Evolution in software product lines: two cases

Svahnberg, Mikael; Bosch, Jan

doi:10.1002/(sici)1096-908x(199911/12)11:6<391::aid-smr199>3.0.co;2-8

Cited by 96 publications

(64 citation statements)

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“…Svahnberg and Bosch [14] have studied the evolution of two real software product lines, giving details on the evolution of the architecture and features, closely related to implementation. They also found that the most common type of changes to the product line is to add, improve or update functionality.…”

Section: Related Workmentioning

confidence: 99%

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Evolution of the Linux Kernel Variability Model

Lotufo

She

Berger

et al. 2010

Lecture Notes in Computer Science

104

111

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Abstract. Understanding the challenges faced by real projects in evolving variability models, is a prerequisite for providing adequate support for such undertakings. We study the evolution of a model describing features and configurations in a large product line-the Linux kernel variability model. We analyze this evolution quantitatively and qualitatively. Our primary finding is that the Linux kernel model appears to evolve surprisingly smoothly. In the analyzed period, the number of features had doubled, and still the structural complexity of the model remained roughly the same. Furthermore, we provide an in-depth look at the effect of the kernel's development methodologies on the evolution of its model. We also include evidence about edit operations applied in practice, evidence of challenges in maintaining large models, and a range of recommendations (and open problems) for builders of modeling tools.

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Section: Related Workmentioning

confidence: 99%

“…They discuss techniques, processes and tool support needed to make the transition. These works, like [14], focus on product line evolution, not the model, but also suggest that tool support is essential.…”

Section: Related Workmentioning

confidence: 99%

Evolution of the Linux Kernel Variability Model

Lotufo

She

Berger

et al. 2010

Lecture Notes in Computer Science

104

111

View full text Add to dashboard Cite

show abstract

“…Despite its importance, comparably few publications discuss product line evolution, e.g., [36,62,162,212]. Managing evolution however is success-critical, especially in modelbased product line approaches to ensure consistency after changes to meta-models, models, and actual development artifacts.…”

Section: Evolution Of Diverse Systemsmentioning

confidence: 99%

Software diversity: state of the art and perspectives

Schaefer

Rabiser²,

Clarke

et al. 2012

Int J Softw Tools Technol Transfer

137

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Abstract. Diversity is prevalent in modern software systems to facilitate adapting the software to customer requirements or the execution environment. Diversity has an impact on all phases of the software development process. Appropriate means and organizational structures are required to deal with the additional complexity introduced by software variability. This introductory article to the special section "Software Diversity -Modeling, Analysis and Evolution" provides an overview of the current state of the art in diverse systems development and discusses challenges and potential solutions. The article covers requirements analysis, design, implementation, verification and validation, maintenance and evolution as well as organizational aspects. It also provides an overview of the articles which are part of this special section and address particular issues of diverse systems development.

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“…Moreover, the measures proposed by Zhang et al [61] measure the complexity of product line architecture by considering variability. Finally, the evolution of a SPL [54] is driven by changes in the requirements on the products in the family, and this is partially represented by the modifiability characteristic. In SQuaRE [26], modifiability is a subcharacteristic of maintainability that represents the degree to which a product or system can be effectively and efficiently modified without introducing defects or degrading existing product quality.…”

Section: Criterion 1 Quality Characteristic Evaluated By the Measurementioning

confidence: 99%

A systematic review of quality attributes and measures for software product lines

2011

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It is widely accepted that software measures provide an appropriate mechanism for understanding, monitoring, controlling and predicting the quality of software development projects. In Software Product Lines (SPL), quality is even more important than in a single software product since, owing to systematic reuse, a fault or an inadequate design decision could be propagated to several products in the family. Over the last few years, a great number of quality attributes and measures for assessing the quality of SPL have been reported in literature. However, no studies summarizing the current knowledge about them exist. This paper presents a systematic literature review with the objective of identifying and interpreting all the available studies from 1996 to date that present quality attributes and/or measures for SPL. These attributes and measures have been classified using a set of criteria that includes the life cycle phase in which the measures are applied; the corresponding quality characteristics; their support for specific SPL characteristics (e.g., variability, compositionality); the procedure used to validate the measures, etc. We found 165 measures related to 98 different quality attributes. The results of the review indicated that 92% of the measures evaluate attributes that are related to maintainability. In addition, 67% of the measures are used during the design phase of Domain Engineering, and 56% are applied to evaluate the product line architecture. However, only 25% of them have been empirically validated.In conclusion, the results provide a global vision of the state of the research within this area in order to help researchers in detecting weaknesses, directing research efforts, and identifying new research lines. In particular, there is a need for new measures with which to evaluate both the quality of the artifacts produced during the entire SPL life cycle and other quality characteristics. There is also a need for more validation (both theoretical and empirical) of existing measures. In addition, our results may be useful as a reference guide for practitioners to assist them in the selection or the adaptation of existing measures for evaluating their software product lines.

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Evolution in software product lines: two cases

Cited by 96 publications

References 0 publications

Evolution of the Linux Kernel Variability Model

Evolution of the Linux Kernel Variability Model

Software diversity: state of the art and perspectives

A systematic review of quality attributes and measures for software product lines

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