%0 Conference Paper %1 DBLP:conf/smc/FischerVWLLS20 %A Fischer, Juliane %A Vogel-Heuser, Birgit %A Wilch, Jan %A Loch, Frieder %A Land, Kathrin %A Schaefer, Ina %B 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC) %D 2020 %I IEEE %K %P 3760--3767 %R 10.1109/SMC42975.2020.9283309 %T Variability Visualization of IEC 61131-3 Legacy Software for Planned Reuse %U https://doi.org/10.1109/SMC42975.2020.9283309 %X Automated production systems (aPS) are variant-rich, design-to-order systems and an increasing proportion of their functionality is implemented by control software. In control software development, software reuse is still commonly performed via clone-and-own despite many drawbacks, e.g., copying errors. This unplanned reuse leads to a high amount of historically grown software variants, which contain valuable domain expertise. Therefore, to enable planned reuse of existing control software solutions, an analysis of legacy software, inducing documentation of identified variability, is required. While so-called Software Product Lines enable the documentation of variability, they lack suitable variability visualization tailored to the needs of aPS stakeholders such as application or module developers. To address this gap, this paper introduces a variability visualization concept tailored to the needs of aPS stakeholders with the aim of supporting them in their daily tasks. The concept was evaluated successfully within a master student's course by use of a prototypical implementation of the visualization concept.

@inproceedings{DBLP:conf/smc/FischerVWLLS20, abstract = {Automated production systems (aPS) are variant-rich, design-to-order systems and an increasing proportion of their functionality is implemented by control software. In control software development, software reuse is still commonly performed via clone-and-own despite many drawbacks, e.g., copying errors. This unplanned reuse leads to a high amount of historically grown software variants, which contain valuable domain expertise. Therefore, to enable planned reuse of existing control software solutions, an analysis of legacy software, inducing documentation of identified variability, is required. While so-called Software Product Lines enable the documentation of variability, they lack suitable variability visualization tailored to the needs of aPS stakeholders such as application or module developers. To address this gap, this paper introduces a variability visualization concept tailored to the needs of aPS stakeholders with the aim of supporting them in their daily tasks. The concept was evaluated successfully within a master student's course by use of a prototypical implementation of the visualization concept.}, added-at = {2021-02-23T12:24:49.000+0100}, author = {Fischer, Juliane and Vogel{-}Heuser, Birgit and Wilch, Jan and Loch, Frieder and Land, Kathrin and Schaefer, Ina}, bibsource = {dblp computer science bibliography, https://dblp.org}, biburl = {https://www.bibsonomy.org/bibtex/2d6e40747b9a493010d8d7c6f69d30b78/alexanderschlie}, booktitle = {2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)}, doi = {10.1109/SMC42975.2020.9283309}, interhash = {1e3b539df7d2ae425bbd36a452871f03}, intrahash = {d6e40747b9a493010d8d7c6f69d30b78}, keywords = {}, month = oct, pages = {3760--3767}, publisher = {{IEEE}}, timestamp = {2021-02-23T12:24:49.000+0100}, title = {Variability Visualization of IEC 61131-3 Legacy Software for Planned Reuse}, url = {https://doi.org/10.1109/SMC42975.2020.9283309}, venue = {International Conference on Systems, Man, and Cybernetics}, year = 2020 }