@inproceedings{gregor2023revisiting,title={Revisiting Inter-Class Maintainability Indicators},author={Gregor, Lena and Schnappinger, Markus and Pretschner, Alexander},booktitle={2023 IEEE 30th International Conference on Software Analysis, Evolution and Reengineering (SANER)},pages={805--814},year={2023},}
2022
A Preliminary Study on Using Text-and Image-Based Machine Learning to Predict Software Maintainability – BEST PAPER AWARD
Markus Schnappinger, Simon Zachau, Arnaud Fietzke, and 1 more author
In International Conference on Software Quality (SWQD)., 2022
@inproceedings{schnappinger2022preliminary,title={A Preliminary Study on Using Text-and Image-Based Machine Learning to Predict Software Maintainability -- BEST PAPER AWARD},author={Schnappinger, Markus and Zachau, Simon and Fietzke, Arnaud and Pretschner, Alexander},booktitle={International Conference on Software Quality (SWQD).},pages={41--60},year={2022},organization={Springer},}
Probe-based syscall tracing for efficient and practical file-level test traces
Daniel Elsner, Roland Wuersching, Markus Schnappinger, and 1 more author
In Proceedings of the 3rd ACM/IEEE International Conference on Automation of Software Test, 2022
@inproceedings{elsner2022probe,title={Probe-based syscall tracing for efficient and practical file-level test traces},author={Elsner, Daniel and Wuersching, Roland and Schnappinger, Markus and Pretschner, Alexander},booktitle={Proceedings of the 3rd ACM/IEEE International Conference on Automation of Software Test},pages={126--137},year={2022},}
Build system aware multi-language regression test selection in continuous integration
Daniel Elsner, Roland Wuersching, Markus Schnappinger, and 4 more authors
In Proceedings of the 44th International Conference on Software Engineering: Software Engineering in Practice, 2022
@inproceedings{elsner2022build,title={Build system aware multi-language regression test selection in continuous integration},author={Elsner, Daniel and Wuersching, Roland and Schnappinger, Markus and Pretschner, Alexander and Graber, Maria and Dammer, Ren{\'e} and Reimer, Silke},booktitle={Proceedings of the 44th International Conference on Software Engineering: Software Engineering in Practice},pages={87--96},year={2022},}
2021
Efficient Platform Migration of a Mainframe Legacy System Using Custom Transpilation
Markus Schnappinger, and Jonathan Streit
In 2021 IEEE International Conference on Software Maintenance and Evolution (ICSME), 2021
@inproceedings{schnappinger2021efficient,title={Efficient Platform Migration of a Mainframe Legacy System Using Custom Transpilation},author={Schnappinger, Markus and Streit, Jonathan},booktitle={2021 IEEE International Conference on Software Maintenance and Evolution (ICSME)},pages={545--554},organization={IEEE},year={2021},}
Human-Level Ordinal Maintainability Prediction Based on Static Code Metrics
Markus Schnappinger, Arnaud Fietzke, and Alexander Pretschner
In International Conference on Evaluation and Assessment in Software Engineering (EASE), 2021
@incollection{schnappinger2021human,title={Human-Level Ordinal Maintainability Prediction Based on Static Code Metrics},author={Schnappinger, Markus and Fietzke, Arnaud and Pretschner, Alexander},booktitle={International Conference on Evaluation and Assessment in Software Engineering (EASE)},pages={160--169},publisher={ACM},year={2021},}
Supplemental Material: Human-level Ordinal Maintainability Prediction Based on Static Code Metrics
Markus Schnappinger, Arnaud Fietzke, and Alexander Pretschner
@inproceedings{schnappinger2020defining,title={Defining a Software Maintainability Dataset: Collecting, Aggregating and Analysing Expert Evaluations of Software Maintainability},author={Schnappinger, Markus and Fietzke, Arnaud and Pretschner, Alexander},booktitle={2020 IEEE International Conference on Software Maintenance and Evolution (ICSME)},pages={278--289},year={2020},organization={IEEE},}
A Software Maintainability Dataset
Markus Schnappinger, Arnaud Fietzke, and Alexander Pretschner
@misc{dataset_figshare,title={A Software Maintainability Dataset},howpublished={\url{https://figshare.com/articles/dataset/_/12801215}},doi={10.6084/m9.figshare.12801215},publisher={figshare},author={Schnappinger, Markus and Fietzke, Arnaud and Pretschner, Alexander},year={2020},month=sep,}
2019
Learning a classifier for prediction of maintainability based on static analysis tools
Markus Schnappinger, Mohd Hafeez Osman, Alexander Pretschner, and 1 more author
In Proceedings of the 27th International Conference on Program Comprehension (ICPC), Sep 2019
@inproceedings{schnappinger2019learning,title={Learning a classifier for prediction of maintainability based on static analysis tools},author={Schnappinger, Markus and Osman, Mohd Hafeez and Pretschner, Alexander and Fietzke, Arnaud},booktitle={Proceedings of the 27th International Conference on Program Comprehension (ICPC)},pages={243--248},year={2019},organization={IEEE},}
2018
Software quality assessment in practice: a hypothesis-driven framework
Markus Schnappinger, Mohd Hafeez Osman, Alexander Pretschner, and 2 more authors
In Proceedings of the 12th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM), Sep 2018
@inproceedings{schnappinger2018software,title={Software quality assessment in practice: a hypothesis-driven framework},author={Schnappinger, Markus and Osman, Mohd Hafeez and Pretschner, Alexander and Pizka, Markus and Fietzke, Arnaud},booktitle={Proceedings of the 12th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM)},pages={40},year={2018},organization={ACM},}
In addition, I received honorable mentions for contributions by:
Aldenhoven, Celine; Engelschall, Ralf S.: The beauty of software architecture, International Conference on Software Architecture (ICSA), 2023
Elsner, Daniel; Hauer, Florian; Pretschner, Alexander; Reimer, Silke: Empirically Evaluating Readily Available Information for Regression Test Optimization in Continuous Integration, International Symposium on Software Testing and Analysis (ISSTA), 2021
Lipp, Stephan; Banescu, Sebastian; Pretschner, Alexander: An empirial study on the effectivness of static C code analyzers for vulnerability detection, International Symphosium on Software Testing and Analysis (ISSTA), 2022