Profiling software through the use of metrics
Software—Practice & Experience
A tutorial on AIM and abductive modeling
AI Review
System acquisition based on software product assessment
Proceedings of the 18th international conference on Software engineering
Emerald: Software Metrics and Models on the Desktop
IEEE Software
ARMOR: Analyzer for Reducing Module Operational Risk
FTCS '95 Proceedings of the Twenty-Fifth International Symposium on Fault-Tolerant Computing
The Confounding Effect of Class Size on the Validity of Object-Oriented Metrics
IEEE Transactions on Software Engineering
Object-oriented metrics: A review of theory and practice
Advances in software engineering
Classification Tree Models of Software Quality Over Multiple Releases
ISSRE '99 Proceedings of the 10th International Symposium on Software Reliability Engineering
An empirical comparison and characterization of high defect and high complexity modules
Journal of Systems and Software
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Enhanced Measurement for Early Risk Assessment of Latent Defects (EMERALD) is a decision support system for assessing reliability risk. It is used by software developers and managers to improve telecommunications software service quality as perceived by the customer and the end user. Risk models are based on static characteristics of source code. This paper shows how a system such as EMERALD can enhance software development, testing, and maintenance by integration of: a software quality improvement strategy; measurements and models; and delivery of results to the desktop of developers in a timely manner. This paper also summarizes empirical experiments with EMERALD's models using data from large industrial telecommunications software systems. EMERALD has been applied to a very large system with over 12 million lines of source code within procedures. Experience and lessons learned are also discussed.