Metrics-based strategies for quality assurance of automotive embedded software

Kugler, Christopher; Kowalewski, Stefan; Richenhagen, Johannes; Maquet, Ralf; Schloßer, Axel

doi:10.1007/978-3-658-16988-6_56

Cited by 6 publications

(3 citation statements)

References 3 publications

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“…In [11], the author described the organization to adapt the standard classification scheme to and describes a methodology for comprehensively evaluating defect classification schemes. In [12], the authors describes the impact of strategical decisions on the software quality. In [13], the authors described the model based verification for embedded software.…”

Section: Literature Reviewmentioning

confidence: 99%

Effectiveness and Suitability of the Automotive EHPS Software Reliability and Testing

Wang¹,

Yang²,

Mbiye³

2021

Adv. sci. technol. eng. syst. j.

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The effectiveness and suitability for the reliability and test of the embedded software of the automotive EHPS (Electrical Hydraulic Power Steering) pump are extensively explored in this paper. The Crow-AMSAA analysis has been applied to evaluate the embedded software reliability growth based on the failure data collected in the prototype phase and in the field. The slope β of the Crow-AMSAA plot is smaller than 1 which indicates that the reliability of the embedded software is increasing and failure rate is decreasing. The field performance and reliability of the embedded software, which is the key indicator to evaluate the effectiveness and suitability of the reliability management and testing methods used in design and development, are also summarized in this paper. Using the real field and zero mileage data to evaluate the effectiveness and suitability of DFR (Design for Reliability) is also beneficial for the company to make the continuous improvement for the future embedded system/software design and development.

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Section: Literature Reviewmentioning

confidence: 99%

Effectiveness and Suitability of the Automotive EHPS Software Reliability and Testing

Wang¹,

Yang²,

Mbiye³

2021

Adv. sci. technol. eng. syst. j.

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“…To be on the safe side and take measures about its growing complexity, the collaboration between industry and academia has set out precautions for assuring IVNCS reliability. Architectures of HW and SW parts as well as techniques that verify their perfect integration have been introduced [15]. Testing/model checking techniques have been prescribed to monitor automotive operating systems, which are the bottom line of IVNCS control SW [16].…”

Section: Introductionmentioning

confidence: 99%

Controller area network reliability: overview of design challenges and safety related perspectives of future transportation systems

Lakhal

Nasri

Adouane

et al. 2020

IET intell. transp. syst

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The in‐vehicular networked control system is among the most critical embedded processes. The controller area network (CAN) has prevailed intra‐vehicle communication for decades. Meanwhile, requirements of future transportation systems are expected to emphasise the in‐vehicle communication complexity, which endangers the reliability/safety of the intelligent navigation. At first, this study reviews the recent solutions proposed to overcome the CAN expanding complexity. Challenges that tomorrow's intelligent vehicles may raise for CAN reliability are investigated. The comprehensive coverage of current research efforts to remove the impact of these challenges is presented. Further, the in‐vehicle system reliability of future automated vehicles is also related to the fault diagnosis performances. Hence, different classes of system‐level diagnosis strategies are compared relatively to the requirements of automotive embedded networks. Furthermore, to thoroughly cover CAN reliability engineering issues, focus is given to the automotive validation techniques. The hardware in the loop, real‐time analysis and computer‐aided‐design tools intervene in various phases along the in‐vehicular network life cycle. Parameters that stand behind the efficiency and accuracy of these techniques in validating the new generation of vehicles are analysed. The authors finally draw some deductive predictions about the future directions related to the reliability of the intelligent transportation system in‐vehicular communication.

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“…Due to increasing software (SW) complexity, among others due to increasing number of features, testing of software becomes more and more time-consuming ( [1]). Hence, countermeasures are needed.…”

Section: Introductionmentioning

confidence: 99%

Feature-Testing of Engine Electronic Control Unit Software

2017

Proceedings of 2017 the 7th International Workshop on Computer Science and Engineering

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Modern engine electronic control unit software contains a huge amount of features and the number is continuously increasing. This leads to the risk of undesired mutual reactions between features, so called feature interactions. Hence finding those feature interactions in an efficient way is an important task. This paper presents new approaches for efficiently testing those features: Feature-Test-Levels and Advanced Feature Testing. Feature-Test-Levels are especially useful for non-feature-oriented SW structures.

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Metrics-based strategies for quality assurance of automotive embedded software

Cited by 6 publications

References 3 publications

Effectiveness and Suitability of the Automotive EHPS Software Reliability and Testing

Effectiveness and Suitability of the Automotive EHPS Software Reliability and Testing

Controller area network reliability: overview of design challenges and safety related perspectives of future transportation systems

Feature-Testing of Engine Electronic Control Unit Software

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