白皮书

Consistent test reuse across MIL, SIL, and HIL in a model-driven development workflow

This paper presents a standards-based, systematic, and automated generative MDD/XIL workflow that helps automotive developers develop their production ECU V&V suites early during software modeling and reuse them throughout the overall systems engineering project. The test cases developed during design can be reused through to production ECU testing and ultimately for automated regression V&V of future software updates deployed into the field.

Safe and secure automotive-grade embedded software

Deploying safe and secure automotive-grade embedded software is inherently complex. It requires a massive amount of verification and validation (V&V) effort that is ever increasing with the advent of advanced technologies for advanced driver assistance systems (ADAS), automated driving systems (ADS), and autonomous vehicles (AV). To address these challenges, the automotive industry is being bombarded with an expanding number of different specialized software tools from different vendors that must somehow work together. V&V suites developed throughout and across car projects must be reusable to ensure success with being on time, on budget, and delivering a quality output.

填写表单可立即获取

抱歉!

页面提交出错。请重新尝试。

字段为必填 必须填写有效的电子邮件地址
字段为必填 值无效或太长
字段为必填 值无效或太长
字段为必填 值无效或太长
字段为必填 值无效或太长
字段为必填 请添加有效电话号码
字段为必填 值无效或太长
字段为必填 值无效或太长
字段为必填 值无效或太长

字段为必填
字段为必填 值无效或太长
字段为必填 值无效或太长
字段为必填 值无效或太长

This paper presents a standards-based, systematic, and automated generative MDD/XIL workflow that helps automotive developers develop their production ECU V&V suites early during software modeling and reuse them throughout the overall systems engineering project. The test cases developed during design can be reused through to production ECU testing and ultimately for automated regression V&V of future software updates deployed into the field.

Safe and secure automotive-grade embedded software

Deploying safe and secure automotive-grade embedded software is inherently complex. It requires a massive amount of verification and validation (V&V) effort that is ever increasing with the advent of advanced technologies for advanced driver assistance systems (ADAS), automated driving systems (ADS), and autonomous vehicles (AV). To address these challenges, the automotive industry is being bombarded with an expanding number of different specialized software tools from different vendors that must somehow work together. V&V suites developed throughout and across car projects must be reusable to ensure success with being on time, on budget, and delivering a quality output.