A Brazilian survey on UML and model-driven practices for embedded software development

Agner, Luciane Telinski Wiedermann; Soares, Inali Wisniewski; Stadzisz, Paulo Cézar; Simão, Jean Marcelo

doi:10.1016/j.jss.2012.11.023

Cited by 61 publications

(67 citation statements)

References 13 publications

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“…Other recent, but less closely related, software engineering surveys include the practices used in the Turkish software industry (Garousi et al 2015), the use of modelling in the Italian software industry (Torchiano et al 2013), the use of UML modelling for the design of embedded software in Brazil (Agner et al 2013), testing practices used in the Canadian software industry (Garousi and Zhi 2013), the data and analysis needs of developers and managers at Microsoft (Buse and Zimmermann 2012) and the use of software design models in practice, in particular UML (Gorschek et al 2014).…”

Section: Software Engineering Surveysmentioning

confidence: 99%

Recognising object-oriented software design quality: a practitioner-based questionnaire survey

Stevenson

Wood

2017

Software Qual J

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Design quality is vital if software is to be maintainable. What practices do developers actually use to achieve design quality in their day-to-day work and which of these do they find most useful? To discover the extent to which practitioners concern themselves with object-oriented design quality and the approaches used when determining quality in practice, a questionnaire survey of 102 software practitioners, approximately half from the UK and the remainder from elsewhere around the world was used. Individual and peer experience are major contributors to design quality. Classic design guidelines, well-known lower level practices, tools and metrics all can also contribute positively to design quality. There is a potential relationship between testing practices and design quality. Inexperience, time pressures, novel problems, novel technology, and imprecise or changing requirements may have a negative impact on quality. Respondents with most experience are more confident in their design decisions, place more value on reviews by team leads and are more likely to rate design quality as very important. For practitioners, these results identify the techniques and tools that other practitioners find effective. For researchers, the results highlight a need for more work investigating the role of experience in the design process and the contribution experience makes to quality. There is also the potential for more in-depth studies of how practitioners are actually using design guidance, including Clean Code. Lastly, the potential relationship between testing practices and design quality merits further investigation.

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Section: Software Engineering Surveysmentioning

confidence: 99%

Recognising object-oriented software design quality: a practitioner-based questionnaire survey

Stevenson

Wood

2017

Software Qual J

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“…Figure 1 (adopted from [4]) depicts these concepts. Although there have been a few prior surveys related to modeling in the embedded software industry (e.g., [5][6][7]), they have either focused on only one aspect of modeling, (e.g., the use of Unified Modeling Language (UML)) or the use of formal models, or modeling in regional contexts (e.g., in Brazil or in Greece). There are also surveys, whose participants were involved with model-based techniques on a single sub-domain of embedded systems (i.e., the automotive industry [5]).…”

Section: A Terminology: Mbe Versus Mde and Mddmentioning

confidence: 99%

Cross-factor analysis of software modeling practices versus practitioner demographics in the embedded software industry

Akdur

Garousi

Demirörs

2017

2017 6th Mediterranean Conference on Embedded Computing (MECO)

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Abstract-Software-intensive embedded systems have evolved to be essential tools of our lives. To cope with growing complexities in embedded software industry, software modeling and modeldriven engineering (MDE) have become popular for design, development and testing of these systems. However, the usage of models in embedded software industry and the relevant practices usually vary since challenges, requirements and purposes differ among systems as well as among sectors. To understand the stateof-the-practice of software modeling in embedded systems industry, we designed and conducted a world-wide survey, which accepted 627 responses from 27 different countries. The goal of this paper is to present our work built on this survey to better understand and characterize the cross-factor analysis of software modeling versus practitioner demographics, e.g., degree of using software modeling versus target sectors of the products.

