Applied regression analysis and other multivariable methods
Applied regression analysis and other multivariable methods
Methodology for Validating Software Metrics
IEEE Transactions on Software Engineering
Predictive Modeling Techniques of Software Quality from Software Measures
IEEE Transactions on Software Engineering - Special issue on software measurement principles, techniques, and environments
Software Reliability Model with Optimal Selection of Failure Data
IEEE Transactions on Software Engineering - Special issue on software reliability
A Model for Software Development Effort and Cost Estimation
IEEE Transactions on Software Engineering
Experiences with criticality predictions in software development
ESEC '97/FSE-5 Proceedings of the 6th European SOFTWARE ENGINEERING conference held jointly with the 5th ACM SIGSOFT international symposium on Foundations of software engineering
Modelling the Likelihood of Software Process Improvement: An Exploratory Study
Empirical Software Engineering
Evaluation and Application of Complexity-Based Criticality Models
METRICS '96 Proceedings of the 3rd International Symposium on Software Metrics: From Measurement to Empirical Results
Software Metrics Model For Integrating Quality Control And Prediction
ISSRE '97 Proceedings of the Eighth International Symposium on Software Reliability Engineering
Building Software Quality Classification Trees: Approach, Experimentation, Evaluation
ISSRE '97 Proceedings of the Eighth International Symposium on Software Reliability Engineering
| Hi-index | 4.10 |
In this article, we cover the validation of software quality metrics for the Space Shuttle. Experiments with Space Shuttle flight software show that the Boolean OR discriminator function can successfully validate metrics for controlling and predicting quality. Further, we found that statement count and node count are the metrics most closely associated with the discrepancy reports count, and that with data smoothing their critical values can be used as predictors of software quality. We are continuing our research and comparing validated metrics with actual results in an attempt to determine whether the use of additional metrics provides sufficiently greater discriminative power to justify the increased inspection costs.