whether they are on Android, iPhone, Windows laptop, or macOS. As soon as they notice inconsistencies, they won’t shy away from discarding a buggy application. As per a survey result reported by Forbes, sites that load in 1 second have a higher conversion rate than sites loading in 5 seconds.

Cross-platform testing guarantees that developed software is compatible with all platforms, which, strictly speaking, has become a necessity. This blog will give you a quick rundown on why testing an application for cross-platform is necessary.

What Does Cross-Platform Testing of Apps Mean?

Cross-platform testing entails making sure an application works effectively on various available platforms. This measure guarantees that the application offers similar functions and user experience across different operating environments. Developers can improve the quality and dependable functionality of the application by eliminating user interface issues, performance inefficiencies, and cross-platform compatibility issues.

Why Is Cross-Platform Testing Necessary?

Cross-platform is unavoidable if you want your application to satisfy users and give them the best experience on any platform of their choice.

1. Expanding Device and OS Fragmentation

The mobile ecosystem expands in numerous directions because of thousands of device models, screen sizes, and operating system versions. Numerous device types create immense challenges for developers who wish to achieve standard user experiences. The application’s correct functioning on this extensive range of devices becomes achievable through cross-platform testing, which avoids user interface issues and resolution problems as well as performance breakdowns. For example, by using the inspect element tool on iOS, developers can find rendering issues or JavaScript inconsistencies to ensure a seamless app experience on various Apple devices.

2. Enhancing User Experience and Retention

Every application aims to deliver a smooth user experience to customers who access it through different platforms. Users expect to encounter identical core functionality and experience no matter which platform they have chosen, between iOS and Android, or desktop and mobile.

Testing across different platforms assists developers in finding behavioral differences in their applications within various environments. Users will become frustrated by inconsistent application characteristics, and which will have negative impacts on your brand reputation. The complete testing of different platforms allows you to provide users with the top-notch experience they expect.

3. Early Bug Detection

Addressing development issues before the product reaches the release stage proves less expensive than managing them after the release. The detection of bugs through cross-platform testing before the app’s release lowers post-release debugging expenses while decreasing the chances of negative user feedback. Running complete tests across every targeted platform helps developers reduce development time and resource costs to ensure quick product release schedules.

4. Compatibility with Diverse Network Conditions

High-speed internet connections are unavailable to all users because some people still rely on 3G or unstable Wi-Fi networks. The evaluation of application performance across different networks forms part of cross-platform testing, which helps maintain a responsive interface for users under poor network conditions. Better optimization of data allows users to maintain a consistent experience across all network environments.

5. Improved Market Reach and Brand Reputation

A well-optimized application attracts a wider audience, boosting downloads, engagement, and revenue. Conversely, poor compatibility can result in negative reviews and low ratings, directly impacting app store rankings and user trust. Cross-platform testing helps maintain a positive brand image and higher retention rates by ensuring that the application meets the expectations of diverse user groups across various platforms.

6. Compliance with Industry Standards and Regulations

Current regulations force numerous industries to fulfill specific standards relating to their software operational capabilities, along with security measures, as well as access points. Your application needs to uphold these regulations even on different platforms since these requirements become applicable to all supported environments. By conducting cross-platform tests your organization safeguards itself from legal trouble and penalties through effective enforcement of compliance across all supported platforms.

Best Practices For Cross-Platform Testing

The success of cross-platform testing requires more than running tests on various devices since an organized approach both detects platform-dependent problems and improves performance output. It should be both structured and strategic. Below is a list of best practices that you can follow for cross-platform testing:

  • First, identify the platforms your target audience uses and focus only on the most-used ones.
  • Identify devices, browsers, and operating systems to make combinations. Create a testing matrix to rank the priority level for each combination.
  • You must test user interfaces for consistency across platforms by implementing UI test cases to accomplish design and usability congruence.
  • The app needs testing for responsive designs, which confirms the correct display across multiple screen sizes and resolutions.
  • Security testing for cross-platform systems should have platform-specific vulnerabilities as its primary focus during testing.
  • The application needs integration testing to verify correct functioning with external systems across all target platforms.
  • Testing of platform-specific features should occur exclusively on the platforms where the features operate.
  • The testing should focus on operating system versions according to user statistics while conducting compatibility checks across all selected versions.

Conclusion

Organizations pursuing quality application delivery must conduct cross-platform testing because it no longer operates as an optional step. This testing approach enables organizations to deliver consistent user interfaces while expanding their markets. It also enables quick early identification of platform-specific issues while meeting regulatory needs and improving security measures.

Digital platforms continue to expand in diversity, which means cross-platform testing will become increasingly necessary. Success in the complex digital landscape depends on organizations that inspect their products through comprehensive testing across different environments, and those who skip this step will face competition from diligent competitors.

1
Sep

Free Elasticsearch eBooks

Below is the list of free ebooks on Elasticsearch, Kibana, ELK Stack, Lucene, Logstash with their download link curated from different sources. Hope, you will find them useful in preparing for Deep Learning. There are in different formats like mobi, epub and pdf. In case, you don’t have mobi or epub reader please download it separately to view those files. I expect you must be having pdf viewer.

If you would like to list your ebook free of cost or would like to contribute, do comment or reach out to us. Did you check about other free eBooks about:

Tensorflow eBooks : Click Here
Machine Learning eBooksClick Here

31
Aug

Free Deep Learning eBooks

Deep Learning is a subfield of Machine Learning which learns from example. It is highly used in driverless cars, sentiment analysis, credit scoring, fraud detection etc. Below is the list of free Deep Learning ebooks with their download link curated from different sources. Hope, you will find them useful in preparing for Deep Learning.

