Towards a unified approach for software architecture recovery

Name: Towards a unified approach for software architecture recovery
Author: Sozer, Hasan

İsim	Towards a unified approach for software architecture recovery
Yazar	Sozer, Hasan
Basım Tarihi:	2024-01-01
Basım Yeri	- IEEE
Konu	Feature modeling, Variability analysis, Software maintenance, Reverse engineering, Software architecture reconstruction, Software architecture recovery
Tür	Belge
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	979-835037696-8
Kayıt Numarası	458695e0-0089-4171-9920-3ed925287499
Lokasyon	Computer Science
Tarih	2024-01-01
Notlar	TÜBİTAK
Örnek Metin	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

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Towards a unified approach for software architecture recovery

Yazar Sozer, Hasan

Basım Tarihi 2024-01-01

Basım Yeri - IEEE

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

Tür Belge

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 979-835037696-8

Kayıt Numarası 458695e0-0089-4171-9920-3ed925287499

Lokasyon Computer Science

Tarih 2024-01-01

Notlar TÜBİTAK

Örnek Metin 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