• Medientyp: Masterarbeit; Sonstige Veröffentlichung; E-Book; Elektronische Hochschulschrift
  • Titel: Towards a Universal Variability Language: Master's Thesis
  • Beteiligte: Engelhardt, Dominik [VerfasserIn]
  • Erschienen: Institut für Softwaretechnik und Fahrzeuginformatik, 2020
  • Umfang: 110 Seiten
  • Sprache: Englisch
  • DOI: https://doi.org/10.24355/dbbs.084-202008211051-0
  • Schlagwörter: master thesis ; SPL -- SPLE -- variability -- DSL -- textual language ; Veröffentlichung der TU Braunschweig
  • Entstehung:
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  • Beschreibung: While feature diagrams have become the de facto standard to graphically describe variability models in Software Product Line Engineering (SPLE), none of the many textual notations have gained widespread adoption. However, a common textual language would be beneficial for better collaboration and exchange between tools. The main goal of this thesis is to propose a language for this purpose, along with fundamental tool support. The language should meet the needs and preferences of the community, so it can attain acceptance and adoption, without becoming yet another variability language. Its guiding principles are simplicity, familiarity, and flexibility. These enable the language to be easy to learn and to integrate into different tools, while still being expressive enough to represent existing and future models. We incorporate general design principles for Domain-Specific Languages (DSLs), discuss usage scenarios collected by the community, analyze existing languages, and gather feedback directly through questionnaires submitted to the community. In the initial questionnaire, the community was in disagreement on whether to use nesting or references to represent the hierarchy. Thus, we presented two proposals to be compared side by side. Of those, the community clearly prefers the one using nesting, as determined by a second questionnaire. We call that proposal the Universal Variability Language (UVL). The community awards good ratings to this language, deems it suitable for teaching and learning, and estimates that it can represent most of the existing models. Evaluations reconsidering the requirements show that it enables the relevant scenarios and can support the editing of large-scale real-world feature models, such as the Linux kernel. We provide a small default library that can be used in Java, containing a parser and a printer for the language. We integrated it into the variability tool FeatureIDE, demonstrating its utility in quickly adding support for the proposed language. Overall, we can conclude that ...
  • Zugangsstatus: Freier Zugang
  • Rechte-/Nutzungshinweise: Namensnennung (CC BY)