A Methodology for Constructing Maintainability Model of Object-Oriented Design
QSIC '04 Proceedings of the Quality Software, Fourth International Conference
A comparison of metrics for UML class diagrams
ACM SIGSOFT Software Engineering Notes
Empirical analysis of entropy distance metric for UML class diagrams
ACM SIGSOFT Software Engineering Notes
Data & Knowledge Engineering - Special issue: Quality in conceptual modeling
Building measure-based prediction models for UML class diagram maintainability
Empirical Software Engineering
ACM SIGSOFT Software Engineering Notes
Assessment of maintainability metrics for object-oriented software system
ACM SIGSOFT Software Engineering Notes
A correlational study on four measures of requirements volatility
EASE'08 Proceedings of the 12th international conference on Evaluation and Assessment in Software Engineering
An approach to measure understandability of extended UML based on metamodel
ICCSA'12 Proceedings of the 12th international conference on Computational Science and Its Applications - Volume Part IV
Dependability modeling and analysis of software systems specified with UML
ACM Computing Surveys (CSUR)
A roadmap for software maintainability measurement
Proceedings of the 2013 International Conference on Software Engineering
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The fact that the usage of metrics in the analysis and design of object oriented (OO) software can help designers make better decisions is gaining relevance in software measurement arena. Moreover, the necessity of having early indicators of external quality attributes, such asmaintainability, based on early metrics is growing. In addition to this, the aim of the present paper is to show how early metrics which measure internal attributes, such as structural complexity and size of UML class diagrams, can be used as early class diagram maintainability indicators. For this purpose, we present a controlled experiment and its replication, which we carried out to gather the empirical data which in turn is the basis of the current study. From theresults obtained, it seems that there is a reasonable chance that useful class diagram maintainability models could be built based on early metrics. Despite this fact, more empiricalstudies, especially using data taken form real projects performed in industrial settings, are needed in order to obtain a comprehensive body of knowledge and experience.