Back to Search

Towards a unified approach for software architecture recovery

Title	Towards a unified approach for software architecture recovery
Author	Sozer, Hasan
Publication Date:	2024-01-01
Publication Place	- IEEE
Subject	Feature modeling, Variability analysis, Software maintenance, Reverse engineering, Software architecture reconstruction, Software architecture recovery
Type	Document
Language	English
Digital	Yes
Manuscript	No
Library:	Özyeğin University
Library Asset ID	979-835037696-8
Record ID	458695e0-0089-4171-9920-3ed925287499
Library Location	Computer Science
Date	2024-01-01
Notes	TÜBİTAK
Sample Text	Large scale software systems are decomposed into gross-level components to reduce maintenance efforts. Software Architecture Recovery (SAR) approaches have been introduced to automatically cluster software modules for identifying modular components. In our previous work, we analyzed and hybridized various algorithms for clustering software modules. In addition to the employed clustering algorithm, SAR approaches are subject to many variations from multiple perspectives like the types of input and recovered artifacts. In this paper, we systematically review these variations. We aim at extending our work towards a unified approach for SAR in the future.
DOI	10.1109/COMPSAC61105.2024.00173

View in source Özyeğin University Özyeğin University - Ottoman library catalog search

Özyeğin University

Towards a unified approach for software architecture recovery

Author Sozer, Hasan

Publication Date 2024-01-01

Publication Place - IEEE

Subject Feature modeling, Variability analysis, Software maintenance, Reverse engineering, Software architecture reconstruction, Software architecture recovery

Type Document

Language English

Digital Yes

Manuscript No

Library Özyeğin University

Library Asset ID 979-835037696-8

Record ID 458695e0-0089-4171-9920-3ed925287499

Library Location Computer Science

Date 2024-01-01

Notes TÜBİTAK

Sample Text Large scale software systems are decomposed into gross-level components to reduce maintenance efforts. Software Architecture Recovery (SAR) approaches have been introduced to automatically cluster software modules for identifying modular components. In our previous work, we analyzed and hybridized various algorithms for clustering software modules. In addition to the employed clustering algorithm, SAR approaches are subject to many variations from multiple perspectives like the types of input and recovered artifacts. In this paper, we systematically review these variations. We aim at extending our work towards a unified approach for SAR in the future.

DOI 10.1109/COMPSAC61105.2024.00173