Software product line testing – A systematic mapping study

Engström, Emelie; Runeson, Per

doi:10.1016/j.infsof.2010.05.011

Cited by 267 publications

(184 citation statements)

References 41 publications

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“…Since this parameter is general and independent from the research area, we reuse the comparison of research approaches proposed by Wieringa et al in [18]. We chose this comparison because (i) it has been widely used in various systematic mapping studies (e.g., in [3]) , and (ii) its categories are quite cost-effective to be identified [15].…”

Section: Results -Publication Trends (Rq1)mentioning

confidence: 99%

Research on Architecting Microservices: Trends, Focus, and Potential for Industrial Adoption

Francesco

Malavolta

Lago

2017

2017 IEEE International Conference on Software Architecture (ICSA)

231

106

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Abstract-Microservices are a new trend rising fast from the enterprise world. Even though the design principles around microservices have been identified, it is difficult to have a clear view of existing research solutions for architecting microservices.In this paper we apply the systematic mapping study methodology to identify, classify, and evaluate the current state of the art on architecting microservices from the following three perspectives: publication trends, focus of research, and potential for industrial adoption. More specifically, we systematically define a classification framework for categorizing the research on architecting microservices and we rigorously apply it to the 71 selected studies. We synthesize the obtained data and produce a clear overview of the state of the art. This gives a solid basis to plan for future research and applications of architecting microservices.

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Section: Results -Publication Trends (Rq1)mentioning

confidence: 99%

Research on Architecting Microservices: Trends, Focus, and Potential for Industrial Adoption

Francesco

Malavolta

Lago

2017

2017 IEEE International Conference on Software Architecture (ICSA)

231

106

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“…Several mapping studies have been published in software engineering [9], such as on the classification of techniques for test-set generation and selection [10], on software development effort and cost estimation [11], on the use of experimental studies [12], on object-oriented design [13] and the use of patterns [14], on the usage of UML diagrams [15], on the empirical evaluation of software requirements specifications techniques [16], on software product lines [17,18], and on domain-specific languages [19]. These mapping studies vary in the form of analysis and in the number of included publications (between 35 and 400).…”

Section: Related Workmentioning

confidence: 99%

A Systematic Mapping Study on Modeling for Industry 4.0

Wortmann

Combemale

Barais

2017

2017 ACM/IEEE 20th International Conference on Model Driven Engineering Languages and Systems (MODELS)

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Industry 4.0 is a vision of manufacturing in which smart, interconnected production systems optimize the complete value-added chain to reduce cost and time-to-market. At the core of Industry 4.0 is the smart factory of the future, whose successful deployment requires solving challenges from many domains. Model-based systems engineering (MBSE) is a key enabler for such complex systems of systems as can be seen by the increased number of related publications in key conferences and journals. This paper aims to characterize the state of the art of MBSE for the smart factory through a systematic mapping study on this topic. Adopting a detailed search strategy, 1466 papers were initially identified. Of these, 222 papers were selected and categorized using a particular classification scheme. Hence, we present the concerns addressed by the modeling community for Industry 4.0, how these are investigated, where these are published, and by whom. The resulting research landscape can help to understand, guide, and compare research in this field. In particular, this report identifies the Industry 4.0 challenges addressed by the modeling community, but also the challenges that seem to be less investigated.

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“…Various surveys deal with testing in SPLs; e.g., [16,30,25,8]. Delta tables leverage the idea of tabular notation to the specification of product lines.…”

Section: Related Workmentioning

confidence: 99%

A novel model-based testing approach for software product lines

et al. 2016

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A novel model-based testing approach for software product lines / Damiani, Ferruccio; Faitelson, David; Gladisch, Christoph; Tyszberowicz, Shmuel. -In: SOFTWARE AND SYSTEMS MODELING. -ISSN 1619-ISSN -1366-ISSN . -14:4(2017, pp. 1223-1251. Original Citation:A novel model-based testing approach for software product lines Abstract Model-based testing relies on a model of the system under test. FineFit is a framework for model-based testing of Java programs. In the FineFit approach, the model is expressed by a set of tables based on Parnas tables. A software product line is a family of programs (the products) with well-defined commonalities and variabilities that are developed by (re)using common artifacts. In this paper we address the issue of using the FineFit approach to support the development of correct software product lines. We specify a software product line as a specification product line where each product is a FineFit specification of the corresponding software product. The main challenge is to concisely specify the software product line while retaining the readability of the specification of a single system. To address this we used delta-oriented programming, a recently proposed flexible approach for implementing software product lines, and developed: (i) delta-tables as a means to apply the delta-oriented programming idea to the specification of software product lines; and (ii) DeltaFineFit as a novel model-based testing approach for software product lines.

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Software product line testing – A systematic mapping study

Cited by 267 publications

References 41 publications

Research on Architecting Microservices: Trends, Focus, and Potential for Industrial Adoption

Research on Architecting Microservices: Trends, Focus, and Potential for Industrial Adoption

A Systematic Mapping Study on Modeling for Industry 4.0

A novel model-based testing approach for software product lines

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