Using pure::variants across the product line lifecycle

Beuche, Danilo; Hellebrand, Robert

doi:10.1145/2791060.2791114

Cited by 6 publications

(11 citation statements)

References 2 publications

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“…All these solutions or practices to variability management work very well within the context they were developed for; however, they do not follow any particular product line engineering approach. We were only able to identify two commercial tools developed for product line variability management, namely, pure::variants [Beuche 2016] and Gears [Krueger and Clements 2014].…”

Section: Rq1: What Tools Have Been Developed To Manage Variability Inmentioning

confidence: 99%

“…pure::variants [Beuche 2016] is developed by pure-systems GmbH in Magdeburg, Germany. The tool supports variant management and product configuration based on feature models and has a strong focus on interoperability and extensibility.…”

Section: Rq2: What Are the Characteristics Of These Tools?mentioning

confidence: 99%

“…They identified 12 tools through an unsystematic search (we cover most of them on our SLR) but only analyzed four tools in detail based on their availability. These four tools were RequiLine [S26], pure::variants [Beuche 2016], XFeature [S6] and DOORS-TREK (an add-on to IBM Rational DOORS) [DOORS-TREK]. Djebbi et al (2007) describe these tools and discuss the support of these tools for variability modeling as well as the support for management (such as reporting capabilities) they provide.…”

Section: Rq2: What Are the Characteristics Of These Tools?mentioning

confidence: 99%

“…Respondents could select from 10 particular tools or specify an open answer. pure::variants [Beuche 2016] was the most used tool, followed by Gears [Krueger and Clements 2014]. From the tools we identified in our SLR, FeatureIDE [S15], DOPLER [S12], X-Feature [S6], and AHEAD [S3] were the only ones mentioned by respondents.…”

Section: Rq2: What Are the Characteristics Of These Tools?mentioning

confidence: 99%

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CASE Tool Support for Variability Management in Software Product Lines

et al. 2017

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Software product lines (SPL) aim at reducing time-to-market and increasing software quality through extensive, planned reuse of artifacts. An essential activity in SPL is variability management, i.e., defining and managing commonality and variability among member products. Due to the large scale and complexity of today's software-intensive systems, variability management has become increasingly complex to conduct. Accordingly, tool support for variability management has been gathering increasing momentum over the last few years and can be considered a key success factor for developing and maintaining SPLs.While several studies have already been conducted on variability management, none of these analyzed the available tool support in detail. In this work, we report on a survey in which we analyzed 37 existing variability management tools identified using a systematic literature review to understand the tools' characteristics, maturity, and the challenges in the field. We conclude that while most studies on variability management tools provide a good motivation and description of the research context and challenges, they often lack empirical data to support their claims and findings. It was also found that quality attributes important for the practical use of tools such as usability, integration, scalability, and performance were out of scope for most studies. CCS Concepts: • General and reference → Surveys and overviews • Software and its engineering → Software product lines • Software and its engineering → Software notations and tools • Software and its engineering → Software configuration management and version control systems XX:2 • R. Bashroush et al.Defining and managing commonalities and variability in software product lines is widely referred to as variability management and is a key step of the SPL engineering process [van Gurp et al. 2001]. The variability management process guides the construction of product line variability models. Different types of variability models have been proposed, e.g., feature models, decision models, Orthogonal Variability Models (OVM), and UML-based approaches. In Section 1.1 we provide an overview of existing modeling approaches. For a detailed comparison and classification of variability modeling approaches we refer to [Czarnecki et al. 2012] and [Sinnema and Deelstra 2007]. Variability models define the commonalities and variability of the product line from a problem space (e.g., features, decisions, or variation points) and a solution space (e.g., the reusable assets or variants) perspective along with the relationships that exist between these two spaces and among the elements in these spaces. Example relationships include exclusivity (when two features cannot exist in one product at the same time); inclusivity (when the existence of one feature depends on another); and alternatives (when only one of a number of alternative features can be supported), to name a few. Variability models tend to be very large in size, in many cases comprising thousands of features, and comp...

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Section: Rq1: What Tools Have Been Developed To Manage Variability Inmentioning

confidence: 99%

Section: Rq2: What Are the Characteristics Of These Tools?mentioning

confidence: 99%

Section: Rq2: What Are the Characteristics Of These Tools?mentioning

confidence: 99%

Section: Rq2: What Are the Characteristics Of These Tools?mentioning

confidence: 99%

See 2 more Smart Citations

CASE Tool Support for Variability Management in Software Product Lines

et al. 2017

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“…For variability modeling in the design process, if statements can be expressed by using notes that are available on UML or SysML diagrams and by using OCL grammar constraints in general. Pure::variants presents feature trees to select each feature as an Add-in for IBM Rhapsody or Enterprise Architect [11].…”

Section: Pure::variantsmentioning

confidence: 99%

Integration Mechanism for Software Product Line Development and Management Workbench

Kim¹,

Yang²

2016

IJSEIA

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Empirical analysis of the tool support for software product lines

2022

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For the last ten years, software product line (SPL) tool developers have been facing the implementation of different variability requirements and the support of SPL engineering activities demanded by emergent domains. Despite systematic literature reviews identifying the main characteristics of existing tools and the SPL activities they support, these reviews do not always help to understand if such tools provide what complex variability projects demand. This paper presents an empirical research in which we evaluate the degree of maturity of existing SPL tools focusing on their support of variability modeling characteristics and SPL engineering activities required by current application domains. We first identify the characteristics and activities that are essential for the development of SPLs by analyzing a selected sample of case studies chosen from application domains with high variability. Second, we conduct an exploratory study to analyze whether the existing tools support those characteristics and activities. We conclude that, with the current tool support, it is possible to develop a basic SPL approach. But we have also found out that these tools present several limitations when dealing with complex variability requirements demanded by emergent application domains, such as non-Boolean features or large configuration spaces. Additionally, we identify the necessity for an integrated approach with appropriate tool support to completely cover all the activities and phases of SPL engineering. To mitigate this problem, we propose different road map using the existing tools to partially or entirely support SPL engineering activities, from variability modeling to product derivation.

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Using pure::variants across the product line lifecycle

Cited by 6 publications

References 2 publications

CASE Tool Support for Variability Management in Software Product Lines

CASE Tool Support for Variability Management in Software Product Lines

Integration Mechanism for Software Product Line Development and Management Workbench

Empirical analysis of the tool support for software product lines

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