Systems | Development | Analytics | API | Testing

Are self-driving cars safe? The software in modern cars contains more than 100 million lines of code that enable many different features — cruise control, speed assistance, and parking cameras. And, the code within these embedded systems only gets more complex. This trend will continue as cars of the future become more connected. Cars are increasingly dependent on technology. And they will progressively become more autonomous — and ultimately self-driving.

No longer a far-off dream found only in science fiction, flying vehicles are taking off alongside the advancement of drones and other aircraft. Soon, we hope to see the regular development of personal flying cars and services like electric air taxis. But, while the Urban Air Mobility (UAM) market is poised for immense growth in the next decade, vehicles zipping about through the air raise obvious safety and security concerns.

The world of automotive software is constantly shifting and transforming. From autonomous, self-driving cars to electric cars and advanced driver assistance systems, software in cars continues to become more integrated and complex. In fact, according to research from the Institute of Electrical and Electronics Engineers, most cars today now incorporate more than 100 million lines of code, whereas ten years ago this level of automotive software could only be found in high-end vehicles.

The focus of today’s new-car buyer centers more on the “Digital Cockpit ecosystem experience” and less on the traditional features, such as horsepower and fuel economy. The automotive industry has made it a priority to deliver that experience with fully connected in-vehicle infotainment (IVI) systems of touchscreen displays, voice commands, and integrated information and entertainment functions.

Automotive cybersecurity is critical in the development of vehicles, especially as software in cars is increasingly connected. In this blog, we share how to prevent automotive cybersecurity vulnerabilities. Read along or jump ahead to the section that interests you the most.

From connected cars and fleets of commercial vehicles to connected smart home devices, it’s estimated there are more than 14 billion products equipped with sensors, processors, software and connectivity worldwide—a number that is projected to almost double by 2030.

In an era defined by rapid technological advancements and increasing consumer expectations, the automotive industry faces unprecedented challenges and opportunities. Vehicle manufacturers must constantly innovate to remain competitive, and one indispensable tool in their arsenal is product analytics. This article explores compelling reasons why product analytics is essential for the automotive sector and suggests some additional considerations. So let's dive in!

Automotive Software Process Improvement and Capability Determination (Automotive SPICE®, or ASPICE) is a process assessment model that helps OEMs and suppliers assess the current performance — and maturity level — of software development processes within an organization. Complying with this standard helps automotive suppliers ensure the quality of their software meets key customer requirements.