Testing methods used in the automotive industry: results from a survey

Altinger, Harald; Wotawa, Franz; Schurius, Markus

doi:10.1145/2631890.2631891

Cited by 48 publications

(29 citation statements)

References 3 publications

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“…Our survey investigates especially test case creation in the automotive domain, in which test engineers are chosen as participants and the structure of the test cases is known. Another automotive survey concentrates on the tool usage during requirements engineering and testing instead of the potential benefits of MBTCC. Considering this focus, these findings did not address our research questions.…”

Section: Related Workmentioning

confidence: 99%

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SMArDT modeling for automotive software testing

et al. 2018

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Summary Efficient testing is a crucial prerequisite to engineer reliable automotive software successfully. However, manually deriving test cases from ambiguous textual requirements is costly and error‐prone. Model‐based software engineering captures requirements in structured, comprehensible, and formal models, which enables early consistency checking and verification. Moreover, these models serve as an indispensable basis for automated test case derivation. To facilitate automated test case derivation for automotive software engineering, we conducted a survey with testing experts of the BMW Group and conceived a method to extend the BMW Group's specification method for requirements, design, and test methodology by model‐based test case derivation. Our method is realized for a variant of systems modeling language activity diagrams tailored toward testing automotive software and a model transformation to derive executable test cases. Hereby, we can address many of the surveyed practitioners' challenges and ultimately facilitate quality assurance for automotive software.

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Section: Related Workmentioning

confidence: 99%

“…Another automotive survey concentrates on the tool usage during requirements engineering and testing instead of the potential benefits of MBTCC. Considering this focus, these findings did not address our research questions.…”

Section: Related Workmentioning

confidence: 99%

SMArDT modeling for automotive software testing

et al. 2018

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“…We extend the mapping between the C statements and Simulink control logic blocks [22] as shown in the Table 1. Note that the choice of C language is caused by the possibility code generation from Simulink models to C code and it is one of the widely used programming languages in the automotive software development [4]. In addition, For Each Subsystem, Atomic Subsystem, and the number of case statements of the MultiPortSwitch block are also counted as decision statements.…”

Section: Cyclomatic Complexitymentioning

confidence: 99%

Tailoring complexity metrics for simulink models

Olszewska

Dajsuren

Altinger

et al. 2016

Proccedings of the 10th European Conference on Software Architecture Workshops

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Document VersionPublisher's PDF, also known as Version of Record (includes final page, issue and volume numbers)Please check the document version of this publication:• A submitted manuscript is the author's version of the article upon submission and before peer-review. There can be important differences between the submitted version and the official published version of record. People interested in the research are advised to contact the author for the final version of the publication, or visit the DOI to the publisher's website.• The final author version and the galley proof are versions of the publication after peer review.• The final published version features the final layout of the paper including the volume, issue and page numbers. Link to publication General rightsCopyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights.• Users may download and print one copy of any publication from the public portal for the purpose of private study or research.• You may not further distribute the material or use it for any profit-making activity or commercial gain • You may freely distribute the URL identifying the publication in the public portal ? Take down policyIf you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim. ABSTRACTThe size and complexity of Simulink models is constantly increasing, just as the systems which they represent. Therefore, it is beneficial to control them already at the design phase. In this paper we establish a set of complexity metrics for Simulink models to capture diverse aspects of complexity by proposing new and redefining existing metrics. To evaluate the applicability of our metrics, we compare them with the closed-source metric proposed by Mathworks. Moreover, through a case study from the automotive domain, we relate such metrics to quality attributes as determined by domain experts, and correlate them to known faults. Preliminary assessment suggests that complexity is closely related to analysability, understandability, and testability.

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“…In a recent survey Altinger et al [8] presented tools and methods used within the development of automotive software. IBM Doors is the most common tool to specify requirements and Matlab/Simulink as the most wide-spread modelling tool for embedded automotive functionality.…”

Section: Development Work-flow and Toolsmentioning

confidence: 99%

A Novel Industry Grade Dataset for Fault Prediction Based on Model-Driven Developed Automotive Embedded Software

Altinger

Siegl

Dajsuren

et al. 2015

2015 IEEE/ACM 12th Working Conference on Mining Software Repositories

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In this paper, we present a novel industry dataset on static software and change metrics for Matlab/Simulink models and their corresponding auto-generated C source code. The data set comprises data of three automotive projects developed and tested accordingly to industry standards and restrictive software development guidelines. We present some background information of the projects, the development process and the issue tracking as well as the creation steps of the dataset and the used tools during development. A specific highlight of the dataset is a low measurement error on change metrics because of the used issue tracking and commit policies.

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Testing methods used in the automotive industry: results from a survey

Cited by 48 publications

References 3 publications

SMArDT modeling for automotive software testing

SMArDT modeling for automotive software testing

Tailoring complexity metrics for simulink models

A Novel Industry Grade Dataset for Fault Prediction Based on Model-Driven Developed Automotive Embedded Software

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