Analysis Of Design Patterns Research Articles

Pattern detection and design rationale traceability: an integrated approach to software design quality

Design rationale is the synthesis of the structure that is consistent with the model of an artefact, decisions, alternative approaches, and the reasoning behind it. Hence, bypassing it will result in poor quality systems engineering. Ambiguous representation of design rationale goals is just one of the many limitations that contributes to the intricacy of design patterns, thereby this research aims to introduce an approach to support the structuring, evaluation, and analysis of design patterns. The authors have proposed a method and implemented an associated tool with a mechanism that validates the class relationships and properties of design patterns comprehensively, resulting in a reliable pattern detection result. The preliminary results of the proposed research show that although detection and evaluation of a design pattern require some overhead using the approach, it does contribute to the confidence of the developers and gives affirmation that the design pattern implemented in the source code achieves its defined rationale goals based on the gang of four definition of design patterns through the reliable pattern detection output and straightforward evaluation result. The conclusion could be drawn that through the proposed approach, the preliminary result resolves the intricacy of design rationale traceability while achieving software quality is permissible.

Analysis of Design Pattern to Develop Object-Oriented Systems

This article is an introduction to design patterns. Patterns are recent software engineering problem-solving discipline that emerged from the object-oriented community. The primary purpose of the pattern is communicating design insights and making patterns coherent and easier to understand. On the basis of a review of existing frameworks and the authors own experiences building visualization software, they present a series of design patterns for the domain of information visualization. The authors discuss the structure, factors use, and association of patterns bridge of data representation, graphics, and interaction.

Applying learning-based methods for recognizing design patterns

Recognizing design patterns in source code helps in improving the aspect of reusability and maintainability that play an essential role during analysis and design phases of software development process. Software patterns provide design-level documents, which are applied for the recurring design issues. Analysis of design patterns is often carried out by using forward engineering as well as reverse engineering. In this study, a reverse engineering approach has been applied for recognizing design patterns. The study is comprised of two phases such as preparation of requisite dataset based on object-oriented software metrics and recognition of design patterns. The first phase, i.e., dataset preparation, is carried out by various object-oriented metrics. Design pattern recognition is performed by using learning-based algorithms such as artificial neural network and logistic regression. The presented method is validated by using three case studies such as JRefactory, JUnit and Quaqua.