Logo image
Back
Understanding Stoftware Systems through Interactive Pattern Detection
Conference proceeding

Understanding Stoftware Systems through Interactive Pattern Detection

Everton Guimaraes and Yuanfang Cai
2020 IEEE International Conference on Software Architecture Companion (ICSA-C), pp 51-54
01 Jan 2020
DOI: https://doi.org/10.1109/ICSA-C50368.2020.00017

Abstract

Computer Science, Software Engineering Science & Technology Computer Science Technology
Architectural and design patterns are the building blocks of modern software systems. Understanding patterns applied in these systems is critical to comprehend their architecture. Current research is not adequately addressing either the architecture recovery and comprehension problem nor the pattern detection problem. What makes it more complicated is the gaining popularity of new language and multiple languages, which makes existing pattern recognition techniques infeasible. Our vision is to allow developers to interactively understand the complexity of a software system by grasping the key abstractions of the system and extracting the associated design spaces and patterns. The long-term objective is to create an interactive and language-independent pattern-oriented architecture recovery framework. We propose to standardize the design structure framed by major patterns, against which the user can detect the variation of design patterns and potential violations.

Metrics

12 Record Views
1 citations in Web of Science
4 citations in Scopus

Details

InCites Highlights

Data related to this publication, from InCites Benchmarking & Analytics tool:

Collaboration types
Domestic collaboration
Web of Science research areas
Computer Science, Software Engineering
Logo image