Mega-scale product line engineering at General Motors

Flores, Rick; Krueger, Charles W.; Clements, Paul

doi:10.1145/2362536.2362571

Cited by 62 publications

(36 citation statements)

References 2 publications

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“…It is core to many software product line engineering (SPLE) methodologies used in research [6,18,36] and industry [21,15], and has received increasing attention over the last twenty years. Numerous techniques have been proposed in academia and industry, with a large number of different notations and tools available.…”

Section: Introductionmentioning

confidence: 99%

A survey of variability modeling in industrial practice

Berger

Rublack

Nair

et al. 2013

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

331

202

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Over more than two decades, numerous variability modeling techniques have been introduced in academia and industry. However, little is known about the actual use of these techniques. While dozens of experience reports on software product line engineering exist, only very few focus on variability modeling. This lack of empirical data threatens the validity of existing techniques, and hinders their improvement. As part of our effort to improve empirical understanding of variability modeling, we present the results of a survey questionnaire distributed to industrial practitioners. These results provide insights into application scenarios and perceived benefits of variability modeling, the notations and tools used, the scale of industrial models, and experienced challenges and mitigation strategies

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Section: Introductionmentioning

confidence: 99%

A survey of variability modeling in industrial practice

Berger

Rublack

Nair

et al. 2013

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

331

202

View full text Add to dashboard Cite

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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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“…The number of products that one can derive from a given SPL usually scales from thousands to billions or more [21] thus the existing analysis and verification techniques cannot be applied iteratively on every product of the family. The trend tends to adapt these techniques to feature-based approaches where every feature is analysed independently and then the per feature analysis results are combined to derive a conclusion on the entire SPL [17,22,31].…”

Section: A Tour Of Esterelmentioning

confidence: 99%

Scenario-based verification in presence of variability using a synchronous approach

Millo

Mallet

Coadou

et al. 2013

Front. Comput. Sci.

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This paper presents a new model of scenarios, dedicated to the specification and verification of system behaviours in the context of Software Product Lines. We draw our inspiration from some techniques that are mostly used in the hardware community, and we show how they could be applied to the verification of software components. We point out the benefits of synchronous languages and models to bridge the gap between both worlds.

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Mega-scale product line engineering at General Motors

Cited by 62 publications

References 2 publications

A survey of variability modeling in industrial practice

A survey of variability modeling in industrial practice

An SOA approach for automating software product line adoption

Scenario-based verification in presence of variability using a synchronous approach

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