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9 papers · 1 filter
Instance-Level Safety-Aware Fidelity of Synthetic Data and Its Calibration
Chih-Hong Cheng, Paul Stöckel, Xingyu Zhao
Modeling and calibrating the fidelity of synthetic data is paramount in shaping the future of safe and reliable self-driving technology by offering a cost-effective and scalable al…
Improving Software Engineering Research through Experimentation Workbenches
Klaus Schmid, Sascha El-Sharkawy, Christian Kröher
Experimentation with software prototypes plays a fundamental role in software engineering research. In contrast to many other scientific disciplines, however, explicit support for…
KernelHaven -- An Open Infrastructure for Product Line Analysis
Christian Kröher, Sascha El-Sharkawy, Klaus Schmid
KernelHaven is an open infrastructure for Software Product Line (SPL) analysis. It is intended both as a production-quality analysis tool set as well as a research support tool, e.…
MetricHaven -- More Than 23,000 Metrics for Measuring Quality Attributes of Software Product Lines
Sascha El-Sharkawy, Adam Krafczyk, Klaus Schmid
Variability-aware metrics are designed to measure qualitative aspects of software product lines. As we identified in a prior SLR \cite{El-SharkawyYamagishi-EichlerSchmid19}, there…
Fast Static Analyses of Software Product Lines -- An Example With More Than 42,000 Metrics
Sascha El-Sharkawy, Adam Krafczyk, Klaus Schmid
Context: Software metrics, as one form of static analyses, is a commonly used approach in software engineering in order to understand the state of a software system, in particular…
Reverse Engineering Code Dependencies: Converting Integer-Based Variability to Propositional Logic
Adam Krafczyk, Sascha El-Sharkawy, Klaus Schmid
A number of SAT-based analysis concepts and tools for software product lines exist, that extract code dependencies in propositional logic from the source code assets of the product…