A method for assessing the reusability of object-oriented code using a validated set of automated measurements

Dandashi, Fatma

doi:10.1145/508791.508985

Cited by 33 publications

(26 citation statements)

References 35 publications

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“…We used previously published research that correlates software metrics with the external quality attributes under investigation. The work of Dandashi [35] was used to assess adaptability, maintainability, understandability, and reusability, while that of Bruntink and Deursen [36] was used to assess testability. These two studies were chosen because they had significant correlation levels.…”

Section: Analysis and Resultsmentioning

confidence: 99%

“…During the investigation of the effect of refactoring methods on external quality attributes, we relied on previous studies [36,35] that correlated internal quality metrics and external quality attributes without validating their results. Thus our findings are subject to the significance of the previous correlations.…”

Section: Threats To Validitymentioning

confidence: 99%

“…Dandashi [35] demonstrated a method for assessing indirect quality attributes such as adaptability, maintainability, understandability, and reusability of object-oriented systems from the direct quality attributes. Bruntink and Deursen [36] identified and evaluated a set of object-oriented metrics that can be used to estimate the testing effort of classes of object-oriented software.…”

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confidence: 99%

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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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Section: Analysis and Resultsmentioning

confidence: 99%

Section: Threats To Validitymentioning

confidence: 99%

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confidence: 99%

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The Impact of Refactoring to Patterns on Software Quality Attributes

Alshayeb

2011

Arab J Sci Eng

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“…Moreover, they capture important characteristics of object-oriented design: inheritance by (DIT, NOC), coupling by (CBO, RFC, FOUT), size/complexity by (WMC, NOM, LOC) and cohesion by (LCOM). Additionally, they have been used by several previous empirical studies, such as [22][23][24][25][26][27][28] in investigating their correlation with external software quality attributes. In particular, these metrics were investigated by: (i) Dandashi [26], to assess adaptability, completeness, maintainability, understandability and reusability; and (ii) Bruntink and van Deursen [27], to assess testability.…”

Section: Internal Quality Attributes Under Studymentioning

confidence: 99%

A Classification of Refactoring Methods Based on Software Quality Attributes

Elish

Alshayeb

2011

Arab J Sci Eng

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Refactoring is the process of improving the design of existing code by changing its internal structure without affecting its external behavior. Refactoring tends to improve software quality by improving design, improving readability and reducing 'bugs'. There are many different refactoring methods, each having a particular purpose and effect. Consequently, the effect of refactoring methods on software quality attributes may vary. Moreover, it is often unclear to software designers how to use refactoring methods to improve specific quality attributes. In this paper, we propose a classification of refactoring methods based on their measurable effect on software quality attributes. This, in turn, helps software designers choose appropriate refactoring methods that will improve the quality of their designs, based on the design objectives. It also enables them to predict the quality drift caused by using particular refactoring methods.

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“…A product contains components of different composition scales (Jonge 2004). A considerable amount of research has been done to try to characterize reusable (Price and Demurjian 1997;Biggerstaff and Perlis 1989;Briand et al 1994;Card and Glass 1990;Dandashi 2002) and maintainable (Berns 1984;Gibson and Senn 1989;Banker et al 1993) software components. Both reusability and maintainability are related to software dependency.…”

Section: Introductionmentioning

confidence: 99%

Multiple-parameter coupling metrics for layered component-based software

Chen

Ramaswamy

2008

Software Qual J

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Coupling represents the degree of interdependence between two software components. Understanding software dependency is directly related to improving software understandability, maintainability, and reusability. In this paper, we analyze the difference between component coupling and component dependency, introduce a two-parameter component coupling metric and a three-parameter component dependency metric. An important parameter in both these metrics is coupling distance, which represents the relevance of two coupled components. These metrics are applicable to layered componentbased software. These metrics can be used to represent the dependencies induced by all types of software coupling. We show how to determine coupling and dependency of all scales of software components using these metrics. These metrics are then applied to Apache HTTP, an open-source web server. The study shows that coupling distance is related to the number of modifications of a component, which is an important indicator of component fault rate, stability and subsequently, component complexity.

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A method for assessing the reusability of object-oriented code using a validated set of automated measurements

Cited by 33 publications

References 35 publications

The Impact of Refactoring to Patterns on Software Quality Attributes

The Impact of Refactoring to Patterns on Software Quality Attributes

A Classification of Refactoring Methods Based on Software Quality Attributes

Multiple-parameter coupling metrics for layered component-based software

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