Markus Schnappinger

According to our database1, Markus Schnappinger authored at least 10 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
On Machine Learning Assisted Software Maintainability Assessments.
PhD thesis, 2023

Revisiting Inter-Class Maintainability Indicators.
Proceedings of the IEEE International Conference on Software Analysis, 2023

2022
A Preliminary Study on Using Text- and Image-Based Machine Learning to Predict Software Maintainability.
Proceedings of the Software Quality: The Next Big Thing in Software Engineering and Quality, 2022

Build System Aware Multi-language Regression Test Selection in Continuous Integration.
Proceedings of the 44th IEEE/ACM International Conference on Software Engineering: Software Engineering in Practice, 2022

Probe-based Syscall Tracing for Efficient and Practical File-level Test Traces.
Proceedings of the IEEE/ACM International Conference on Automation of Software Test, 2022

2021
Efficient Platform Migration of a Mainframe Legacy System Using Custom Transpilation.
Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2021

Human-level Ordinal Maintainability Prediction Based on Static Code Metrics.
Proceedings of the EASE 2021: Evaluation and Assessment in Software Engineering, 2021

2020
Defining a Software Maintainability Dataset: Collecting, Aggregating and Analysing Expert Evaluations of Software Maintainability.
Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2020

2019
Learning a classifier for prediction of maintainability based on static analysis tools.
Proceedings of the 27th International Conference on Program Comprehension, 2019

2018
Software quality assessment in practice: a hypothesis-driven framework.
Proceedings of the 12th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, 2018


  Loading...