Automotive model-driven development and the challenge of variability

Schulze, Michael; Weiland, Jens; Beuche, Danilo

doi:10.1145/2362536.2362565

Cited by 12 publications

(3 citation statements)

References 4 publications

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“…This results in an increased reuse and reduced time to market as shown in several experiences (e.g. [16,9,22]). An SPL is particularly useful in environments where multiple software products share common parts and can be partially derived from them.…”

Section: Introductionmentioning

confidence: 93%

An SOA approach for automating software product line adoption

Parra¹,

Joya²,

Giral³

et al. 2014

Proceedings of the 29th Annual ACM Symposium on Applied Computing

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Nowadays, the software industry is faced with challenges regarding complexity, time to market, quality standards and evolution. To face those challenges, two strategies that are gaining interest both in academy and industry are Service Oriented Architecture (SOA) and Software Product Lines (SPL). While SOA aims at building applications from an orchestration of services, SPL consists in building a set of coreassets and a derivation strategy based on such assets. Adopting such approaches involves important challenges with regard to existing software artifacts that must be transformed in order to respect an architecture that focus on modularity and reuse. This paper presents an industrial experience of such transformation. We propose a non-intrusive reverse engineering process for the development of modular services obtained automatically from existing software artifacts, and a variability-driven derivation process to assembly products out of such services. To validate our approach, we have implemented the reverse engineering and derivation processes using real software JEE artifacts from a component framework of reusable functionalities in several different enterprise applications. The results show important benefits in terms of the development time and flexibility.

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Section: Introductionmentioning

confidence: 93%

An SOA approach for automating software product line adoption

Parra¹,

Joya²,

Giral³

et al. 2014

Proceedings of the 29th Annual ACM Symposium on Applied Computing

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“…It is interesting that nearly half of the approaches address runtime binding issues while five of them provide both design and runtime resolution support. Besides, Schulze et al [46] offer compile-time bindings for AUTOSAR. Although it is not explicitly mentioned in the paper (that is why we entered 'NA' to the corresponding cell), it can be inferred that [51] also supports compile-time bindings for Koala.…”

Section: Data Synthesismentioning

confidence: 99%

“…Besides, Schulze et al . [46] offer compile‐time bindings for AUTOSAR. Although it is not explicitly mentioned in the paper (that is why we entered ‘NA’ to the corresponding cell), it can be inferred that [51] also supports compile‐time bindings for Koala.…”

Section: Systematic Literature Reviewmentioning

confidence: 99%

Comparative analysis of variability modelling approaches in component models

Sülog̃lu¹,

Kaya

Karamanlıoğlu

et al. 2018

IET softw.

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The results of a systematic literature review conducted for variability modelling in software component models are analysed and presented here. A well-planned protocol guided the screening of 3230 papers that resulted in the identification of 55 papers. Reviewing these papers, 23 of them were considered as primary studies related to our research questions. A comparison framework is introduced to further understand, assess, and compare those selected papers. Observations about the important aspects of component models that support the variability capability are summarised. Prominent trends and approaches are discussed along with a comparative analysis of the component models. Only a few component models were found to be explicitly accommodating variability concerns. The identified variability modelling problems require further research for attaining better reuse capabilities.

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