Using code generation approach in developing kiosk applications

Abstract

Today, kiosk automata (kiosks, for short) are used for variety of services from all sort of kiosks for providing information's, to kiosks for paying tickets and ATM's. Kiosks are usually programmed either using high level programming languages, like C++, or using HTML in conjunction with web browser. In this paper, we analyzed a vast range of kiosk automata and derived common characteristics. We present approach for programming kiosk applications based on Domain Specific Language (DSL), designed specifically to meet the needs of developing kiosk applications that are usually programmed using high level programming languages and are deployed on kiosks with touch-screen monitors. Our goal is to make development of such kiosk applications more rapid, while minimizing number of programming errors.

Influence of domain-specific notation to program understanding

“…However, DSLs have in productivity numerous advantages over GPLs -they are more expressive for the domain in question, with corresponding gains in productivity and reduced maintenance costs [17]. Some specific goals of DSLs such as:…”

Aspect-Oriented Attribute Grammars

“…Such specifications become more modular and reusable. The proposed aspect-oriented attribute grammars is a feasible formalism from which a DSL compiler [4,11,12] can be automatically generated, as well as related tools such as editors, simulators, and animators [13]. The approach can be useful also in modeldriven engineering where code is automatically generated from models [14][15][16].…”

System Design, Development & Deployment Using Rapid By-Customer Demand With Business Principles Approach

“…A recent research presented to the user the Capability Maturity Model Integration for improving software development process [2] while another paper proposed a creative engineering design method to increase the innovativeness of complex technical systems [3]. There are also a number of papers on developing kiosk applications in rapid manner with less programming errors [4], accelerate the process of learning from mistakes of an individual programmer by defect logging and defect data analysis [5], and the development of system components by using a mathematical model [6].…”