research-article

A novel industry grade dataset for fault prediction based on model-driven developed automotive embedded software

Authors:

Harald Altinger,

Sebastian Siegl,

Yanja Dajsuren,

Franz WotawaAuthors Info & Claims

MSR '15: Proceedings of the 12th Working Conference on Mining Software Repositories

Pages 494 - 497

Published: 16 May 2015 Publication History

Abstract

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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Cited By

Serban CVescan ASentilles SBoehm BTrubiani CKoziolek A(2019)Predicting reliability by severity and priority of defectsProceedings of the 2nd ACM SIGSOFT International Workshop on Software Qualities and Their Dependencies10.1145/3340495.3342753(27-34)Online publication date: 26-Aug-2019
https://dl.acm.org/doi/10.1145/3340495.3342753
Kotti ZSpinellis DStorey MAdams BHaiduc S(2019)Standing on shoulders or feet?Proceedings of the 16th International Conference on Mining Software Repositories10.1109/MSR.2019.00085(565-576)Online publication date: 26-May-2019
https://dl.acm.org/doi/10.1109/MSR.2019.00085
Olszewska MDajsuren YAltinger HSerebrenik AWaldén Mvan den Brand MBahsoon RWeinreich R(2016)Tailoring complexity metrics for simulink modelsProccedings of the 10th European Conference on Software Architecture Workshops10.1145/2993412.3004853(1-7)Online publication date: 28-Nov-2016
https://dl.acm.org/doi/10.1145/2993412.3004853
Show More Cited By

Index Terms

A novel industry grade dataset for fault prediction based on model-driven developed automotive embedded software

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Information & Contributors

Information

Published In

cover image ACM Conferences

MSR '15: Proceedings of the 12th Working Conference on Mining Software Repositories

May 2015

542 pages

ISBN:9780769555942

General Chair:
Massimiliano Di Penta
University of Sannio, Italy
,
Program Chairs:
Martin Pinzger
University of Klagenfurt, Austria
,
Romain Robbes
University of Chile, Chile

Sponsors

ACM: Association for Computing Machinery
SIGSOFT: ACM Special Interest Group on Software Engineering
IEEE-CS\DATC: IEEE Computer Society
TCSE: IEEE Computer Society's Tech. Council on Software Engin.

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IEEE Press

Publication History

Published: 16 May 2015

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ICSE '15

Sponsor:

ACM
SIGSOFT
IEEE-CS\DATC
TCSE

ICSE '15: 37th International Conference on Software Engineering

May 16 - 24, 2015

Florence, Italy

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ICSE 2025

2025 IEEE/ACM 46th International Conference on Software Engineering

April 26 - May 3, 2025

Ottawa , ON , Canada

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Cited By

Serban CVescan ASentilles SBoehm BTrubiani CKoziolek A(2019)Predicting reliability by severity and priority of defectsProceedings of the 2nd ACM SIGSOFT International Workshop on Software Qualities and Their Dependencies10.1145/3340495.3342753(27-34)Online publication date: 26-Aug-2019
https://dl.acm.org/doi/10.1145/3340495.3342753
Kotti ZSpinellis DStorey MAdams BHaiduc S(2019)Standing on shoulders or feet?Proceedings of the 16th International Conference on Mining Software Repositories10.1109/MSR.2019.00085(565-576)Online publication date: 26-May-2019
https://dl.acm.org/doi/10.1109/MSR.2019.00085
Olszewska MDajsuren YAltinger HSerebrenik AWaldén Mvan den Brand MBahsoon RWeinreich R(2016)Tailoring complexity metrics for simulink modelsProccedings of the 10th European Conference on Software Architecture Workshops10.1145/2993412.3004853(1-7)Online publication date: 28-Nov-2016
https://dl.acm.org/doi/10.1145/2993412.3004853
Altinger HHerbold SGrabowski JWotawa F(2015)Novel Insights on Cross Project Fault Prediction Applied to Automotive SoftwareProceedings of the 27th IFIP WG 6.1 International Conference on Testing Software and Systems - Volume 944710.1007/978-3-319-25945-1_9(141-157)Online publication date: 23-Nov-2015
https://dl.acm.org/doi/10.1007/978-3-319-25945-1_9

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