Correlation between Object-Oriented Metrics and Refactoring

Boshnakoska, Daniela; Misev, Anastas

doi:10.1007/978-3-642-19325-5_23

Cited by 4 publications

(4 citation statements)

References 6 publications

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“…Figure 5d depicts the distribution of PSs among these categories. Figure 12 shows the number of PSs that used at least one measure from the well-known metric suites [57,68]. The most commonly known metric suites include MOOSE [69][70], EMOOSE [71], L&K [72], Briand et al [73], MOOD [74] and QMOOD [75] measures.…”

Section: Rq2mentioning

confidence: 99%

“…In addition, four PSs considered internal quality measures to investigate the impact of refactoring on internal as well as external (as surrogates) quality attributes. Figure 12 shows the number of PSs that used at least one measure from the well-known metric suites [57,68].…”

Section: Rq2mentioning

confidence: 99%

“…Among 106 PSs that reported the use of internal quality measures, 74 PSs carried out their research on the measures from the aforementioned metric suites. Despite the other metric suites, MOOSE (also known as CK [68]) measures appeared in nearly half (37.3%) of the PSs. The 'others' category includes the PSs that considered internal measures proposed by other researchers.…”

Section: Rq2mentioning

confidence: 99%

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How does object-oriented code refactoring influence software quality? Research landscape and challenges

Kaur

Singh

2019

Journal of Systems and Software

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Context: Software refactoring aims to improve software quality and developer productivity. Numerous empirical studies investigating the impact of refactoring activities on software quality have been conducted over the last two decades.Objective: This study aims to perform a comprehensive systematic mapping study of existing empirical studies on evaluation of the effect of object-oriented code refactoring activities on software quality attributes. Method:We followed a multi-stage scrutinizing process to select 142 primary studies published till December 2017. The selected primary studies were further classified based on several aspects to answer the research questions defined for this work. In addition, we applied vote-counting approach to combine the empirical results and their analysis reported in primary studies. Results:The findings indicate that studies conducted in academic settings found more positive impact of refactoring on software quality than studies performed in industries. In general, refactoring activities caused all quality attributes to improve or degrade except for cohesion, complexity, inheritance, fault-proneness and power consumption attributes. Furthermore, individual refactoring activities have variable effects on most quality attributes explored in primary studies, indicating that refactoring does not always improve all quality attributes. Conclusions:This study points out several open issues which require further investigation, e.g., lack of industrial validation, lesser coverage of refactoring activities, limited tool support, etc.Keywords: Software quality, object-oriented software, refactoring activity, quality measures, systematic mapping study.© 2019. This manuscript version is made available under the CC-BY-NC-ND 4.0 License http://creativecommons.org/licenses/by-nc-nd/4.0/ 1. Various industry practitioners are oblivious to the impact of refactoring activities on software quality.Consequently, while performing any refactoring activity, they feel reluctant as they believe refactoring may either break the code or result in the wastage of resources [16][17]. Their concerns can be attributed to the scarcity of appropriate sources that discuss state-of-the-art of software refactoring process and its benefits in a lucid manner. Hence, this paper reports an in-depth systematic mapping study (SMS) to analyse, synthesize and present the empirical findings related to the effect of refactoring activities targeting code smells on software quality. Awareness about the effect of planned refactoring changes on software quality will boost the confidence of developers in exercising software refactoring as regular development practice. 2. Retrospectively, it is observed that so far there have been only four literature surveys covering the relationship between refactoring and software quality. Among them, three [18][19][20] partially and one comprehensively (Dallal and Abdin; published in 2017 covering the literature till 2015) [21] explored the impact of refactoring activities on object-oriented softw...

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Section: Rq2mentioning

confidence: 99%

Section: Rq2mentioning

confidence: 99%

Section: Rq2mentioning

confidence: 99%

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How does object-oriented code refactoring influence software quality? Research landscape and challenges

Kaur

Singh

2019

Journal of Systems and Software

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“…They focused on three refactoring methods: "Encapsulate Field", "Pull up Method", and "Extract Method" and analyzed their impact on internal program quality metrics (NOM, NOC, CBO, RFC, and LCOM). Boshnakoska and Mišev [21] investigated the correlation between Object-Oriented metrics and refactoring. They used an extended C&K metrics suite and concluded that object-oriented metrics can be used to identify classes that require immediate attention Kosker et al [22] proposed a machine learning based model, using Weighted Naive Bayes, to predict classes to be refactored by analyzing the code complexity.…”

Section: Related Workmentioning

confidence: 99%

Using Software Quality Attributes to Classify Refactoring to Patterns

Elish¹,

Alshayeb²

2012

JSW

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Refactoring to patterns allows software designers to safely move their designs towards specific design patterns by applying multiple low-level refactorings. There are many different refactoring to pattern techniques, each with a particular purpose and a varying effect on software quality attributes. Thus far, software designers do not have a clear means to choose refactoring to pattern techniques to improve certain quality attributes. This paper takes the first step towards a classification of refactoring to pattern techniques based on their measurable effect on software quality attributes. This classification helps software designers in selecting the appropriate refactoring to pattern techniques that will improve the quality of their design based on their design objectives. It also enables them to predict the quality drift caused by using specific refactoring to pattern techniques

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Constructing models for predicting extract subclass refactoring opportunities using object-oriented quality metrics

Dallal

2012

Information and Software Technology

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Correlation between Object-Oriented Metrics and Refactoring

Cited by 4 publications

References 6 publications

How does object-oriented code refactoring influence software quality? Research landscape and challenges

How does object-oriented code refactoring influence software quality? Research landscape and challenges

Using Software Quality Attributes to Classify Refactoring to Patterns

Constructing models for predicting extract subclass refactoring opportunities using object-oriented quality metrics

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