@inproceedings{bbb5609d86004a8482463b674ab732dd,
title = "A novel industry grade dataset for fault prediction based on model-driven developed automotive embedded software",
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.",
keywords = "Automotive, Fault prediction, Industry dataset, Model metrics, Source metrics",
author = "Harald Altinger and Sebastian Siegl and Yanja Dajsuren and Franz Wotawa",
year = "2015",
month = aug,
day = "4",
doi = "10.1109/MSR.2015.72",
language = "English",
series = "IEEE International Working Conference on Mining Software Repositories",
publisher = "IEEE Computer Society",
pages = "494--497",
booktitle = "Proceedings - 12th Working Conference on Mining Software Repositories, MSR 2015",
address = "United States",
note = "12th Working Conference on Mining Software Repositories, MSR 2015 ; Conference date: 16-05-2015 Through 17-05-2015",
}