Proceedings of the 28th international conference on Software engineering
Training on errors experiment to detect fault-prone software modules by spam filter
Proceedings of the the 6th joint meeting of the European software engineering conference and the ACM SIGSOFT symposium on The foundations of software engineering
Towards a generic model for software quality prediction
Proceedings of the 6th international workshop on Software quality
The software quality economics model for software project optimization
WSEAS Transactions on Computers
An industrial case study of classifier ensembles for locating software defects
Software Quality Control
Influence of confirmation biases of developers on software quality: an empirical study
Software Quality Control
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Embedded-computer systems have become essential elements of the modern world. For example, telecommunications systems are the backbone of society's information infrastructure. Embedded systems must have highly reliable software. The consequences of failures may be severe; down-time may not be tolerable; and repairs in remote locations are often expensive. Moreover, today's fast-moving technology marketplace mandates that embedded systems evolve, resulting in multiple software releases embedded in multiple products.Software quality models can be valuable tools for software engineering of embedded systems, because some software-enhancement techniques are so expensive or time-consuming that it is not practical to apply them to all modules. Targeting such enhancement techniques is an effective way to reduce the likelihood of faults discovered in the field. Research has shown software metrics to be useful predictors of software faults. A software quality model is developed using measurements and fault data from a past release. The calibrated model is then applied to modules currently under development. Such models yield predictions on a module-by-module basis.This paper examines the Classification And Regression Trees ( cart ) algorithm for predicting which software modules have high risk of faults to be discovered during operations. Cart is attractive because it emphasizes pruning to achieve robust models. This paper presents details on the cart algorithm in the context of software engineering of embedded systems. We illustrate this approach with a case study of four consecutive releases of software embedded in a large telecommunications system. The level of accuracy achieved in the case study would be useful to developers of an embedded system. The case study indicated that this model would continue to be useful over several releases as the system evolves.