Industry Survey of Product Lines Management Tools: Requirements, Qualities and Open Issues

Djebbi, Olfa; Salinesi, Camille; Fanmuy, Gauthier

doi:10.1109/re.2007.29

Cited by 26 publications

(14 citation statements)

References 8 publications

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“…To substantiate the findings of the paper, the working group has set up a website [2] where interested people can verify detailed results of the SLR. Although analysis of existing SPL management tools has been performed in previous studies [5,10,20,59,44], the purpose of these studies in a general way was to facilitate tool selection in the context of SPL. However, they were aimed at studying only tools very specifics or a small group of tools.…”

Section: Discussionmentioning

confidence: 99%

A Systematic Literature Review of Software Product Line Management Tools

Pereira

Constantino

Figueiredo

2014

Lecture Notes in Computer Science

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Abstract. Software Product Line (SPL) management is a key activity for software product line engineering. The idea behind SPL management is to focus on artifacts that are shared in order to support software reuse and adaptation. Gains are expected in terms of time to market, consistency across products, costs reduction, better flexibility, and better management of change requirements. In this context, there are many available options of SPL variability management tools. This paper presents and discusses the findings from a Systematic Literature Review (SLR) of SPL management tools. Our research method aimed at analyzing the available literature on SPL management tools and the involved experts in the field. This review provides insights (i) to support companies interested to choose a tool for SPL variability management that best fits their needs; (ii) to point out attributes and requirements relevant to those interested in developing new tools; and (iii) to help the improvement of the tools already available. As a direct result of this SLR, we identify gaps, such as the lack of industrial support during product configuration.

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Section: Discussionmentioning

confidence: 99%

A Systematic Literature Review of Software Product Line Management Tools

Pereira

Constantino

Figueiredo

2014

Lecture Notes in Computer Science

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“…Their work complements ours; however, our work is more focused on variability modeling practices and technology; furthermore, we also cover international and large-scale organizations. A tool survey by Djebbi et al [14] studies four variability modeling tools in order to compare their capabilities with 34 expectations from industry. The latter comprise modeling requirements, such as feature modeling concepts (e.g., a feature hierarchy, mandatory and optional features, cross-tree constraints).…”

Section: Related Workmentioning

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

333

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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“…Detailed processes for requirements modelling and guidance for requirements derivation are not sufficiently studied by the research community and are not handled by SPL tools [24]. In the SPL paradigm there is a consensus on the current need to pay greater attention to the product derivation process (see, for example, Käkölä and Dueñas' preface in [34]).…”

Section: Product Requirements Derivation In Software Product Linesmentioning

confidence: 99%