An Empirical Study of Software Metrics
IEEE Transactions on Software Engineering
Measuring software design quality
Measuring software design quality
An experiment in software sizing with structured analysis metrics
Journal of Systems and Software
Property-Based Software Engineering Measurement
IEEE Transactions on Software Engineering
Object-oriented metrics: measures of complexity
Object-oriented metrics: measures of complexity
The relationship between theory and practice in software engineering
Communications of the ACM
Journal of Systems and Software
SQL: 1999, formerly known as SQL3
ACM SIGMOD Record
A Framework of Software Measurement
A Framework of Software Measurement
Practical Software Maintenance: Best Practices for Managing Your Software Investment
Practical Software Maintenance: Best Practices for Managing Your Software Investment
Software Metrics: A Rigorous Approach
Software Metrics: A Rigorous Approach
An Experimental Comparison of the Maintainability of Object-Oriented and Structured Design Documents
ICSM '97 Proceedings of the International Conference on Software Maintenance
Metrics for Database Systems: An Empirical Study
METRICS '97 Proceedings of the 4th International Symposium on Software Metrics
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Nowadays, relational databases are introduced in most of the Information Systems, becoming their essential core. The relational database language, SQL, is being increasingly used for application development. Software engineers have been putting forward huge quantities of measures for software products, processes and resources. Unfortunately, almost all the measures proposed until now, have focused on 3GL program characteristics disregarding databases and their associated languages. Only a few author have proposed some metrics for 4GL effort estimation. In this article we describe three simple measures for assessing SQL code maintainability. Both an experiment with students and a real case in a state owned organization have empirically validated these measures as maintainability indicators.