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Auflistung nach Autor:in "Linsbauer, Lukas"

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  • ConferencePaper
    Automated Reuse of Test Cases for Highly Configurable Software Systems
    (Software Engineering 2021, 2021) Fischer, Stefan; Michelon, Gabriela Karoline; Ramler, Rudolf Ramler; Linsbauer, Lukas; Egyed, Alexander
    In this work, we report about our research results initially published in the journal Empirical Software Engineering, volume 25, issue 6, pp. 5295–5332, November 2020, https://doi.org/10.1007/s10664-020-09884-x. We performed experiments on test reusability across configurations of highly configurable software systems. First, we used manually written tests for specific configurations of three configurable systems and investigated how changing configuration options affects these tests. Subsequently, we applied an approach developed for automated reuse, ECCO (Extraction and Composition for Clone-and-Own), to automatically generate tests for new configurations from the existing, manually written tests. The experiments showed that our generated tests had a higher or equal success rate compared to direct reuse and they generally achieved a higher code coverage. It can be concluded that automating the reuse of tests for configurable software can substantially reduce the effort for adapting existing tests and it supports a rigorous testing process.
  • Konferenzbeitrag
    Enhancing clone-and-own with systematic reuse for developing software variants
    (Software Engineering 2016, 2016) Fischer, Stefan; Linsbauer, Lukas; Lopez-Herrejon, Roberto E.; Egyed, Alexander
  • Konferenzbeitrag
    Feature Trace Recording - Summary
    (Software Engineering 2022, 2022) Bittner, Paul Maximilian; Schultheiß, Alexander; Thüm, Thomas; Kehrer, Timo; Young, Jeffrey M.; Linsbauer, Lukas
    In this work, we report about recent research on Feature Trace Recording, originally published at the Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE) 2021. Tracing requirements to their implementation is crucial to all stakeholders of a software development process. When managing software variability, requirements are typically expressed in terms of features, a feature being a user-visible characteristic of the software. While feature traces are fully documented in software product lines, ad-hoc branching and forking, known as clone-and-own, is still the dominant way for developing multi-variant software systems in practice. Retroactive migration to product lines suffers from uncertainties and high effort because knowledge of feature traces must be recovered but is scattered across teams or even lost. We propose a semi-automated methodology for recording feature traces proactively, during software development when the necessary knowledge is present. To support the ongoing development of previously unmanaged clone-and-own projects, we explicitly deal with the absence of domain knowledge for both existing and new source code. We evaluate feature trace recording by replaying code edit patterns from the history of two real-world product lines. Our results show that feature trace recording reduces the manual effort to specify traces.