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Journal ArticleDOI

Object-oriented metrics that predict maintainability

Wei Li, +1 more
- 01 Nov 1993 - 
- Vol. 23, Iss: 2, pp 111-122
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TLDR
This research concentrates on several object-oriented software metrics and the validation of these metrics with maintenance effort in two commercial systems.
About
This article is published in Journal of Systems and Software.The article was published on 1993-11-01. It has received 1111 citations till now. The article focuses on the topics: Halstead complexity measures & Software metric.

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Citations
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Definition and validation of requirements management measures

TL;DR: The quality of software systems depends on early activities in the software development process, of which the management of requirements is one.

A Definition of the Chidamber and Kemerer Metrics suite for UML

TL;DR: This work specifies how the Chidamber and Kemerer metrics suite can be measured from Unified Modelled Language class diagrams by presenting formal definitions for these metrics using the Unified Modelling Language 2.0 metamodel.
Book ChapterDOI

Lessons learned from automated analysis of industrial UML class models (an experience report)

TL;DR: In this paper, the authors examined the use of an automated analysis tool on industrial software UML class models, where one set of models was created as part of the design process and the other was obtained from reverse engineering code.
Proceedings ArticleDOI

Analysis of quality of object oriented systems using object oriented metrics

TL;DR: This paper focuses on an empirical evaluation of object oriented metrics in C++ to provide significant insight about the object oriented characteristics of the projects.
Journal ArticleDOI

An aggregated coupling measure for the analysis of object-oriented software systems

TL;DR: A new aggregated coupling measurement which captures both the structural and the conceptual characteristics of coupling between the software components is introduced which is also effective for change impact analysis.
References
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Book

A complexity measure

TL;DR: In this paper, a graph-theoretic complexity measure for managing and controlling program complexity is presented. But the complexity is independent of physical size, and complexity depends only on the decision structure of a program.
Journal ArticleDOI

A Complexity Measure

TL;DR: Several properties of the graph-theoretic complexity are proved which show, for example, that complexity is independent of physical size and complexity depends only on the decision structure of a program.
Book

Towards a metrics suite for object oriented design

TL;DR: These metrics are based upon measurement theory and are informed by the insights of experienced object-oriented software developers, and formally evaluated against a widelyaccepted list of software metric evaluation criteria.
Journal ArticleDOI

Software Structure Metrics Based on Information Flow

TL;DR: This paper defines and validates a set of software metrics which are appropriate for evaluating the structure of large-scale systems and can be interpreted to reveal various types of structural flaws in the design and implementation.
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