Design pattern detection based on the graph theory

Mayvan, Bahareh Bafandeh; Rasoolzadegan, Abbas

doi:10.1016/j.knosys.2017.01.007

Cited by 45 publications

(31 citation statements)

References 23 publications

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“…They statically analyze design patterns based on structural features and implement a dynamic analysis by combining structural and behavioral features. Different techniques have been introduced to design pattern automation in the literature, most of which search for specific structures in static codes [5].…”

Section: Literature Reviewmentioning

confidence: 99%

A Block Chain Approach to Extract Design Patterns from Source Code

Rezaei

Esmaeilpour

Hatamlou

et al. 2023

Preprint

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Design patterns are an effective technique to develop software. However, a lack of suitable documents often reduces traceability, and advantages remain unclear in source lines of code (SLOC). Design patterns have proved to be reliable solutions to a number of frequent problems in object-oriented software design. The detection of design patterns in a software system contributes to maintainability and re-engineering and facilitates the understanding of codes. Furthermore, different implementations of a design pattern impede the detection of code pattern instances. A design pattern is a set of roles played by the code classes. Roles are the main details and determinants in patterns. A pattern can be detected in its defined role since it is an instance of a role. It is also of great importance in system documentation. The proposed method exploits blockchain-based approaches in order to identify code links, inter-code relationships, and pattern similarities to the code. The results demonstrate that the blockchain is effective and efficient in extracting the connections of features from source codes and adapting to design patterns with precision 97%.

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Section: Literature Reviewmentioning

confidence: 99%

A Block Chain Approach to Extract Design Patterns from Source Code

Rezaei

Esmaeilpour

Hatamlou

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…In design pattern mining, detecting the design pattern is a frequent study objective. To do so, studies have used machine learning algorithms [87,[89][90][91], ensemble learning [95], deep learning [97], graph theory [94], and text mining [86,95].…”

Section: Data Mining In Design Pattern Miningmentioning

confidence: 99%

Data Mining and Machine Learning for Software Engineering

Kiyak¹

2021

Data Mining - Methods, Applications and Systems

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Software engineering is one of the most utilizable research areas for data mining. Developers have attempted to improve software quality by mining and analyzing software data. In any phase of software development life cycle (SDLC), while huge amount of data is produced, some design, security, or software problems may occur. In the early phases of software development, analyzing software data helps to handle these problems and lead to more accurate and timely delivery of software projects. Various data mining and machine learning studies have been conducted to deal with software engineering tasks such as defect prediction, effort estimation, etc. This study shows the open issues and presents related solutions and recommendations in software engineering, applying data mining and machine learning techniques.

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“…Bahareh Bafandeh Mayvan and Abbas Rasoolzadegan [26] present a new two-phased method for detecting design patterns. The first stage focuses on the structural signature of the pattern in terms of semantics and syntax.…”

Section: State Of the Artmentioning

confidence: 99%

Design Patterns and Electric Vehicle Charging Software

et al. 2020

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The development and maintenance of complex software systems, with ever-changing requirements has benefited from the implementation of design patterns, which ensure a higher degree of maintainability. The present article illustrates the essential role of design patterns in sketching the software architecture for an electric vehicle charging management platform. We have integrated a series of design patterns to create a solid base structure for the API (Application Programming Interface). Furthermore, we have explored cloud design patterns in the deployment process to ensure a proper multi-tenant cloud application with the best possible tenant isolation for the cost. The aim of this paper is to offer readers an introduction in the case study theme, to describe a complex platform development through design patterns. With proper examples from real projects debated in the industry. The paper demonstrates the design patterns applicability from software level to cloud resources plan and advocates for a high-quality solution in every segment of project development. In conclusion, the results are promising, and the functionality of the established methods on this type of platforms will be evaluated during the implementation period. Overall, design patterns have proven to be essential in the development process, ensuring effective team communication and the delivery of qualitative software solutions.

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Design pattern detection based on the graph theory

Cited by 45 publications

References 23 publications

A Block Chain Approach to Extract Design Patterns from Source Code

A Block Chain Approach to Extract Design Patterns from Source Code

Data Mining and Machine Learning for Software Engineering

Design Patterns and Electric Vehicle Charging Software

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