Pragmatic Model-Driven Software Development from the Viewpoint of a Programmer: Teaching Experience

Porubãn, Jaroslav; Bacikova, Michaela; Chodarev, Sergej; Nosal, Milan

doi:10.15439/2014f266

Cited by 14 publications

(13 citation statements)

References 16 publications

(12 reference statements)

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“…w. RCX robots [4] -DSL engineering for mobile robot [5] ? -MDE of a communication system [6] --MDA and transformations [8] --Modeling CRUD applications [7] Agile MDE with NXT robots [9] ? Multiple projects w. ext.…”

Section: Related Case Studiesmentioning

confidence: 99%

“…The authors of [24] report on a teaching metamodelling and MDE tooling development using UML to up to 150 master students. A case study on teaching 'pragmatic' MDE [8] to a group of 58 students by modeling CRUD applications and generating code for these also performed a survey at the end. This survey of 10 questions hints at the positive effect of a pragmatic approach to teaching MDE.…”

Section: Related Case Studiesmentioning

confidence: 99%

“…Previous works reported on the benefits and challenges of teaching SE in project classes in various settings [1], [2], [3], [4], [5], [6], [7], [8], [9], [10]. Important parameters of a software development project are the pursued development process, the employed development techniques, and the nature of the developed system.…”

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confidence: 99%

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Teaching agile model-driven engineering for cyber-physical systems

Ringert

Rumpe

Schulze

et al. 2017

2017 IEEE/ACM 39th International Conference on Software Engineering: Software Engineering Education and Training Track (ICSE-SE

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Abstract-Agile development methods, model-driven engineering, and cyber-physical systems are important topics in software engineering education. It is not obvious how to teach their combination while respecting individual challenges posed to students and educators. We have devised a software project class for teaching the agile MDE for CPS. The project class was held in three different semesters. In this paper, we report on the setup of our exploratory study and its goals for teaching. We base our evaluation and insights on interviews and questionnaires. Our results show the feasibility of combination of agile MDE for CPS but also the challenges this combination poses to students and educators.

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Section: Related Case Studiesmentioning

confidence: 99%

Section: Related Case Studiesmentioning

confidence: 99%

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Teaching agile model-driven engineering for cyber-physical systems

Ringert

Rumpe

Schulze

et al. 2017

2017 IEEE/ACM 39th International Conference on Software Engineering: Software Engineering Education and Training Track (ICSE-SE

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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 BSTRACTION of the human-computer communication interfaces [1] can be increased by DSL development [2], coming out from the abstract syntax [3]. Grammatical and/or genetical language evolution [4], [5], [6] is more automated approach, but still oriented more to syntactic than to semantic facet of languages.…”

Section: Introductionmentioning

confidence: 99%

Towards Machine Mind Evolution

Kollár

Sicak

Spisiak

2015

Annals of Computer Science and Information Systems

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Abstract-We introduce the principles of symbolization and conceptualization of perceived reality. We show them as processes that are applicable inside of a computer mind. We derive those processes from principles of a human mind. We present process of higher order regular abstraction and state automata acceptance as possible machine reality realization mechanism. We present the algorithm for evolution of machine mind language. Verification of this algorithm is presented in functional language Haskell. On the output, we have obtained fine-grained parallel nonredundant structure. It is in super-combinator form and represents elements of a machine mind language. Count of elements applications highly exceeds the count of elements themselves. Instead of accumulating acquired information, they are dissolved in the language of a mind. Vice versa, the information can be reconstructed from this language. We show that non-redundancy of a machine language is the decisive criterion for restructuring the machine mind language in each moment of communication.It is like that, so we can achieve more powerful and abstract communication between humans and computers or between computers themselves.

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Pragmatic Model-Driven Software Development from the Viewpoint of a Programmer: Teaching Experience

Cited by 14 publications

References 16 publications

Teaching agile model-driven engineering for cyber-physical systems

Teaching agile model-driven engineering for cyber-physical systems

Considerations about quality in model-driven engineering

Towards Machine Mind Evolution

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