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Auflistung nach Schlagwort "feature traceability"

1 - 4 von 4
  • Konferenzbeitrag
    Classifying Edits to Variability in Source Code - Summary
    (Software Engineering 2023, 2023) Bittner, Paul Maximilian; Tinnes, Christof; Schultheiß, Alexander; Viegener, Sören; Kehrer, Timo; Thüm, Thomas
    We report about recent research on edit classification in configurable software, originally published at the 30th Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE) 2022 [Bi22]. For highly configurable software systems, such as the Linux kernel, maintaining and evolving variability information along changes to source code poses a major challenge. While source code itself may be edited, also feature-to-code mappings may be introduced, removed, or changed. In practice, such edits are often conducted ad-hoc and without proper documentation. To support the maintenance and evolution of variability, it is desirable to understand the impact of each edit on the variability. We propose the first complete and unambiguous classification of edits to variability in source code by means of a catalog of edit classes. This catalog is based on a scheme that can be used to build classifications that are complete and unambiguous by construction. To this end, we introduce a complete and sound model for edits to variability. In about 21.5 ms per commit, we validate the correctness, relevance, and suitability of our classification by classifying each edit in 1.7 million commits in the change histories of 44 open-source software systems automatically.
  • Konferenzbeitrag
    Effects of Explicit Feature Traceability on Program Comprehension
    (Software Engineering 2020, 2020) Krüger, Jacob; Çalıklı, Gül; Berger, Thorsten; Leich, Thomas; Saake, Gunter
    This abstract is based on our paper with the homonymous title published at the Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE) 2019.
  • Konferenzbeitrag
    Feature Modeling and Development with FeatureIDE
    (Modellierung 2018, 2018) Thüm, Thomas; Leich,Thomas; Krieter, Sebastian
    FeatureIDE is an open-source framework to model, develop, and analyze feature-oriented software product lines. It is mainly developed in a cooperation between TU Braunschweig, University of Magdeburg, and Metop GmbH. Nevertheless, many other institutions contributed to it in the past decade. Goal of this tutorial is to illustrate how FeatureIDE can be used to develop software around end-user features. We will show how feature models are connected to and synchronized with other artifacts. The hands-on tutorial will be highly interactive and is devoted to practitioners facing problems with variability, lecturers teaching product lines, and researchers who want to safe resources in building product-line tools.
  • 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.