Coupling Complexity Metric: A Cognitive Approach

Aloysius, A.; Arockiam, L.

doi:10.5815/ijitcs.2012.09.04

Cited by 12 publications

(11 citation statements)

References 19 publications

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“…Chidamber and Kemerer as part of their metrics suite [25], became a fundamental coupling metric used as base for further metrics and refinements by other researchers: examples can be found in CBO [28], CWCBO [43] and CBE (Coupling Between Elements) [75]. Moreover, our investigation revealed that sometimes the researchers encountered difficulties in retrieving previously proposed metrics.…”

Section: Discussionmentioning

confidence: 84%

“…Our investigation revealed that coupling metrics are evaluated referring to the properties defined by Kitchenham et al [147], Weyuker [148] and Briand et al [28]. Metrics such as CTA and CTM [34], CWCBO [43] and CCBC [11] have been validated using this process. However, we noticed that a vast number of metrics have been proposed without undergoing a theoretical evaluation: for instance, based on properties like Representation condition [147].…”

Section: Discussionmentioning

confidence: 87%

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A survey on software coupling relations and tools

Fregnan

Baum

Palomba

et al. 2019

Information and Software Technology

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Context: Coupling relations reflect the dependencies between software entities and can be used to assess the quality of a program. For this reason, a vast amount of them has been developed, together with tools to compute their related metrics. However, this makes the coupling measures suitable for a given application challenging to find. Goals: The first objective of this work is to provide a classification of the different kinds of coupling relations, together with the metrics to measure them. The second consists in presenting an overview of the tools proposed until now by the software engineering academic community to extract these metrics. Method: This work constitutes a systematic literature review in software engineering. To retrieve the referenced publications, publicly available scientific research databases were used. These sources were queried using keywords inherent to software coupling. We included publications from the period 2002 to 2017 and highly cited earlier publications. A snowballing technique was used to

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Section: Discussionmentioning

confidence: 84%

Section: Discussionmentioning

confidence: 87%

A survey on software coupling relations and tools

Fregnan

Baum

Palomba

et al. 2019

Information and Software Technology

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“…Rekayasa Perangkat Lunak merupakan suatu cabang ilmu profesi tentang teknik-teknik dalam mengembangkan perangkat lunak, mulai dari perencanaan, pembuatan, pengujian hingga pemeliharaan. Rekayasa perangkat lunak merupakan tugas yang rumit dan [1] Lebih dari dua dekade terakhir, penggunaan teknik berbasis objek lebih dominan dibandingkan dengan penggunaan teknik terstruktur untuk mengembangkan perangkat lunak [2]. Perangkat lunak yang dibangun dengan menggunakan konsep Object Oriented Programing (OOP) akan dilakukan pemrograman yang berpusat pada beberapa objek.…”

Section: Pendahuluanunclassified

“…Oleh karena itu, dipilih perhitungan kualitas desain berorientasi objek menggunakan metrik Cognitive Weighted Coupling Between Object (CWCBO). Metrik tersebut dipilih karena menurut [1], belum pernah ada metrik kopling yang didasarkan pada bobot pemahaman untuk menghitung perbedaan jenis kopling dari berbagai peneliti, sehingga metrik CWCBO yang dihitung berdasarkan bobot pemahaman diharapkan dapat mendefinisikan kopling pada berbagai tingkatan. Adanya perhitungan tersebut dirasa masih kurang efektif dan efisien jika dilakukan perhitungan secara manual dengan jumlah perangkat lunak yang banyak.…”

Section: Pendahuluanunclassified

Kakas Bantu Perhitungan Nilai Kopling Menggunakan Metrik Cognitive Weighted Coupling Between Object (CWCBO)

Pradana

Priyambadha

Ubaidillah

2017

KINETIK

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Konsep Object Oriented Programming (OOP) merupakan pemrograman yang dibangun dengan berpusat pada beberapa objek. Dengan konsep OOP dapat dilakukan pengukuran kualitas perangkat lunak dengan me-lalui kemungkinan hubungan antar beberapa objek atau kopling. Perangkat lunak yang baik adalah perangkat lunak yang memiliki desain yang baik, salah satu ciri-cirinya adalah memiliki nilai kopling yang rendah. Nilai kopling yang tinggi dapat menyebabkan desain perangkat lunak yang semakin kompleks dan buruk, sehingga akan mengakibatkan sulit untuk dipahami, terutama ketika dilakukan maintenance. Untuk meningkatkan kualitas perangkat lunak perlu mengontrol nilai kopling agar dapat meminimalkan kompleksitas perangkat lunak. Namun perhitungan nilai kopling secara manual pada jumlah perangkat lunak yang banyak akan membutuhkan waktu dan sumber daya yang besar. Oleh karena itu dibuatlah kakas bantu perhitungan nilai kopling menggunakan metrik Cognitive Weighted Coupling Between Object (CWCBO). Metrik CWCBO merupakan metrik kopling yang didasarkan pada bobot pemahaman untuk menghitung perbedaan jenis kopling dari berbagai peneliti. Kakas bantu tersebut dibangun dengan bahasa pemrograman utama Java, library Spoon untuk menganalisis source code, dan library JFreeChart untuk menampilkan grafik. Dari hasil pengujian akurasi sistem pada 5 program inputan berbahasa Java didapatkan akurasi sebesar 100%. Pengujian akurasi dilakukan dengan membandingkan perhi-tungan secara manual dan dengan sistem.Kata kunci: OOP, Kopling, CWCBO, Kode Sumber

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“…Aloysius and Arockiam [31] presented a new complexity metric called Cognitive Weighted Coupling Between Objects (CWCBO) for measuring the complexity of classes. It considers among others the cognitive complexity (based on the average comprehension time) of the five types of coupling introduced by Berard [32] in 1993 (control coupling, global data coupling, internal data coupling, data coupling and lexical content coupling).…”

Section: A Selected Papersmentioning

confidence: 99%

Evolution of Object Oriented Coupling Metrics: A Sampling of 25 Years of Research

Nicolaescu

Lichter

2015

2015 IEEE/ACM 2nd International Workshop on Software Architecture and Metrics

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Coupling is one of the most important properties that affect the quality of the design and implementation of a software system. In the context of object oriented software development, coupling metrics and their impact on quality attributes have been investigated for a quarter of a century. In this work we review and critically analyze the developments in this domain by considering 26 of the most influential research papers addressing object oriented coupling. Our analysis reveals that a very strong theoretical background has been already developed but unfortunately without a clear impact on the industry practices and software analysis tooling. Even more, recent developments fail to address this problem and seem to even contribute to increasing this gap. We argue that the direction of current research should be shifted towards systematizing and evaluating existing results rather than exploring new applicability domains and defining new metric suites.

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Coupling Complexity Metric: A Cognitive Approach

Cited by 12 publications

References 19 publications

A survey on software coupling relations and tools

A survey on software coupling relations and tools

Kakas Bantu Perhitungan Nilai Kopling Menggunakan Metrik Cognitive Weighted Coupling Between Object (CWCBO)

Evolution of Object Oriented Coupling Metrics: A Sampling of 25 Years of Research

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