Requirements modeling languages for software product lines: A systematic literature review

Sepúlveda, Samuel; Cravero, Ania; Luján-Mora, Sergio

doi:10.1016/j.infsof.2015.08.007

Cited by 35 publications

(22 citation statements)

References 69 publications

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“…Sepúlveda, Cravero and Cachero [28] pointed out that 88% of SLR whose papers did not consider the possible threats to validity. Trying to mitigate possible bias in excluding relevant papers, a non-systematic search was used as the basis for defining the adopted protocol, as pointed out in Section 2.1.…”

Section: Limitations and Drawbacksmentioning

confidence: 99%

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Core Foundations that Support the Mobile App Ecosystems

Pontes¹,

Silva²,

Alencar³

et al. 2017

JSW

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Business transformation through Information Technology has been widely discussed. Nowadays, thanks to the growing number of smartphones, these changes are frequent, and knowledge becomes increasingly more valuable, and to that end, a whole new economic approach take place. The present paper aims to identify new research opportunities motivated by the growth of mobile solutions. It implements a Systematic Literature Review (SLR) in order to understand which are the Core Foundations of the Mobile App Ecosystem, pointing out the current situation of this research area and further strengthening the debate on the most relevant views of this ecosystem. This SLR includes primary studies listed from 2011 through 2016, resulting in a total of 1052 candidate publications, among which 30 publications were selected after a screening process. This paper concludes that academic community research is focused on four topics found within the selected papers, that should describe the Core Foundations of Mobile App Ecosystem: User, Developer, Store, and Publicity. This paper also shows a relationship graph between the selected publications, illustrating the representativeness of these works in this area. It also points out the locations where the Mobile App Ecosystem researches are being conducted. Furthermore, this SLR shows that there is a clear lack of works that combine these four core foundations.

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Section: Limitations and Drawbacksmentioning

confidence: 99%

“…The main discussed subjects in mobile app ecosystem. Figure 5 shows a word cloud extracted through paper abstracts, as proposed by Sepúlveda, Cravero and Cachero [28]. Through this word cloud, can be extracted a first impression of the subjects addressed by the 30 selected papers.…”

Section: Journal Of Softwarementioning

confidence: 99%

Core Foundations that Support the Mobile App Ecosystems

Pontes¹,

Silva²,

Alencar³

et al. 2017

JSW

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“…The need for supporting PLE in the context of use case-driven development has already been acknowledged and many product line use case modeling and configuration approaches have been proposed in the literature (e.g., Eriksson et al, 2005;Eriksson et al, 2004;Fantechi et al, 2004a;Fantechi et al, 2004b;Czarnecki and Antkiewicz, 2005;Alférez et al, 2009 ). Most of the existing approaches rely on feature modeling, including establishing and maintaining traces between features and use case models ( Sepulveda et al, 2016;Santos et al, 2015 ). The analysts should capture variability information as features, and establish traces between feature and use case models to model variability in use cases.…”

Section: Introductionmentioning

confidence: 99%

Change Impact Analysis for Evolving Configuration Decisions in Product Line Use Case Models

Hajri

Göknil

Briand

et al. 2019

2019 IEEE/ACM 10th International Symposium on Software and Systems Traceability (SST)

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Product Line Engineering is becoming a key practice in many software development environments where complex systems are developed for multiple customers with varying needs. In many business contexts, use cases are the main artifacts for communicating requirements among stakeholders. In such contexts, Product Line (PL) use cases capture variable and common requirements while use case-driven configuration generates Product Specific (PS) use cases for each new customer in a product family. In this paper, we propose, apply, and assess a change impact analysis approach for evolving configuration decisions in PL use case models. Our approach includes: (1) automated support to identify the impact of decision changes on prior and subsequent decisions in PL use case diagrams and (2) automated incremental regeneration of PS use case models from PL use case models and evolving configuration decisions. Our tool support is integrated with IBM Doors. Our approach has been evaluated in an industrial case study, which provides evidence that it is practical and beneficial to analyze the impact of decision changes and to incrementally regenerate PS use case models in industrial settings.

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“…The output document yielded when applying the SLR process on primary studies is called secondary study, while applying it on secondary studies is called tertiary study. To quote just a few examples, authors in Sepúlveda et al (2016), Tahir et al (2016), and Torrecilla-Salinas et al (2016) document secondary studies on diverse topics in SE, while the authors in Garousi & Mäntylä (2016) and Kitchenham et al (2010b) report tertiary studies. Very often researchers have reused the procedures and guidelines proposed in Kitchenham (2004), which first were reviewed by Biolchini et al (2005), and later updated by Kitchenham and her colleagues in 2007(Brereton et al 2007, Kitchenham & Charters 2007.…”

Section: Introductionmentioning

confidence: 99%

Specifying the Process Model for Systematic Reviews: An Augmented Proposal

Olsina¹,

Becker²,

Peppino³

et al. 2019

JSERD

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Context: Systematic Literature Review (SLR) is a research methodology intended to obtain evidence from scientific articles stored in digital libraries. SLRs can be performed on primary and secondary studies. Although there are guidelines to the SLR process in Software Engineering, the SLR process is not fully and rigorously specified yet. Moreover, it can often be observed a lack of a clear separation of concerns between what to do (process) and how to do it (methods). Objective: To specify the SLR process in a more detailed and rigorous manner by considering different process modeling perspectives, such as functional, behavioral, organizational and informational. The main objective in this work is specifying the SLR activities rather than their methods. Method: The SPEM (Software & Systems Process Engineering Metamodel) language is used to model the SLR process from different perspectives. In addition, we illustrate aspects of the proposed process by using a recently conducted SLR on software testing ontologies. Results: Our SLR process model specifications favor a clear identification of what task/activities should be performed, in which order, by whom, and which are the consumed and produced artifacts as well as their inner structures. Also, we explicitly specify activities related to the SLR pilot test, analyzing the gains. Conclusion: The proposed SLR process considers with higher rigor the principles and benefits of process modeling backing SLRs to be more systematic, repeatable and auditable for researchers and practitioners. In fact, the rigor provided by process modeling, where several perspectives are combined, but can also be independently detached, provides a greater richness of expressiveness in sequences and decision flows, while representing different levels of granularity in the work definitions, such as activity, sub-activity and task.

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Requirements modeling languages for software product lines: A systematic literature review

Cited by 35 publications

References 69 publications

Core Foundations that Support the Mobile App Ecosystems

Core Foundations that Support the Mobile App Ecosystems

Change Impact Analysis for Evolving Configuration Decisions in Product Line Use Case Models

Specifying the Process Model for Systematic Reviews: An Augmented Proposal

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