In this post, we will show how you can write fuzz tests for your JavaScript projects in Jest as easily as regular unit tests. To make this possible, we have added integration for Jazzer.js into Jest, which enables you to write fuzz tests using the familiar Jest API. Additionally, you get great IDE support with features such as debugging and test coverage reporting out-of-the-box. This integration enables a smooth user experience with the advanced fuzzing technology provided by Jazzer.js.

As vehicles are becoming increasingly dependent on software, automotive software teams are adopting CI/CD (continuous integration and continuous deployment/delivery). This enables them to build, test, and deploy code faster than ever while simultaneously reducing potential maintenance costs. In automotive projects, functional and security bugs can be highly consequential, especially if they are found in the later stages of software development or, even worse, after shipping.

Unit testing is a crucial aspect of software development and helps to ensure that individual units of code are working as intended. In Java, the most popular framework for unit testing is JUnit. In this article, we will go over the basics of how to write and run unit tests in Java using the popular testing framework, as well as some best practices for unit testing.

Most developers, including myself, have written unit tests before. Fuzz testing on the other hand has only started seeing widespread industry usage in recent years. Yet, some voices are already praising fuzz testing as the more effective approach, due to its ability to automatically generate negative and invalid test inputs. Let's put this claim to the test and see how these two approaches match up.

Creating effective test cases and the right testing strategy for Java applications can be a time-consuming and complex task. This is where specialized testing solutions come in. With the right setup, developers can catch bugs early in the development process, before they become more difficult and expensive to fix. Additionally, testing methods can help identify and mitigate security vulnerabilities, which is critical for protecting sensitive data and maintaining the integrity of the application.

We live in a world that depends on embedded software. It’s in the cars we drive, the elevators we take and the airplanes we travel in. As these systems become more and more complex, it becomes increasingly challenging to ensure that the interaction between embedded software and hardware remains functional and secure. Due to the nature of embedded systems and the devastating consequences of failures, many traditional testing methods fall short of providing adequate security for them.

As organizations are increasingly prioritizing application security continues to become a top priority for organizations, application security risk assessments is atop many bucket lists. Every application is unique and carries threats factors. It's critical to implement processes and tools to identify and remediate security issues before shipping.

A recent study shows that software attacks cause Millions of Christmas trees to go dark each year (Claus, 2021). Since many people believe that trees cannot be hacked, they tend to find themselves in a false sense of security that too often leaves them exposed. In this article, I want to show you why fuzzing is the right method to protect your Christmas tree against malicious software attacks while turning it into a video game console.