Co-evolution of models and feature mapping in software product lines

Seidl, Christoph; Heidenreich, Florian; Aßmann, Uwe

doi:10.1145/2362536.2362550

Cited by 50 publications

(48 citation statements)

References 12 publications

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“…Similarly, FM change patterns have been identified by Alves et al in [3] and Neves et al in [25]. In his study of the co-evolution of models and feature mapping [32], Seidl also describes a set of operations applied to FMs. Thüm et al [44] classify feature changes based on their impact on the possible products that can be generated from the FM-a change can increase or decrease the number of products that can be obtained from a product line.…”

Section: Related Workmentioning

confidence: 83%

“…For example, several studies describe practical SPL evolution scenarios related to FM changes [25,30,32], focusing mostly on addition and removal of features. An open question, however, is whether the changes commonly studied are also the most frequent ones on large scale systems.…”

Section: High-level View Of the Linux Fm Evolutionmentioning

confidence: 99%

“…In [32], Seidl proposes a classification of evolution scenarios on SPLs based on the impact of feature changes in the mapping between features and other models (class diagram), as a mean to preserve a consistent mapping between features and model elements. Furthermore, in the work of Neves et al on the safe evolution of SPLs [25], we can observe that the change scenarios described in this work intertwine evolution of the variability model and its implementation.…”

Section: Related Workmentioning

confidence: 99%

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Analysing the Linux kernel feature model changes using FMDiff

2015

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Evolving a large scale, highly variable system is a challenging task. For such a system, evolution operations often require to update consistently both their implementation and its feature model. In this context, the evolution of the feature model closely follows the evolution of the system. The purpose of this work is to show that fine-grained feature changes can be used to guide the evolution of the highly variable system. In this paper, we present an approach to obtain fine-grained feature model changes with its supporting tool "FMDiff". Our approach is tailored for Kconfig-based variability models and proposes a feature change classification detailing changes in features, their attributes and attribute values. We apply our approach to the Linux kernel feature model, extracting feature changes occurring in sixteen official releases. In contrast to previous studies, we found that feature modifications are responsible for most of the changes. Then, by taking advantage of the multi-platform aspect of the Linux kernel, we observe the effects of a feature change across the different architecture-specific feature models of the kernel. We found that between 10 and 50 % of feature changes impact all the architecture-specific feature

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Section: Related Workmentioning

confidence: 83%

Section: High-level View Of the Linux Fm Evolutionmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

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Analysing the Linux kernel feature model changes using FMDiff

2015

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“…Approaches to product line evolution [23,29] focus on scenarios such as merging and splitting product lines, and changing the feature set or the domain model. The aim is usually to create templates for manually evolving the product line in a safe way.…”

Section: Related Workmentioning

confidence: 99%

Migrating Automotive Product Lines: A Case Study

Famelis

Levi

Selim

et al. 2015

Theory and Practice of Model Transformations

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Abstract. Software Product Lines (SPL) are widely used to manage variability in the automotive industry. In a rapidly changing industrial environment, model transformations are necessary to aid in automating the evolution of SPLs. However, existing transformation technologies are not well-suited to handling industrial-grade variability in software artifacts. We present a case study where we "lift" a previously developed migration transformation so that it becomes applicable to realistic industrial product lines. Our experience indicates that it is both feasible and scalable to lift transformations for industrial SPLs.

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“…Request permissions from Permissions@acm.org. to evolve fms [10,26,19]. Various works deal with fms and their evolution.…”

Section: Introductionmentioning

confidence: 99%