SEJan 12, 2022

Blockchain software patterns for the design of decentralized applications: A systematic literature review

arXiv:2201.04374v159 citations
Originality Synthesis-oriented
AI Analysis

It provides a comprehensive resource for software architects designing blockchain applications, though it is incremental as it synthesizes existing patterns rather than introducing new ones.

This paper conducted a systematic literature review to address the lack of tested blockchain software patterns for decentralized applications, identifying 120 unique patterns and proposing a taxonomy to aid selection and integration.

A software pattern is a reusable solution to address a commonly occurring problem within a given context when designing software. Using patterns is a common practice for software architects to ensure software quality. Many pattern collections have been proposed for a large number of application domains. However, because of the technology's recentness, there are only a few available collections with a lack of extensive testing in industrial blockchain applications. It is also difficult for software architects to adequately apply blockchain patterns in their applications, as it requires deep knowledge of blockchain technology. Through a systematic literature review, this paper has identified 120 unique blockchain-related patterns and proposes a pattern taxonomy composed of multiple categories, built from the extracted pattern collection. The purpose of this collection is to map, classify, and describe all available patterns across the literature to help readers make adequate decisions regarding blockchain pattern selection. This study also shows potential applications of those patterns and identifies the relationships between blockchain patterns and other non-blockchain software patterns.

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