Coevolution index: A metric for tracking evolutionary coupling

Name: Coevolution index: A metric for tracking evolutionary coupling
Author: Yapıcı, H., Sözer, Hasan

İsim	Coevolution index: A metric for tracking evolutionary coupling
Yazar	Yapıcı, H., Sözer, Hasan
Basım Tarihi:	2023
Basım Yeri	- IEEE
Konu	Evolutionary coupling, Software evolution, Software maintenance, Software metrics, Technical debt interest
Tür	Belge
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	979-835032697-0
Kayıt Numarası	e058cca6-db5c-44f6-9767-77dd1fe65420
Lokasyon	Computer Science
Tarih	2023
Örnek Metin	This paper proposes a new metric, namely the coevolution index (CEI), for measuring the relative evolutionary coupling of modules of a software system. CEI is inspired by the h-index, which is a popular metric used for measuring the productivity and citation impact of scholars and scientists. CEI of a module is equal to n, which is the number of times it is modified together with at least n other modules of the system. We develop a script that can calculate CEI for source files in a code repository. We analyze the repository of 4 software systems. Source files that are subject to a high number of changes to address issues tend to have high CEI scores. CEI also reflects a relative footprint in maintenance efforts by definition. Hence, it can help in tracking technical debt interest and focusing the refactoring efforts for improving maintainability and reusability.
DOI	10.1109/COMPSAC57700.2023.00244

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Coevolution index: A metric for tracking evolutionary coupling

Yazar Yapıcı, H., Sözer, Hasan

Basım Tarihi 2023

Basım Yeri - IEEE

Konu Evolutionary coupling, Software evolution, Software maintenance, Software metrics, Technical debt interest

Tür Belge

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 979-835032697-0

Kayıt Numarası e058cca6-db5c-44f6-9767-77dd1fe65420

Lokasyon Computer Science

Tarih 2023

Örnek Metin This paper proposes a new metric, namely the coevolution index (CEI), for measuring the relative evolutionary coupling of modules of a software system. CEI is inspired by the h-index, which is a popular metric used for measuring the productivity and citation impact of scholars and scientists. CEI of a module is equal to n, which is the number of times it is modified together with at least n other modules of the system. We develop a script that can calculate CEI for source files in a code repository. We analyze the repository of 4 software systems. Source files that are subject to a high number of changes to address issues tend to have high CEI scores. CEI also reflects a relative footprint in maintenance efforts by definition. Hence, it can help in tracking technical debt interest and focusing the refactoring efforts for improving maintainability and reusability.

DOI 10.1109/COMPSAC57700.2023.00244