Proceedings of the 14th ACM SIGSOFT international symposium on Foundations of software engineering
Predicting Faults from Cached History
ICSE '07 Proceedings of the 29th international conference on Software Engineering
Learning from bug-introducing changes to prevent fault prone code
Ninth international workshop on Principles of software evolution: in conjunction with the 6th ESEC/FSE joint meeting
Predicting buggy changes inside an integrated development environment
Proceedings of the 2007 OOPSLA workshop on eclipse technology eXchange
Revisiting the evaluation of defect prediction models
PROMISE '09 Proceedings of the 5th International Conference on Predictor Models in Software Engineering
Evaluating the Impact of UML Modeling on Software Quality: An Industrial Case Study
MODELS '09 Proceedings of the 12th International Conference on Model Driven Engineering Languages and Systems
Predicting method crashes with bytecode operations
Proceedings of the 6th India Software Engineering Conference
Comparative study on effectiveness of standard bug prediction approaches
Proceedings of the 5th IBM Collaborative Academia Research Exchange Workshop
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Software developers apply various techniques early in development to improve software reliability, such as extra reviews, additional testing, and strategic assignment of personnel. Due to limited resources and time, it is often not practical to enhance the reliability of all modules. Our goal is to target reliability enhancement activities to those modules that would otherwise have problems later. Prior research has shown that a software quality model based on software product and process metrics can predict which modules are likely to have faults.A module-order model is a quantitative software quality model that is used to predict the rank-order of modules according to a quality factor, such as the number of faults. The contribution of this paper is definition of module-order models and a method for their evaluation and use. Two empirical case studies of full-scale industrial software systems provide empirical evidence of the usefulness of module-order models for targeting reliability enhancement.