What do practitioners expect from the meta-modeling tools? A survey

Ozkaya, Mert; Akdur, Deniz

doi:10.1016/j.cola.2021.101030

Cited by 17 publications

(8 citation statements)

References 19 publications

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“…Existing studies, e.g., [34,62,100], show that meta-modeling platforms support development of modeling tools, enable creation of machinereadable models amenable to computer-supported analysis, provide querying capabilities, and more. However, when it comes to support for formal verification, additional efforts seem to be required [105,130].…”

Section: Implications For Practice Of Modeling Methods Engineering -P...mentioning

confidence: 99%

Validation and verification in domain-specific modeling method engineering: an integrated life-cycle view

Kaczmarek-Heß

Kinderen

2022

Softw Syst Model

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Section: Implications For Practice Of Modeling Methods Engineering -P...mentioning

confidence: 99%

Validation and verification in domain-specific modeling method engineering: an integrated life-cycle view

Kaczmarek-Heß

Kinderen

2022

Softw Syst Model

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“…More specifically, any reader interested in a comparison of graph-based design languages with other related graph transformation approaches is referred to a most recent survey paper which reviews the commonalities and differences of graph transformation approaches [6] and which represents a follow-up of a previous survey paper [7]. Similarly, a further performance comparison of the design language approach with other model-based transformation and mapping concepts [8][9][10] is intentionally not dealt with in this paper.…”

Section: Graph-based Design Languagesmentioning

confidence: 99%

“…Piping furthermore depends heavily on the previous placement (the so-called "packing") of the hydraulic system components inside the aircraft, since any change of a component's position or orientation affects the start-and endpoints the pipe connection and their spacial orientation. Both problems of packing and piping [1,3] are known to fall mathematically speaking into the class of so-called "NP-hard problems", for which no exact algorithmic solution in polynomial time-complexity is known [8]. This means that the development and advantageous use of problem-specific search heuristics or problem-independent meta-heuristics to circumvent and overcome this existing hard theoretical bottleneck is therefore mandatory.…”

Section: The V-model Of Model-based Systems Engineeringmentioning

confidence: 99%

Automated Piping in an Airbus A320 Landing Gear Bay Using Graph-Based Design Languages

et al. 2022

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System design in an aircraft is still a costly, manual and iterative approach. One major cost driver of changes in system installation are design efforts for creating new pipes in an earlier stage and the costs accumulated during the in service life. To reduce these costs and the time to market, an automation approach with an integrated design optimization encoded in graph-based design languages and executable in a design compiler is proposed. To generate the pipe work automatically, a set of input data (e.g., start- and end-points of a pipe with tangents and fixing positions) is given by the user. It also contains, among others, the weightings for the optimization criteria (e.g., length of the pipe resp. the weight vs. the number of bends) to influence the evaluation of the generated pipes and thereby the final solution. As an initial step in the automatic pipe generation process, a route through the installation space is searched. Subsequently, the installation space is simplified and a respective minimal distance to each obstacle which a pipe should satisfy is added. Then for each pipe an initial solution is estimated and each pipe is optimized by a simulated annealing algorithm. At last, all given requirements are automatically verified. A carried out investigation indicates a polynomial runtime behaviour of the algorithm. The capabilities of the newly developed automated piping are demonstrated on the pipe work in an Airbus A320 landing gear bay.

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Section: Related Workmentioning

confidence: 99%

“…Literature review studies are an essential source of knowledge, and many also exist for the DSLs as well [28,30,46]. A survey paper [46] discussed what features practitioners expect from meta-modeling tools. The participants in the survey preferred to use DSMLs with diagrammatic notation with model-to-text transformations, whilst modeling editors should enable the reuse of the existing models stored in a repository.…”

Section: Related Workmentioning

confidence: 99%

Evolution of Domain-Specific Modeling Language: An Example of an Industrial Case Study on an RT-Sequencer

Kos¹,

Mernik

Kosar

2022

Applied Sciences

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Model-driven engineering is a well-established software development methodology that uses models to develop applications where the end-users with visual elements model abstractions from a specific domain. These models are based on domain-specific modeling language (DSML), which is particular to the problem domain. During DSML use, new ideas emerge and DSMLs evolve. However, reports on DSML evolution are rare. This study presents a new DSML called RT-Sequencer that evolved from our DSML Sequencer to support, in addition to the Data Acquisition domain, also a new domain—Real-Time Control (RTC) systems. The process of defining models with a new language RT-Sequencer has changed in a way that new end-users were introduced—advanced end-users, which use general-purpose language (GPL) and advanced programming concepts to define modeling environments for the RT-Sequencer end-users. More specifically, an industrial experience with the RT-Sequencer is presented, where DSML was opened for extension so that a GPL code could be inserted into the model to create new visual blocks for the end-user, and the possibility to adapt and optimize the execution code for a particular task. Our experience shows the specific case of DSML evolution supporting another problem domain, and the implementation effort needed to extend domain-specific modeling language with GPL support.

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What do practitioners expect from the meta-modeling tools? A survey

Cited by 17 publications

References 19 publications

Validation and verification in domain-specific modeling method engineering: an integrated life-cycle view

Validation and verification in domain-specific modeling method engineering: an integrated life-cycle view

Automated Piping in an Airbus A320 Landing Gear Bay Using Graph-Based Design Languages

Evolution of Domain-Specific Modeling Language: An Example of an Industrial Case Study on an RT-Sequencer

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