Abstract
Domain-specific design patterns provide developers with proven solutions to common design problems that arise, particularly in a target application domain, facilitating them to produce quality designs in the domain contexts. However, research in this area is not mature and there are no techniques to support their detection. Towards this end, we propose a methodology which, when applied on a collection of websites in a specific domain, facilitates the automated identification of domain-specific design patterns. The methodology automatically extracts the conceptual models of the websites, which are subsequently analyzed in terms of all of the reusable design fragments used in them for supporting common domain functionalities. At the conceptual level, we consider these fragments as recurrent patterns consisting of a configuration of front-end interface components that interrelate each other and interact with end-users to support certain functionality. By performing a pattern-based analysis of the models, we locate the occurrences of all the recurrent patterns in the various website designs which are then evaluated towards their consistent use. The detected patterns can be used as building blocks in future designs, assisting developers to produce consistent and quality designs in the target domain. To support our case, we present a case study for the educational domain.
Highlights
Design patterns [1] have emerged as a means to promote design reuse, providing designers with proven solutions to recurring design problems that can be reused in different contexts where the corresponding problem arises
The recovered models are submitted to a pattern-based analysis with the aim of (i) identifying the occurrences of all the recurrent patterns a pattern-based analysis with the aim of (i) identifying the occurrences of all the recurrent patterns lying within them; and (ii) verifying which of them can be considered as candidate domain-specific lying within them; and (ii) verifying which of them can be considered as candidate domain-specific design patterns (i.e.,(i.e., supporting the functionalities)
These metrics are called start-point metric (SPM) and end-point metric (EPM) and, intuitively, they compute the statistical variance of the occurrences of the starting and termination variants of a pattern throughout the conceptual models
Summary
Design patterns [1] have emerged as a means to promote design reuse, providing designers with proven solutions to recurring design problems that can be reused in different contexts where the corresponding problem arises By reusing such successful design solutions, developers can produce applications of high quality more rapidly, since they can rely on prior experiences and well-tested good practices. When developers apply design patterns, they have the ability to enforce a coherent design style which can potentially result in more consistent and predictable designs This makes it easier for the end-users to recognize typical patterns of interactions with the system for performing common tasks, improving the ease of use of an application. Design patterns help improving the communication among interdisciplinary development teams, by providing them with a common design vocabulary to discuss the design alternatives and understand the various design decisions made throughout all phases of the development lifecycle
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