A model for analysis and presentation of design pattern detection results

Autor: Vassilios Tzerpos, Shouzheng Yang
Rok vydání: 2018
Předmět:
Zdroj: SAC
DOI: 10.1145/3167132.3167292
Popis: Detecting design patterns in large software systems greatly helps the comprehension process of the system's design. While many design pattern detection tools have been presented in the literature, a challenge is that detection results produced by different tools are hard to evaluate due to differences in understanding of design patterns, manner of presentation, instance counting, lack of automated or semi-automated ways of validation and so on. In this paper, we present an approach to analyzing and presenting design pattern instances that helps with the presentation of detection results in a uniform fashion. Our approach also utilizes the nature of design patterns to potentially help with the validation of detection results. The paper presents an implementation of our approach, as well as experiments that showcase its effectiveness.
Databáze: OpenAIRE