A Generative Programming Approach for Game Development

Sarinho, Victor Travassos; Apolinário, Antônio L.

doi:10.1109/sbgames.2009.18

Cited by 10 publications

(14 citation statements)

References 4 publications

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“…Each Node feature also has a BoundingVolume feature to delimit the collision detection space. Node features can also contain AudioNode, GraphicNode, and PhysicsNode features, like SceneNode feature from GDS model [5].…”

Section: Mendiga Feature Modelmentioning

confidence: 99%

“…It is a feature-based approach capable of representing the G-factor according to game concepts found in the literature. Sarinho and Apolinário also proposed the GameSystem, DecisionSupport, and SceneView (GDS) feature model [5], which is based on game features that describe generic configurations and behavioral aspects found on game implementation resources identified in the literature. GDS was also used as a reference model to a proposed generative approach of digital games, showing as a result the feasibility of using features in the production of concrete digital games [5].…”

Section: Introductionmentioning

confidence: 99%

“…This difficulty was confirmed during the production of the SimplifiedPacMan version [5] using Feature-based Environment for Digital Games (FEnDiGa) [7], a game production environment based on a combined representation of NESI and GDS features via Object Oriented Feature Modeling (OOFM) approach [8].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

MEnDiGa: A Minimal Engine for Digital Games

Boaventura

Sarinho

2017

International Journal of Computer Games Technology

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Game engines generate high dependence of developed games on provided implementation resources. Feature modeling is a technique that captures commonalities and variabilities results of domain analysis to provide a basis for automated configuration of concrete products. This paper presents the Minimal Engine for Digital Games (MEnDiGa), a simplified collection of game assets based on game features capable of building small and casual games regardless of their implementation resources. It presents minimal features in a representative hierarchy of spatial and game elements along with basic behaviors and event support related to game logic features. It also presents modules of code to represent, interpret, and adapt game features to provide the execution of configured games in multiple game platforms. As a proof of concept, a clone of the Doodle Jump game was developed using MEnDiGa assets and compared with original game version. As a result, a new G-factor based approach for game construction is provided, which is able to separate the core of game elements from the implementation itself in an independent, reusable, and large-scale way.

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Section: Mendiga Feature Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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MEnDiGa: A Minimal Engine for Digital Games

Boaventura

Sarinho

2017

International Journal of Computer Games Technology

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“…The first is the issue of coupling between different modules. Sarinho and Apolinario [87] tried to address this problem using a proposed generative programming approach. Generative programming aims to automate the software development process using a number of static and dynamic technologies including reflection, meta-programming, and program and model analysis [88] .…”

Section: Programming Practicesmentioning

confidence: 99%

“…Meta-programming resources were used to generate and represent compatible source code for available game frameworks and game engines. The authors of [87] concluded that the proposed approach would result in the loss of the coupling development strategy between game implementation and its domain software artifacts. Code cloning in open-source games is another issue discussed by Chen et al [89] They provided a detailed study of the issues of code clones in more than 20 open-source game projects based on C, Python, and Java for various game genres.…”

Section: Programming Practicesmentioning

confidence: 99%

Critical Success Factors to Improve the Game Development Process from a Developer’s Perspective

Aleem

Capretz

Ahmed

2016

J. Comput. Sci. Technol.

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The growth of the software game development industry is enormous and is gaining importance day by day. This growth imposes severe pressure and a number of issues and challenges on the game development community. Game development is a complex process, and one important game development choice is to consider the developer's perspective to produce good-quality software games by improving the game development process. The objective of this study is to provide a better understanding of the developer's dimension as a factor in software game success. It focuses mainly on an empirical investigation of the effect of key developer's factors on the software game development process and eventually on the quality of the resulting game. A quantitative survey was developed and conducted to identify key developer's factors for an enhanced game development process. For this study, the developed survey was used to test the research model and hypotheses. The results provide evidence that game development organizations must deal with multiple key factors to remain competitive and to handle high pressure in the software game industry. The main contribution of this paper is to investigate empirically the influence of key developer's factors on the game development process.

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A Feature-Based Approach to Develop Digital Board Games

Boaventura¹,

Sarinho²

2019

Entertainment Computing and Serious Games

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Several types of development strategies are available to provide digital games in a reusable way. However, the idea of a "one-size-fitsall" architecture for digital games can be problematic, being preferable to build dedicated architectures for specific game genres. This paper proposes the development of feature-based artifacts for the production of digital board games. It presents a subdomain game architecture that represents configurable features of core concepts related to board games (the game model and controller ), and implements feature artifacts capable of being executed in distinct game clients (the game view ). For validation purposes, two types of classic board games, together with a proposed web client for board games, were developed, consolidating as a result a software product line approach to develop classic board games.

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A Generative Programming Approach for Game Development

Cited by 10 publications

References 4 publications

MEnDiGa: A Minimal Engine for Digital Games

MEnDiGa: A Minimal Engine for Digital Games

Critical Success Factors to Improve the Game Development Process from a Developer’s Perspective

A Feature-Based Approach to Develop Digital Board Games

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