A Quantitative Evaluation of Software Quality Enhancement by Refactoring Using Dependency Oriented Complexity Metrics

Reddy, K. Narendar; Rao, A. Ananda

doi:10.1109/icetet.2009.17

Cited by 6 publications

(5 citation statements)

References 12 publications

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“…Geppert et al [23] empirically investigated the impact of refactoring on changeability, while Wilking et al [24] investigated the effect thereof on maintainability and modifiability. Reddy and Rao [31] quantitatively evaluated the quality enhancement by refactoring using dependency oriented complexity metrics. They found that the metrics successfully indicate quantitatively the presence of defects and the improvement in the quality of designs after refactoring.…”

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confidence: 99%

The Impact of Refactoring to Patterns on Software Quality Attributes

Alshayeb

2011

Arab J Sci Eng

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The search for techniques to improve software quality and achieve robust, reliable, and maintainable software is ongoing. Refactoring, an approach that improves the internal structure of software without affecting its external behavior, is one method that aims to achieve better quality. Refactoring to patterns is another. The goal of this paper is to investigate whether refactoring to patterns improves software quality. This is done empirically by examining the metric values of external quality attributes for different software systems before and after refactoring to patterns is applied. We found no consistent improvement trends in the software quality attributes. This is because each refactoring to patterns technique has a particular purpose and effect, and hence affects software quality attributes differently.

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confidence: 99%

The Impact of Refactoring to Patterns on Software Quality Attributes

Alshayeb

2011

Arab J Sci Eng

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“…et al [13] Graph-based Maintainability, Bug severity MD=2, MQ=1, LV=3, USB=2, CA=1, AP=3, TS=2 Elish [22] Internal structure Understandability MD=-, MQ=1, LV=4, USB=3, CA=1, AP=2, TS=2 Gupta et al [27] Internal structure Understandability MD=3, MQ=1, LV=2, USB=2, CA=1, AP=2, TS=2 Gupta et al [28] Internal structure Reusability MD=3, MQ=3, LV=1, USB=2, CA=2, AP=2, TS=2 Haohua et al [29] Graph-based Complexity MD=2, MQ=1, LV=3, USB=2, CA=1, AP=2, TS=2 Hu et al [30] Specific model Maintainability MD=2, MQ=2, LV=2, USB=2, CA=1, AP=2, TS=1 Hwa et al [31] Internal structure Understandability MD=2, MQ=3, LV=2, USB=2, CA=1, AP=2, TS=2 Kanjilal et al [32] Graph-based Complexity MD=2, MQ=1, LV=2, USB=3, CA=1, AP=2, TS=1 Lindvall et al [44] Internal structure Maintainability MD=1, MQ=3, LV=2, USB=2, CA=1, AP=3, TS=2 Ma et al [45,46] Graph-based Complexity, Fault rate MD=-, MQ=1, LV=4, USB=2, CA=2, AP=2, TS=2 Misic [47] Internal structure External coherence MD=3, MQ=1, LV=1, USB=3, CA=1, AP=2, TS=1 Reddy et al [52] Graph-based Complexity MD=2, MQ=3, LV=1, USB=2, CA=2, AP=2, TS=1 Salman [54] Internal structure Maintainability, Integrability MD=3, MQ=1, LV=3, USB=3, CA=1, AP=2, TS=1 Sarkar et al [57] Internal structure Modularization MD=2, MQ=1, LV=3, USB=2, CA=1, AP=2, TS=2 Sartipi [58] Graph-based Modularization MD=2, MQ=1, LV=2, USB=2, CA=1, AP=3, TS=2 Sheresh. et al [60] Specific model -MD=2, MQ=2, LV=-, USB=1, CA=1, AP=1, TS=1 Wei et al [61] Graph-based -MD=2, MQ=1, LV=-, USB=2, CA=1, AP=1, TS=1 Yu et al [62] Specific model Fault rate MD=1, MQ=1, LV=2, USB=2, CA=1, AP=2, TS=2 Zhou et al [63] Graph-based External coherence MD=3, MQ=1, LV=2, USB=2, CA=2, AP=2, TS=2…”

Section: Referencementioning

confidence: 98%

“…Metrics values confirmed the degradation of the modularization quality. Reddy et al [52] used the dependency oriented complexity metrics to evaluate the improvement in quality (reduced complexity) after refactoring.…”

