@inproceedings{d9685a1df30e46fba5a9c449e2df5ead,
title = "Metrics for software quality in automated production systems as an indicator for technical debt",
abstract = "Technical debt (TD) is a critical issue in the software (SW) development industry that increases development costs over time and needs adaptation for production automation SW. This paper provides code metrics compliant with IEC 61131-3 programming languages for measuring the quality level of the system enabling the SW developer to evaluate TD compared to other existing applications. We introduce metrics, i.e. Halstead, McCabe, Kafura or MSUI to evaluate their applicability measuring code size, complexity and modularity in APS domain using two different expansion states of an application example.",
keywords = "IEC 61131-3, PLC, automation, quality, quality model, software engineering, source code, technical debt",
author = "Lorena Capit{\'a}n and Birgit Vogel-Heuser",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 13th IEEE Conference on Automation Science and Engineering, CASE 2017 ; Conference date: 20-08-2017 Through 23-08-2017",
year = "2017",
month = jul,
day = "1",
doi = "10.1109/COASE.2017.8256186",
language = "English",
series = "IEEE International Conference on Automation Science and Engineering",
publisher = "IEEE Computer Society",
pages = "709--716",
booktitle = "2017 13th IEEE Conference on Automation Science and Engineering, CASE 2017",
}