Development of Automotive Communication Based Real-Time Systems - A Steer-by-Wire Case Study

Klobedanz, Kay; Kuznik, Christoph; Elfeky, Ahmed S.; Müller, Wolfgang W.

doi:10.1007/978-3-642-04284-3_20

Cited by 4 publications

(3 citation statements)

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“…In our case study, we investigated the interplay of TIMMO timing analysis and an AUTOSAR project during the development process. The starting point of the case study was an existing steerby-wire system [10] that is realized by two ECUs connected by a FlexRay 1 bus. ECU1 controls an active steering wheel and ECU2 controls the corresponding axle (see Fig.…”

Section: Speed-adaptive Steer-by-wire Case Studymentioning

confidence: 99%

Timing modeling and analysis for AUTOSAR-based software development - a case study

Klobedanz¹,

Kuznik²,

Thuy³

et al. 2010

2010 Design, Automation &Amp; Test in Europe Conference &Amp; Exhibition (DATE 2010)

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Safety-critical automotive systems must ful ll hard real-time constraints for reliability and safety. This paper presents a case study for the application of an AUTOSARbased language for timing modeling and analysis. We present and apply the Timing Augmented Description Language (TADL) and demonstrate a methodology for the development of a speedadaptive steer-by-wire system. We examine the impact of TADL and the methodology on the development process and the suitability and interoperability of the applied tools with respect to the AUTOSAR-based tool chain in the context of our case study.

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Section: Speed-adaptive Steer-by-wire Case Studymentioning

confidence: 99%

Timing modeling and analysis for AUTOSAR-based software development - a case study

Klobedanz¹,

Kuznik²,

Thuy³

et al. 2010

2010 Design, Automation &Amp; Test in Europe Conference &Amp; Exhibition (DATE 2010)

Self Cite

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“…In recent years, electronic control units (ECUs) and software have been developed in a distributed manner because functions, such as driving assistants and passenger convenience functions, have diversified [1]. The functions developed in this distributed environment are integrated into the system as a black box [2]. An integrated system becomes more complex as the number of components increases, because of dynamic interactions and inter-component reuse [3].…”

Section: Introductionmentioning

confidence: 99%

CNN-Based Fault Localization Method Using Memory-Updated Patterns for Integration Test in an HiL Environment

Choi

Lee

2019

Applied Sciences

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Automotive electronic components are tested via hardware-in-the-loop (HiL) testing at the unit and integration test stages, according to ISO 26262. It is difficult to obtain debugging information from the HiL test because the simulator runs a black-box test automatically, depending on the scenario in the test script. At this time, debugging information can be obtained in HiL tests, using memory-updated information, without the source code or the debugging tool. However, this method does not know when the fault occurred, and it is difficult to select the starting point of debugging if the execution flow of the software is not known. In this paper, we propose a fault-localization method using a pattern in which each memory address is updated in the HiL test. Via a sequential pattern-mining algorithm in the memory-updated information of the transferred unit tests, memory-updated patterns are extracted, and the system learns using a convolutional neural network. Applying the learned pattern in the memory-updated information of the integration test can determine the fault point from the normal pattern. The point of departure from the normal pattern is highlighted as a fault-occurrence time, and updated addresses are presented as fault candidates. We applied the proposed method to an HiL test of an OSEK/VDX-based electronic control unit. Through fault-injection testing, we could find the cause of faults by checking the average memory address of 3.28%, and we could present the point of fault occurrence with an average accuracy of 80%.

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“…Embedded automotive systems are integration centric with a focus on assembling existing, third-party developed, blackbox type software components [9,13]. Notably, dynamic interaction among software components and their reuse has increased complexity significantly [4,28] and requires managing end-to-end timing requirements in terms of scheduling, communication, and synchronization [12,15,39].…”

Section: Introductionmentioning

confidence: 99%

Measuring the constraint complexity of automotive embedded software systems

Garg

Lai

2014

2014 International Conference on Data and Software Engineering (ICODSE)

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The rapid growth of software-based functionalities has made automotive Electronic Control Units (ECUs) significantly complex. Factors affecting software complexity of components embedded in an ECU depend not only on the interface and interaction properties, but also on the added constraints associated with their usage and stringent timing requirements. Traditional constraint complexity measures are not adequate for embedded real-time systems as they do not yet sufficiently provide a measure of the timing constraints described by AUTOSAR languages. This paper presents a method for measuring the structural and timing constraint complexity of automotive embedded software systems at the specification level.

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Development of Automotive Communication Based Real-Time Systems - A Steer-by-Wire Case Study

Cited by 4 publications

References 1 publication

Timing modeling and analysis for AUTOSAR-based software development - a case study

Timing modeling and analysis for AUTOSAR-based software development - a case study

CNN-Based Fault Localization Method Using Memory-Updated Patterns for Integration Test in an HiL Environment

Measuring the constraint complexity of automotive embedded software systems

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