Section: Measured Software Artefacts and Attributes (Rq1)mentioning

confidence: 99%

Software metrics for measuring the understandability of architectural structures

Stevanetic

Zdun

2015

Proceedings of the 19th International Conference on Evaluation and Assessment in Software Engineering

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The main idea of software architecture is to concentrate on the "big picture" of a software system. In the context of object-oriented software systems higher-level architectural structures or views above the level of classes are frequently used to capture the "big picture" of the system. One of the critical aspects of these higher-level views is understandability, as one of their main purposes is to enable designers to abstract away fine-grained details. In this article we present a systematic mapping study on software metrics related to the understandability concepts of such higher-level software structures with regard to their relations to the system implementation. In our systematic mapping study, we started from 3951 studies obtained using an electronic search in the four digital libraries from ACM, IEEE, Scopus, and Springer. After applying our inclusion/exclusion criteria as well as the snowballing technique we selected 268 studies for in-depth study. From those, we selected 25 studies that contain relevant metrics. We classify the identified studies and metrics with regard to the measured artefacts, attributes, quality characteristics, and representation model used for the metrics definitions. Additionally, we present the assessment of the maturity level of the identified studies. Overall, there is a lack of maturity in the studies. We discuss possible techniques how to mitigate the identified problems. From the academic point of view we believe that our study is a good starting point for future studies aiming at improving the existing works. From a practitioner's point of view, the results of our study can be used as a catalogue and an indication of the maturity of the existing research results.

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“…Salah satu cara perbaikan kualitas adalah refactoring. Reddy and Rao [13] mengusulkan metode untuk mendeteksi cacat dari desain dan melakukan perbaikan kualitas dari perangkat lunak dengan melakukan refactoring. Metode yang diusulkan tersebut, menghitung nilai Dcoupling antar artifak pada kelas yang menjadi indikator tingkat ketergantungan kelas pada desain.…”

Section: Peningkatan Kualitas Perangkat Lunakunclassified

“…Proses evaluasi dilakukan dengan memperhatikan nilai hasil pengukuran dan threshold yang diinginkan, sehingga desain dapat disimpulkan dapat diterima, harus diperbaiki, atau harus diganti. Jika desain harus diperbaiki, maka dilakukan proses penentuan class-class yang berpotensi terdapat kesalahan pada desain melalui perhitungan metrik Coupling Between Object (CBO) [16], atau DCoupling yang diperkenalkan oleh Reddy & Rao [13]. Jika hasil perhitungan diatas nilai threshold, maka kelas-kelas tersebut memiliki kompleksitas yang tinggi dan berpotensi merupakan sumber kesalahan pada implementasi.…”

Section: Evaluation Phaseunclassified

Evaluasi dan Perbaikan Kualitas Desain Diagram Kelas

Halim¹

2012

J. Sifo Mikrosk.

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Dalam proses pengembangan dan pemeliharaan proyek perangkat lunak, kualitas merupakan salah satu hal penting yang menjadi penentu keberhasilan perangkat lunak.Kesalahan yang tidak ditemukan pada awal pengembangan akan membutuhkan sumber daya, biaya, dan waktu perbaikan yang lebih tinggi. Salah satu tahapan yang dilakukan saat proses pengembangan perangkat lunak adalah pemodelan data. Pada perangkat lunak yang berorientasi objek, data biasanya dimodelkan dalam bentuk diagram kelas. Kualitas pada diagram kelas sangat tergantung pada pengetahuan dari perancang. Oleh karena itu, berbagai metrik telah dikembangkan untuk menilai kualitas desain dari berbagai aspek. Pada paper ini, Penulis mengusulkan sebuah pendekatan dan model untuk mengevaluasi, mendeteksi, dan memperbaiki desain kelas diagram, sehingga sesuai dengan kriteria kualitas yang diharapkan.

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A Quantitative Evaluation of Software Quality Enhancement by Refactoring Using Dependency Oriented Complexity Metrics

Cited by 6 publications

References 12 publications

The Impact of Refactoring to Patterns on Software Quality Attributes

The Impact of Refactoring to Patterns on Software Quality Attributes

Software metrics for measuring the understandability of architectural structures

Evaluasi dan Perbaikan Kualitas Desain Diagram Kelas

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