Variants and Versions Management for Models with Integrated Consistency Preservation

Ananieva, Sofia; Klare, Heiko; Bürger, Erik; Reussner, Ralf

doi:10.1145/3168365.3168377

Cited by 10 publications

(4 citation statements)

References 19 publications

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“…VaVe (Ananieva et al 2018) integrates the management of VAriants (space) and VErsions (time). It builds on VITRUVIUS (Klare et al 2021;Kramer et al 2013), a view-based framework that supports consistent system development by providing multiple languages to preserve consistency between views.…”

Section: Tools For Variability In Space and Timementioning

confidence: 99%

Towards Automatic Parsing of Structured Visual Content through the Use of Synthetic Data

Scholch

Steinhauser

Beichter

et al. 2022

2022 26th International Conference on Pattern Recognition (ICPR)

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With the increasing demand for customized systems and rapidly evolving technology, software engineering faces many challenges. A particular challenge is the development and maintenance of systems that are highly variable both in space (concurrent variations of the system at one point in time) and time (sequential variations of the system, due to its evolution). Recent research aims to address this challenge by managing variability in space and time simultaneously. However, this research originates from two different areas, software product line engineering and software configuration management, resulting in nonuniform terminologies and a varying understanding of concepts. These problems hamper the communication and understanding of involved concepts, as well as the development of techniques that unify variability in space and time. To tackle these problems, we performed an iterative, expert-driven analysis of existing tools from both research areas to derive a conceptual model that integrates and unifies concepts of both dimensions of variability. In this article, we first explain the construction process and present the resulting conceptual model. We validate the model and discuss its coverage and granularity with respect to established concepts of variability in space and time. Furthermore, we perform a formal concept analysis to discuss the commonalities and differences among the tools we considered. Finally, we show illustrative applications to explain how the conceptual model can be used in practice to derive conforming tools. The conceptual model unifies concepts and relations used in software product line engineering and software configuration management, provides a unified terminology and common ground for researchers and developers for comparing their works, clarifies communication, and prevents redundant developments.

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Section: Tools For Variability In Space and Timementioning

confidence: 99%

Towards Automatic Parsing of Structured Visual Content through the Use of Synthetic Data

Scholch

Steinhauser

Beichter

et al. 2022

2022 26th International Conference on Pattern Recognition (ICPR)

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“…The right side of the model covers concepts of the problem space (i.e., domain abstraction), while the left side covers concepts of the solution space (i.e., the implementation) [46]. ---SiPL [24,43,44] --SVN [45] ---Git [34] ---SuperMod [52,53] -DarwinSPL [40] -DeltaEcore [54,55] -ECCO [15,16,31] --VaVe [3] of either variability in space, time, or both (i.e., Unified System, Option, Mapping, Configuration, Fragment, and Product).…”

Section: Variability Dimensionsmentioning

confidence: 99%

Unified Operations for Variability in Space and Time

Ananieva

Greiner

Krueger

et al. 2022

Proceedings of the 16th International Working Conference on Variability Modelling of Software-Intensive Systems

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Software and systems engineering is challenged by variability in space (concurrent variations at a single point in time) and time (sequential variations due to evolution). Managing both dimensions of variability independently is cumbersome and error-prone. A common foundation for operations on these dimensions is still missing, hampering the comparison and integration of existing techniques coping with variability in space and time as well as the design of new ones. In this paper, we address this problem by systematically identifying, categorizing, and unifying operations from contemporary tools and extending them to cope with both variability dimensions. Based on our gained insights, we identify gaps and trade-offs in current tools for managing variability in space and time, and discuss open challenges. The unified operations establish a common foundation that helps researchers and practitioners to gain a deeper understanding of existing techniques and tools for managing variability in space and/or time, analyze and compare them, and design new ones. CCS CONCEPTS• Software and its engineering → Software version control; Software product lines; Software configuration management and version control systems.

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“…SPL evolution is a widely investigated area [9,23,32] with work on modeling and performing evolutionary modifications to an FM [22,40,54,59], its associated realization artifacts [28,50] or both [27,56,60]. A range of tools tackles selected areas of SPL evolution, e.g., DeltaEcore [62], ECCO [14], SuperMod [57,58], VaVe [4], SiPL [49], EvoFM [10,11], EvoPL [9,55] or DarwinSPL [41]. Recently, there have also been first attempts to harmonize modeling of SPL evolution by integrating [17] or abstracting from [3] various of the different underlying notations.…”

Section: Related Workmentioning

confidence: 99%

Consistency-preserving evolution planning on feature models

Hoff

Nieke

Seidl

et al. 2020

Proceedings of the 24th ACM Conference on Systems and Software Product Line: Volume a - Volume A

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A software product line (SPL) enables large-scale reuse in a family of related software systems through configurable features. SPLs represent a long-term investment so that their ongoing evolution becomes paramount and requires careful planning. While existing approaches enable to create an evolution plan for an SPL on feature-model (FM) level, they assume the plan to be rigid and do not support retroactive changes. In this paper, we present a method that enables to create and retroactively adapt an FM evolution plan while preventing undesired impacts on its structural and logical consistency. This method is founded in structural operational semantics and linear temporal logic. We implement our method using rewriting logic, integrate it within an FM tool suite and perform an evaluation using a collection of existing FM evolution scenarios. CCS CONCEPTS• Software and its engineering → Software product lines; Software evolution; Software notations and tools.

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Variants and Versions Management for Models with Integrated Consistency Preservation

Cited by 10 publications

References 19 publications

Towards Automatic Parsing of Structured Visual Content through the Use of Synthetic Data

Towards Automatic Parsing of Structured Visual Content through the Use of Synthetic Data

Unified Operations for Variability in Space and Time

Consistency-preserving evolution planning on feature models

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