Formalizing distributed evolution of variability in information system ecosystems

Brummermann, Hendrik; Keunecke, Markus; Schmid, Klaus

doi:10.1145/2110147.2110149

Cited by 16 publications

(15 citation statements)

References 16 publications

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“…Together they allow to create all combinations in complex variability-rich ecosystems as discussed above. From the perspective of evolution the support for defaults seems very important as we discussed earlier in [13]. This is supported by the analysis of Savolainen et al [12].…”

Section: A Solution Approachsupporting

confidence: 67%

“…From an evolution perspective this entails that the management of defaults and their overriding needs to be adequately supported as part of the variability modeling approach [12]. In [13] we provided a calculus to support the handling of defaults in variability modeling which also includes default constraints. We could show that this provides the most adequate results for configuration for a wide range of ecosystem situations and identifies problems otherwise.…”

Section: How To Support Variability-rich Ecosystemsmentioning

confidence: 99%

“…Also defaults are supported as first-class citizens in the variability management approach, in order to simplify the evolution as discussed in [13].…”

Section: A Solution Approachmentioning

confidence: 99%

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Variability support for variability-rich software ecosystems

Schmid

2013

2013 4th International Workshop on Product LinE Approaches in Software Engineering (PLEASE)

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Lately, software ecosystems have generated a lot of attention as they are very important to modern software industry. Over the course of several research projects, we addressed the problem of variability-rich software ecosystems and their relation to software product lines in our research group. This paper summarizes some of the problems we identified and describes some solutions we created both on a conceptual level and implemented in a prototype tool environment.

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Section: A Solution Approachsupporting

confidence: 67%

Section: How To Support Variability-rich Ecosystemsmentioning

confidence: 99%

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Variability support for variability-rich software ecosystems

Schmid

2013

2013 4th International Workshop on Product LinE Approaches in Software Engineering (PLEASE)

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“…As stated in section II-B, we have to deal with external contributors who develop parts of the software "semiindependently" [11].…”

Section: B Separation Of Concerns: a Set Of Software Product Linesmentioning

confidence: 99%

Managing a Software Ecosystem Using a Multiple Software Product Line: A Case Study on Digital Signage Systems

Urli

Blay–Fornarino

Collet

et al. 2014

2014 40th EUROMICRO Conference on Software Engineering and Advanced Applications

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Abstract-With the advent of Web 2.0, the growth of developer teams and user communities increases the number of software ecosystems: software platforms developed and maintained in a decentralized way by external contributors. As complexity grows, these large software systems become more and more complex to manage and to adapt to specific user needs. In this paper, we report on a case study on the development of a digital signage software system called YourCast. Based on several years experience evolving YourCast from a single system to a mediumscale ecosystem, we show how organizing it as a multiple software product line helps in organizing the software platform, taming some management tasks for a growing community, and giving more capabilities to final users to build their own products.

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“…In [5] we discussed the problems arising from this distributed situation from an evolution perspective. In [6] we introduced a formal approach to merging configuration parts.…”

Section: Introductionmentioning

confidence: 99%

The feature pack approach

Keunecke

Brummermann

Schmid

2014

Proceedings of the Eighth International Workshop on Variability Modelling of Software-Intensive Systems

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In an information system ecosystem customers integrate features, which are independently developed and evolved by multiple organizations. These features need to work together although there is little to no coordination among developer organizations.The handling of such ecosystems becomes the more challenging, the more the solutions provided by the different parties are intertwined. In this paper, we propose to handle implementations on a per-feature basis, and introduce an approach towards this goal, which we call feature packs. We discuss the requirements on such an approach and emphasize in particular the kind of analysis relevant to ensure that the system resulting from a corresponding aggregation of feature packs works reliably. We also illustrate a realization of the approach using a real-world ecosystem case study.

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Formalizing distributed evolution of variability in information system ecosystems

Cited by 16 publications

References 16 publications

Variability support for variability-rich software ecosystems

Variability support for variability-rich software ecosystems

Managing a Software Ecosystem Using a Multiple Software Product Line: A Case Study on Digital Signage Systems

The feature pack approach

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