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IoT Automation Testing: All You Need to Know

When one develops an IoT-based product, testing is deemed to be among the most important aspects of the process. However, given the complexity of the IoT testing process, we have now seen the emergence of automation.

What Is IoT Testing?

IoT testing is primarily the practice of executing QA tests that helps validate the performance, functionality, and security of an IoT device. This is because every IoT device transmits data from one object to another via the internet. Further, it’s crucial to verify that your IoT devices can transmit sensitive information wirelessly. That’s why many successful IoT businesses today rely upon IoT automation, penetration, and performance testing tools so that any defect can be detected before it reaches consumers.

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Flutter Web Development: All You Need to Know

A Google offering, Flutter is a UI library that was initially offered as a tool to enable the development of functional cross-platform mobile apps with the capacity to offer seamless performance akin to that of a native app. An emerging framework used for crafting beautiful cross-platform mobile applications, Flutter allows development teams to target both iOS and Android platforms with a single code base. This helps save a significant amount of time and resources. 

It now also includes the development of web apps for mobile as well as desktops. Further, Flutter’s web support even helps develop complex standalone web applications with graphically rich and interactive content to reach end-users on a broad variety of devices. Also, as part of web support, it even offers a delivery model based on browsers for the existing Flutter mobile applications.

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Machine Learning and React Native: Feasible for Web Development?

Unless you have been living under a rock, there is no way you have not heard of at least artificial intelligence. Of course, this is because of the potent tool it has proven to be over the past decade. This popularity, then, led to the emergence of machine learning as well as deep learning. Now, they are both technically subsets of artificial intelligence, but the plethora of their advantages have ensured they were each able to establish their distinct identities in the market. Now, machine learning serves to help systems use input data to improve themselves. 

Meanwhile, deep learning, which involves the use of algorithms based on the human brain’s structure and function, is enabling the achievement of unparalleled results in computer vision, ML, etc.

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Java 15: What You Should Know

Introduction

In September 2020, Oracle released a new short-term release for the Java Development Kit platform, a.k.a. Java 15. Of course, this caused quite a bit of excitement in the development world, mainly due to the many, many changes and advanced provisions it offered to developers. 

Even though it was only a short-term release Java 15 managed to pack quite a punch; from hidden classes, text blocks, to the Z Garbage Collector, a foreign memory access API, and so much more.

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Top 3 Tips for Ensuring Security During Java Development

Even though Java has been around since the 1990s, it continues to be a popular programming language in the development ecosystem. It is because Java has long demonstrated its value as an A-grade resource that allows developers to effectively deal with the many challenges associated with other prevalent languages and enable the development of high-quality solutions. 

Java continues to be celebrated as a terrific programming language that delivers ace levels of security. However, that also does not mean that programmers can take protection for granted. To put it simply, ensuring the safety of your Java app should be one of the top priorities for any company, for, without it, the business is likely to suffer the wrath of consumers' distrust! So, to help you avoid that situation and continue to deliver Java apps with top-notch quality and safety, we have listed some of the best practices that one would do well to adopt and integrate into their Java web application development project.

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Tips for Data Persistence in iOS With Swift

One of the most crucial features of apps today is data persistence. If you don’t quite understand why, a fundamental definition of the concept will help. Data persistence refers to the mechanism of storage of data, irrelevant of its type, to a disk. The point is to make sure that this data can then be retrieved later whenever users open the app and allow them to continue from precisely where they left off. 

This guide, however, will focus on techniques and methods exclusively in the context of storing data locally in an iOS app. And before we get started with that, it is essential to understand that local storage in iOS apps is not the default setting. Instead, what happens is that all the constants and variables assigned in Swift are stored in memory by default.