CISC Semiconductor GmbH defines itself as “design and consulting service company for industries developing embedded microelectronic systems with extremely short Time-To-Market cycles.” The company started in 1999, working in the semiconductor industry, but soon expanded its field towards the automotive branch and further extended business towards the radio frequency technology (RFID) sector in 2003. Since then, CISC gained significant experience and expertise in RFID, developing an own business segment and highly sensitive measurement equipment to test and verify RFID systems for different industries. Representatives of CISC Semiconductor are actively working on and contributing to worldwide standardization of future technologies like RFID, in different standardization organizations. This effort brings CISC into the position of being a leader in research and development, and thus being able to be “one step ahead of innovation”. As of 2011 CISC Semiconductor is in a globally leading standardization position for RFID testing by providing the convener of ISO/IEC JTC1 WG4/SG6 on “RFID performance and conformance test methods“, as well as GS1 EPCglobal co-chairs for performance and conformance tests.Their main office is at the Lakeside Science & Technology Park in Klagenfurt, Austria near the University of Klagenfurt. A branch office is located in Graz, Austria, enabling a close cooperation with the Graz University of Technology. In the U.S.A the company has a subsidy in Mountain View (CA)..
To make a L3AD vehicle trustworthy and make the user feel comfortable using such a vehicle is crucial for the adoption of automated vehicles. Such an automated vehicle cannot be just a vehicle it has to be a TrustVehicle. Therefore, the TrustVehicle project presents an approach to define how a vehicle should behave in order to be a TrustVehicle by collecting requirements in the form of user concerns and expectations as well as expert opinions. Based on these results, Key Performance Indicators are defined to measure trustworthy vehicle behaviour divided in human, technology and vehicle category. Finally, the defined trustworthy vehicle behaviour needs to be benchmarked. This is done by a variety of use cases, dealing with complex scenarios and different demonstrator vehicles to reflect diverse aspects of complex traffic situations and conditions.
In this paper, we present a new design and proof of concept of a smart Near Field Communication (NFC) sniffer, including special trigger features for high-precision measurements during NFC interoperability testing. Even though interoperability testing is not mandatory for successful NFC-device certification, the fast increasing amount of electronic consumer devices providing NFC functionality strongly increases the need for interoperability testing. Nowadays, used automated interoperability test systems require time-consuming and expensive manual debug sessions in case of a communication error, to compensate missing test data for analyzing the failure root cause. To highly decrease costs and time required to perform these manual measurements, we developed a proof of concept of a sniffer tool providing intelligent trigger functionalities. It supports the test engineer during manual debug session and can be integrated into a fully automated interoperability test and analysis system. Hence, we drive the development of automated interoperability test systems and want to encourage standardization bodies to include interoperability testing to the certification procedure.
The electrification of today's vehicles and the high amount of new assistance features imply more and more complex systems. The sensing and controlling of these systems is the work of the highly distributed and connected electronic control units. To keep pace with the fast growing automotive market, reusability of components and features is today the key to reduce costs and time-to-market. Especially when systems are safety-critical and demand reliability, new methods and tools are thus essential to support the reusability aspect in the development process. A model-based approach, in conjunction, moreover helps to communicate between different stakeholders, provides different views and serves as a central storage of information. Through applying reliability analysis and simulation-based verification methods on our hardware model and furthermore automatic generation of a first virtual prototype, we are able to reduce the tools involved, thus resulting in correctness, completeness and consistency of the entire system.
In the automotive domain, safety plays an ever increasing role in the development of future vehicles. Since the automotive market is heading towards fully automated driving cars, the amount of new assistance features for ensuring safe and reliable operations is rising. Today, requirements, design and verification must follow the stringent specifications from standards such as ISO26262 for functional safety. Thus, simulation in early design phases is key to develop safe and reliable systems and to reduce costs and time-to-market. UML as a model-based approach, helps to overcome the complexity issues of safety-critical systems and improves the communication between different stakeholders (e.g. hardware, software, safety, security). In this paper, we present a novel methodology to automatically generate testbenches for simulation based verification starting from a first safety analysis and derived safety requirements. Through early simulation of UML/MARTE models with constraint random stimuli and parameters we are able to derive further requirements for safety-critical system development. Furthermore, our approach is compliant with the requirements, design and verification flow of ISO26262. We will show the benefits by applying our methodology to an industrial use case of a battery management system.