  • Deep Learning – A Practitioner’s Approach [Download]
  • Deep Learning – Ian Goodfellow, Yoshua Bengio, Aaron Courville [Download]
  • Deep Learning in Python [Download]
  • Deep Learning with Hadoop [Download]
  • Deep Learning with Keras [Download]
  • Deep Learning with Python – A Hands-on Introduction [Download]
  • Deep Learning with PyTorch [Download]
  • Fundamentals of Deep Learning [Download]
  • Grokking Deep Learning – MEAP v10 [Download]
  • Java Deep Learning Essentials [Download]
  • Python – Deeper Insights into Machine Learning [Download]
  • Python Deep Learning Cookbook [Download]
  • R Deep Learning Essentials [Download]
  • TensorFlow 1.x Deep Learning Cookbook [Download]
  • TensorFlow for Deep Learning – From Linear Regression to Reinforcement Learning [Download]

If you would like to list your ebook free of cost or would like to contribute, do comment or reach out to us. Did you check about other free eBooks about:

Tensorflow eBooks : Click Here
Machine Learning eBooks: Click Here

16
Jun

Free Tensorflow eBooks

Tensorflow considered one of most used Machine Learning library offered by Google. It is fast, flexible and easy for beginners as well as professionals. Below is the list of free Tensorflow ebooks with their download link curated from different sources. Hope, you will find them useful in preparing for Tensorflow.

  • Building Machine Learning Projects with TensorFlow [Download]
  • Deep Learning with TensorFlow [Download]
  • Getting Started with TensorFlow [Download]
  • Hands-On Deep Learning with TensorFlow [Download]
  • Hands-On Machine Learning with Scikit-Learn and TensorFlow [Download]
  • Learning TensorFlow A Guide to Building Deep Learning Systems [Download]
  • TensorFlow 1.x Deep Learning Cookbook [Download]
  • TensorFlow for Deep Learning From Linear Regression to Reinforcement Learning [Download]
  • TensorFlow For Machine Intelligence [Download]
  • TensorFlow Machine Learning Cookbook [Download]

If you would like to list your ebook free of cost or would like to contribute, do comment or reach out to us.

16
Jun

Free Machine Learning Ebooks

Below is a list of free Machine Learning Ebooks with their download link curated from different sources. There are in different formats like mobi, epub and pdf. In case, you don’t have mobi or epub reader please download it separately to view those files. I expect you must be having pdf viewer. Below mentioned books are not only associated with specific language or profile. Hope, you will find them useful in preparing for Machine Learning.

  • A Course in Machine Learning [Download]
  • Advanced Machine Learning with Python [Download]
  • Big Data, Data Mining, and Machine Learning [Download]
  • Building Intelligent Systems – A Guide to Machine Learning Engineering [Download]
  • Designing Machine Learning Systems with Python [Download]
  • Introduction to Machine Learning with Python [Download]
  • Introduction To Python Programming – Beginner’s Guide To Computer Programming And Machine Learning [Download]
  • Large Scale Machine Learning with Python [Download]
  • Large Scale Machine Learning with Spark [Download]
  • Learning Generative Adversarial Networks [Download]
  • Learning NumPy Array [Download]
  • Machine Learning – Hands-On for Developers and Technical Professionals [Download]
  • Machine Learning – Jason Bell [Download]
  • Machine Learning for Developers [Download]
  • Machine Learning for Email [Download]
  • Machine Learning for Hackers [Download]
  • Machine Learning for the Web [Download]
  • Machine Learning in Action [Download]
  • Machine Learning in Java [Download]
  • Machine Learning Using C# Succinctly [Download]
  • Machine Learning with Spark [Download]
  • Machine Learning with TensorFlow [Download]
  • Mastering .NET Machine Learning [Download]
  • Mastering Machine Learning with Python in Six Steps [Download]
  • Mastering Machine Learning with scikit-learn – Second Edition [Download]
  • Mastering Scala Machine Learning [Download]
  • Microsoft Azure Machine Learning [Download]
  • Neural Network Programming with Java [Download]
  • Neural Networks Using C# Succinctly [Download]
  • Practical Machine Learning with H2O – Powerful, Scalable Techniques for Deep Learning and AI [Download]
  • Practical Machine Learning [Download]
  • Practical Reinforcement Learning [Download]
  • Python – Deeper Insights into Machine Learning [Download]
  • Python for Probability, Statistics, and Machine Learning [Download]
  • Python Machine Learning Blueprints [Download]
  • Python Machine Learning By Example [Download]
  • Python Machine Learning Case Studies [Download]
  • Python Machine Learning Cookbook – Early Release [Download]
  • Python Machine Learning Cookbook [Download]
  • Python Machine Learning [Download]
  • Python Real World Machine Learning [Download]
  • Quantum Machine Learning – Peter Wittek [Download]
  • Real-World Machine Learning [Download]
  • Reinforcement Learning – With Open AI, TensorFlow and Keras Using Python [Download]
  • Scala for Machine Learning [Download]
  • scikit-learn Cookbook – Second Edition [Download]
  • Thoughtful Machine Learning with Python A Test-Driven Approach [Download]
  • Thoughtful Machine Learning with Python [Download]
  • Using Python to Develop Analytics, Control and Machine Learning Products [Download]
  • What You Need to Know about Machine Learning [Download]
  • What You Need to Know about R [Download]

If you would like to list your ebook free of cost or would like to contribute, do comment or reach out to us.

Did you check Free TensorFlow ebooks? Click on the link below:

https://www.globalsqa.com/free-tensorflow-ebooks/