A model-driven approach to generate and deploy videogames on multiple platforms

Núñez‐Valdéz, Edward Rolando; García‐Díaz, Vicente; Lovelle, Juan Manuel Cueva; Achaerandio, Yago Sáez; Crespo, Rubén González

doi:10.1007/s12652-016-0404-1

Cited by 12 publications

(12 citation statements)

References 19 publications

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“…In line with the literature currently available, NoteG has also been evaluated through a questionnaire-based user survey (Lu et al, 2014;Núñez-Valdez, García-Díaz, Lovelle, Achaerandio, & González-Crespo, 2017). The survey was targeted at novice game developers most of whom were at the high school and undergraduate levels.…”

Section: Discussionmentioning

confidence: 99%

NoteG: A Computational Notebook to Facilitate Rapid Game Prototyping

Mathews¹,

Chimalakonda²

2022

Preprint

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Game development-based approaches are increasingly used to design curricula that can engage students, as these can help them apply and practice learnt computer science concepts. However, it can become complex to develop a minimum working game or a prototype with the help of high-end game engines. Game prototyping is one of the most essential parts of the game design and development cycle as it allows developers to continuously test and improve their ideas. In recent years, computational notebooks have gained widespread popularity among developers. They can help run individual code snippets, visualize the output, consolidate the source code, and share live code easily. However, its use has not been explored in the field of game development and prototyping. In this paper, we propose NoteG, a computational notebook towards rapid game prototyping. We evaluated the tool with 18 novice game developers through a questionnaire-based user survey. A majority of the volunteers (66%) found it easy to use and were of the opinion that it saves time. A few of the participants successfully extended the existing framework to implement new game mechanics within their prototypes.

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Section: Discussionmentioning

confidence: 99%

NoteG: A Computational Notebook to Facilitate Rapid Game Prototyping

Mathews¹,

Chimalakonda²

2022

Preprint

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“…These tools enable to design games for different platforms. Some popular engines are GameSalad, GameMaker, Unity and Unreal [15].…”

Section: Video Gamesmentioning

confidence: 99%

“…Despite these game tools provide some facilities to users, they also have some limitations. In most cases it is not a trivial task to learn to work with such engines, specially for elementary users [15]. Additionally, the code generated by such engines is very generic and the user needs to change some parts of the code to make it applicable for a particular game and platform [16].…”

Section: Video Gamesmentioning

confidence: 99%

A model-driven framework for developing android-based classic multiplayer 2D board games

et al. 2021

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Mobile applications and game development are attractive fields in software engineering. Despite the advancement of programming languages and integrated development environments, there have always been many challenges for software and mobile game developers. Model-Driven Engineering (MDE) is a software engineering methodology that applies software modeling languages for modeling the problem domain. In this paradigm, the code is to be automatically generated from the models by applying different model transformations. Besides, manipulating models instead of code facilitates the discovery and resolution of errors due to the high level of abstraction. This study presents an approach and framework, called MAndroid, that generates Android-based classic multiplayer 2D board games in a fully automated fashion, relying on the concepts of MDE. Structural and behavioral dimensions of the game are first modeled in MAndroid. Models are then automatically transformed to code that can be run on any mobile phone and tablet running Android 4.4 or higher. In order to evaluate the proposed approach, three board games are fully implemented. Additionally, applicability, developer performance, simplicity and attractiveness of MAndroid are evaluated through a set of questionnaires. MAndroid is also evaluated technically by comparing

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“…Additionally, "s" is used to indicate that the work meets the criteria in a semi-finished way: using a semi-structured process or semi-formal vocabulary. [42,43] ( [44,45]); B: [46] ( [47,48]); C: [49,50]; D: [17]; E: [51]; F: [13]; G: [15]; H: [52]; I: [53]; J: [54] The review revealed that no paper claimed to have used any formal DA methodology. Many of the papers proposed DSL concepts directly such as E, F, G, H, and I [13,15,[51][52][53], while some other papers identified several dimensions which contained the DSL concepts.…”

Section: Related Workmentioning

confidence: 99%

“…Some concepts were enumerated in the framework, which, for our purpose, can be thought of as a semi-formal vocabulary. J [54] is the only work in which traditional formal domain analysis (FODA) was used. As indicated in the paper, different types of existing games and their internal features have been analyzed in order for users to develop any type of 2D videogame of touch ability, puzzle, platform, trivia style, and turn based strategy video games.…”

Section: Related Workmentioning

confidence: 99%

Ontology-Based Domain Analysis for Model Driven Pervasive Game Development

et al. 2018

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Domain Analysis (DA) plays an important role in Model Driven Development (MDD) and Domain-Specific Modeling (DSM). However, most formal DA methods are heavy weight and not practical sometimes. For instance, when computer games are developed, the problem domain (game design) is decided gradually within numerous iterations. It is not practical to fit a heavy-weight DA in such an agile process. In this research, we propose a light-weight DA which can be embedded in the original game development process. The DA process is based on a game ontology which serves for both game design and domain analysis. In this paper, we introduce the ontology and demonstrate how to use it in the domain analysis process. We discuss the quality and evaluate the ontology with a user acceptance survey. The test result shows that most potential users considered the ontology useful and easy to use.

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A model-driven approach to generate and deploy videogames on multiple platforms

Cited by 12 publications

References 19 publications

NoteG: A Computational Notebook to Facilitate Rapid Game Prototyping

NoteG: A Computational Notebook to Facilitate Rapid Game Prototyping

A model-driven framework for developing android-based classic multiplayer 2D board games

Ontology-Based Domain Analysis for Model Driven Pervasive Game Development

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