A comparison of metrics for UML class diagrams

Tong, Yanhong; Wu, Fangjun; Cheng-zhi, Gan

doi:10.1145/1022494.1022523

Cited by 19 publications

(12 citation statements)

References 19 publications

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“…On the contrary, many metrics have been proposed for measuring metamodel or ontology complexity [Mens and Lanza 2002;Yi et al 2004;Yoa et al 2005;Ma et al 2010]. Thus, the SQMM quality can be speculated by assessing the SQMM complexity through one of these metrics in combination with the SQMM richness.…”

Section: Expressiveness In Constraint Descriptionmentioning

confidence: 99%

A survey on service quality description

et al. 2013

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Quality of service (QoS) can be a critical element for achieving the business goals of a service provider, for the acceptance of a service by the user, or for guaranteeing service characteristics in a composition of services, where a service is defined as either a software or a software-support (i.e., infrastructural) service which is available on any type of network or electronic channel. The goal of this article is to compare the approaches to QoS description in the literature, where several models and metamodels are included. consider a large spectrum of models and metamodels to describe service quality, ranging from ontological approaches to define quality measures, metrics, and dimensions, to metamodels enabling the specification of quality-based service requirements and capabilities as well as of SLAs (Service-Level Agreements) and SLA templates for service provisioning. Our survey is performed by inspecting the characteristics of the available approaches to reveal which are the consolidated ones and which are the ones specific to given aspects and to analyze where the need for further research and investigation lies. The approaches here illustrated have been selected based on a systematic review of conference proceedings and journals spanning various research areas in computer science and engineering, including: distributed, information, and telecommunication systems, networks and security, and service-oriented and grid computing.

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Section: Expressiveness In Constraint Descriptionmentioning

confidence: 99%

A survey on service quality description

et al. 2013

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“…On one hand, obviously, it is difficult to measure the macroscopic properties independent of OOP (such as the shortest path length) in complex software systems with OO software metrics [6] or even class diagram-scope metrics [15,20] . For instance, there is a lack of metrics for the influence of a class or a relationship on the whole system.…”

Section: Summary Of Traditional Metricsmentioning

confidence: 99%

“…Since 2000, a few new metrics have gradually been put forward to measure structural complexity [16][17] , maintainability [18] , understandability and modifiability [19] of UML class diagrams. Despite the perceived effectiveness for some special design features of OO software systems, they still have some shortcomings, e.g., no consensus has yet been reached on measuring structural complexity of UML class diagrams [20] . Therefore, it is difficult to make a sensible choice when software engineers evaluate the quality of their design artifacts.…”

Section: Introductionmentioning

confidence: 99%

A Hybrid Set of Complexity Metrics for Large-Scale Object-Oriented Software Systems

et al. 2010

J. Comput. Sci. Technol.

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Ma YT, He KQ, Li B et al. A hybrid set of complexity metrics for large-scale object-oriented software systems. AbstractLarge-scale object-oriented (OO) software systems have recently been found to share global network characteristics such as small world and scale free, which go beyond the scope of traditional software measurement and assessment methodologies. To measure the complexity at various levels of granularity, namely graph, class (and object) and source code, we propose a hierarchical set of metrics in terms of coupling and cohesion -the most important characteristics of software, and analyze a sample of 12 open-source OO software systems to empirically validate the set. Experimental results of the correlations between cross-level metrics indicate that the graph measures of our set complement traditional software metrics well from the viewpoint of network thinking, and provide more effective information about fault-prone classes in practice.

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“…It provides a range of object oriented diagrammatic notations for expressing the structural and behavioral aspects of software systems. The class diagram has important in the software design phase for early estimation of maintainability may help a software designer for improves a software design and corrections [4]. This paper is organized as follows: Section 2 describes the related works for establish the maintainability estimation model.…”

Section: Introductionmentioning

confidence: 99%

A Maintainability Estimation Model and Tool

Hincheeranan¹,

Rivepiboon²

2012

IJCCE

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Abstract-A measuring maintainability of software system in the design phase, may help a software designer must improves the maintainability of software system before deliver to a customer. In this paper presents a multivariate linear regression for establish the maintainability estimation model in terms of flexibility and extendibility are sub-characteristics of maintainability as criteria to evaluate maintainability model of class diagram and develop the Maintainability Estimation Tool (MET) for a maintainability estimation of class diagram. This tool help a software designer for improves the maintainability of class diagram in design phase and help reduces the increasing high cost of software maintenance phase. Index Terms-object-oriented q uality attribute.

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A comparison of metrics for UML class diagrams

Cited by 19 publications

References 19 publications

A survey on service quality description

A survey on service quality description

A Hybrid Set of Complexity Metrics for Large-Scale Object-Oriented Software Systems

A Maintainability Estimation Model and Tool

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