A Practical View of Software Measurement and Implementation Experiences Within Motorola
IEEE Transactions on Software Engineering - Special issue on software measurement principles, techniques, and environments
Software testing in the real world: improving the process
Software testing in the real world: improving the process
Algorithm 761: Scattered-data surface fitting that has the accuracy of a cubic polynomial
ACM Transactions on Mathematical Software (TOMS)
An introduction to database systems (7th ed.)
An introduction to database systems (7th ed.)
Predicting Fault Incidence Using Software Change History
IEEE Transactions on Software Engineering
A framework for testing database applications
Proceedings of the 2000 ACM SIGSOFT international symposium on Software testing and analysis
Metrics and Models in Software Quality Engineering
Metrics and Models in Software Quality Engineering
Database Management Systems
Quantitative Analysis of Faults and Failures in a Complex Software System
IEEE Transactions on Software Engineering
An empirical evaluation of system and regression testing
CASCON '02 Proceedings of the 2002 conference of the Centre for Advanced Studies on Collaborative research
Developing More Reliable Software Faster and Cheaper
ICECCS '99 Proceedings of the 5th International Conference on Engineering of Complex Computer Systems
Privacy preserving database application testing
Proceedings of the 2003 ACM workshop on Privacy in the electronic society
Testing web database applications
ACM SIGSOFT Software Engineering Notes
Using an SQL coverage measurement for testing database applications
Proceedings of the 12th ACM SIGSOFT twelfth international symposium on Foundations of software engineering
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Data management lies at the core of most modern information technology deployments. Accordingly, the reliability of the database management system (DBMS) is critical to the reputation and success of both its vendors and their clients. However, there is a dearth of work in the literature focused on the reliability of the DBMS. More specifically, research is yet to be focused on the variables that influence DBMS reliability and the relationships between these variables. We present an initial case study focused on the relationships between component type, usage profiles, component size, component changes, component usage, and defect yield. The system under study is a distributed enterprise relational DBMS.