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“…However, for the industrial context, specialized websites (grey literature 12 ) make significant contributions to the quality from a practitioners' perspective. We found 49 industrial MDE Quality evidence in industry MDE Quality evidence in academic & research Industrial issue 01 (Vara and Marcos, 2012;Cuadrado et al, 2014;Hutchinson et al, 2014;Bertrand Portier, 2009;Haan, 2008;Whittle et al, 2014;Dubray, 2011;Linders, 2015;Tone, 2010;Finnie, 2015;Klinke, 2008;Vallecillo, 2014;Hebig and Bendraou, 2014;Brown, 2009;DenHaan, 2009DenHaan, , 2011bPierson, 2007;Cabot, 2009;Brambilla, 2016;OMG, 2016;Mohagheghi et al, 2009b;Igarza et al, 2012;Clark and Muller, 2012;Whittle et al, 2015;Aranda et al, 2012;Baker et al, 2005;Whittle et al, 2013;Cuadrado et al, 2014;Hoang, 2012;Platania, 2016;Fournier, 2008) (Agner et al, 2013;Panach et al, 2015a;Davies et al, 2006;Mussbacher et al, 2014;Quintero and Muñoz, 2011;Quintero et al, 2012;Poruban et al, 2014;Bruel et al, 2015;…”

Section: Findings In the Literature Review Of Mismatchmentioning

confidence: 99%

Considerations about quality in model-driven engineering

et al. 2016

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Giraldo-Velásquez, FD.; España Cubillo, S.; Pastor López, O.; Giraldo, WJ. (2016). Considerations about quality in model-driven engineering. Software Quality Journal. 1-66. doi:10.1007/s11219-016-9350-6. Considerations about quality in model-driven engineeringCurrent state and challenges.Fáber D. Giraldo · Sergio España · Oscar Pastor · William J. GiraldoReceived: date / Accepted: date Abstract The virtue of quality is not itself a subject; it depends on a subject. In the software engineering field, quality means good software products that meet customer expectations, constraints, and requirements. Despite the numerous approaches, methods, descriptive models and tools, that have been developed, a level of consensus has been reached by software practitioners. However, in the modeldriven engineering (MDE) field, which has emerged from software engineering paradigms, quality continues to be a great challenge since the subject is not fully defined. The use of models alone is not enough to manage all of the quality issues at the modelling language level.In this work, we present the current state and some relevant considerations regarding quality in MDE, by identifying current categories in quality conception and by highlighting quality issues in real applications of the model-driven initiatives.We identified sixteen categories in the definition of quality in MDE. From this identification, by applying an adaptive sampling approach, we discovered the five most influential authors for the works that propose definitions of quality. These include (in order): the OMG standards (e.g., MDA, UML, MOF, OCL, SysML), the ISO standards for software quality models (e.g., 9126 and 25000), Krogstie, Lindland, and Moody. We also discovered families of works about quality, i.e., works that belong to the same author or topic.Seventy-three works were found with evidence of the mismatch between the academic/research field of quality evaluation of modelling languages and actual MDE practice in industry. We demonstrate that this field does not currently solve quality issues reported in industrial scenarios. The evidence of the mismatch was grouped in eight categories, four for academic/research evidence and four for industrial reports. These categories were detected based on the scope proposed in each one of the academic/research works and from the questions and issues raised by real practitioners.We then proposed a scenario to illustrate quality issues in a real information system project in which multiple modelling languages were used. For the evaluation of the quality of this MDE scenario, we chose one of the most cited and influential quality frameworks; it was detected from the information obtained in the identification of the categories about quality definition for MDE. We demonstrated that the selected framework falls short in addressing the quality issues. Finally, based on the findings, we derive eight challenges for quality evaluation in MDE projects that current quality initiatives do not address sufficiently.

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A Brazilian survey on UML and model-driven practices for embedded software development

Cited by 61 publications

References 13 publications

Recognising object-oriented software design quality: a practitioner-based questionnaire survey

Recognising object-oriented software design quality: a practitioner-based questionnaire survey

Cross-factor analysis of software modeling practices versus practitioner demographics in the embedded software industry

Considerations about quality in model-driven engineering

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