Effectiveness of traditional software metrics for object-oriented systems

Tegarden, David P.; Sheetz, Steven D.; Monarchi, David E.

doi:10.1109/hicss.1992.183365

Cited by 46 publications

(25 citation statements)

References 7 publications

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“…A hypothetical system is used in this section only to illustrate use of the metrics, similar to [30]. In the later sections data from actual commercial systems in the finance domain are presented.…”

Section: A Base System (Version 10)mentioning

confidence: 99%

Managerial use of metrics for object-oriented software: an exploratory analysis

Chidamber

Darcy

Kemerer

1998

IIEEE Trans. Software Eng.

327

206

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Abstract-With the increasing use of object-oriented methods in new software development there is a growing need to both document and improve current practice in object-oriented design and development. In response to this need, a number of researchers have developed various metrics for object-oriented systems as proposed aids to the management of these systems. In this research an analysis of a set of metrics proposed by Chidamber and Kemerer [10] is performed in order to assess their usefulness for practicing managers. First, an informal introduction to the metrics is provided by way of an extended example of their managerial use. Second, exploratory analyses of empirical data relating the metrics to productivity, rework effort, and design effort on three commercial object-oriented systems are provided. The empirical results suggest that the metrics provide significant explanatory power for variations in these economic variables, over and above that provided by traditional measures, such as size in lines of code, and after controlling for the effects of individual developers.

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Section: A Base System (Version 10)mentioning

confidence: 99%

Managerial use of metrics for object-oriented software: an exploratory analysis

Chidamber

Darcy

Kemerer

1998

IIEEE Trans. Software Eng.

327

206

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“…The former approach to identify a set of object-oriented metrics was to focus on the primary, critical constructs of object-oriented design and to select metrics that apply to those areas [4]. The metrics are supported by most literature and some object-oriented tools.…”

Section: Metrics or The Evaluation Criteriamentioning

confidence: 99%

Research of Improving the Quality of the Object-Oriented System

Huang¹,

Li²,

Li³

2013

IJIET

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Abstract-This research seeks to describe concepts and techniques to improve the quality of the object-oriented System. Object-oriented design is a popular concept in today's system development. Many metrics relating to product quality have proved their value for system maintenance and modification. The paper introduces the use of three traditional metrics and presents six additional metrics specifically for object-oriented systems. The object-oriented metrics criteria selescted are used to evaluate the system attributes. A brief description of the object-oriented structure is given. Each metric is then described, interpretation guidelines given, and the applicable quality attributes listed. Future work will be to define criteria for the metrics. Acceptable ranges for each metric will have to developed based on the effect of the metric on desirable system qualities.

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“…Counting the SLOC is one of the earliest and easiest approaches to measuring complexity. It is also the most criticized approach [6]. In general the higher the SLOC in a module the less understandable and maintainable the module is.…”

Section: Source Lines Of Code (Sloc)mentioning

confidence: 99%

Importance of Inheritance and Interface in OOP Paradigm Measure through Coupling Metrics

Goyal¹,

Patel²

2012

IJAIS

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A large numbers of metrics have been proposed for measuring properties of object-oriented software such as size, inheritance, cohesion and coupling. The coupling metrics presented in this paper exploring the difference between inheritance and interface programming. This paper presents a measurement to measure coupling between object (CBO), number of associations between classes (NASSocC), number of dependencies in metric (NDepIN) , number of dependencies out metric (NDepOut) , Number of children (NOC) and Depth of Inheritance Tree (DIT) in object oriented programming. A measurement is done for C# inheritance and interface programs. The metric values of class inheritance and interface prove which program is good to use and beneficial for C# developers.

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Effectiveness of traditional software metrics for object-oriented systems

Cited by 46 publications

References 7 publications

Managerial use of metrics for object-oriented software: an exploratory analysis

Managerial use of metrics for object-oriented software: an exploratory analysis

Research of Improving the Quality of the Object-Oriented System

Importance of Inheritance and Interface in OOP Paradigm Measure through Coupling Metrics

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