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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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Proceedings Article

Exploring Empirically the Relationship between Lack of Cohesion in Object-oriented Systems and Coupling and Size.

TL;DR: Evidence is provided that a lack of cohesion in object-oriented systems may actually be associated with (high) coupling and (large) size.
Journal Article

Assessing impact of class change by mining class associations.

TL;DR: The results indicate that by mining associations among the classes, the development team can effectively estimate the probable impact of the class change and these measures can be very helpful to perform changes to the classes while maintaining the software system.

Towards Understanding the Understandability of Diagrams

TL;DR: The main insight of this study is that the tested aspects at sentence level seem to have a bigger impact on perceived diagram understandability than the tested notation level aspects.
Proceedings ArticleDOI

Predicting reliability by severity and priority of defects

TL;DR: The goal is to identify the applicability of object-oriented design metrics for reliability prediction, and proposed a new reliability metric at the class level considering two perspectives related to failures/bugs found, i.e. priority and severity.
Journal ArticleDOI

Prediction of software quality using neuro-fuzzy model

TL;DR: The prediction model proposed is a hybrid one with the combination of neural network and fuzzy logic, which discards their individual limitations, which provides some features which are able to deal with various objectives at the time of software development process.
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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