Prediction and control of ADA software defects
Journal of Systems and Software - An Oregon workshop on software metrics
A Validation of Object-Oriented Design Metrics as Quality Indicators
IEEE Transactions on Software Engineering
Predicting Fault-Prone Software Modules in Telephone Switches
IEEE Transactions on Software Engineering
Software Cost Estimation with Cocomo II with Cdrom
Software Cost Estimation with Cocomo II with Cdrom
Data Mining of Software Development Databases
Software Quality Control
Reexamining the Fault Density-Component Size Connection
IEEE Software
Quantitative Analysis of Faults and Failures in a Complex Software System
IEEE Transactions on Software Engineering
Cost-Sensitive Boosting In Software Quality Modeling
HASE '02 Proceedings of the 7th IEEE International Symposium on High Assurance Systems Engineering
Fault Prediction Modeling for Software Quality Estimation: Comparing Commonly Used Techniques
Empirical Software Engineering
Exploring Defect Data from Development and Customer Usage on Software Modules over Multiple Releases
ISSRE '98 Proceedings of the The Ninth International Symposium on Software Reliability Engineering
Analyzing and Relating Bug Report Data for Feature Tracking
WCRE '03 Proceedings of the 10th Working Conference on Reverse Engineering
A Bayesian Belief Network for Assessing the Likelihood of Fault Content
ISSRE '03 Proceedings of the 14th International Symposium on Software Reliability Engineering
Comparative Assessment of Software Quality Classification Techniques: An Empirical Case Study
Empirical Software Engineering
Empirical evaluation of defect projection models for widely-deployed production software systems
Proceedings of the 12th ACM SIGSOFT twelfth international symposium on Foundations of software engineering
BBN-based software project risk management
Journal of Systems and Software - Special issue: Applications of statistics in software engineering
IEEE Transactions on Software Engineering
Building Defect Prediction Models in Practice
IEEE Software
ISSRE '05 Proceedings of the 16th IEEE International Symposium on Software Reliability Engineering
Proceedings of the 28th international conference on Software engineering
Mining metrics to predict component failures
Proceedings of the 28th international conference on Software engineering
A General Empirical Solution to the Macro Software Sizing and Estimating Problem
IEEE Transactions on Software Engineering
Estimating fixing effort and schedule based on defect injection distribution
Software Process: Improvement and Practice - Advances in Software Process Improvement
On the Value of Static Analysis for Fault Detection in Software
IEEE Transactions on Software Engineering
An empirical study on establishing quantitative management model for testing process
ICSP'07 Proceedings of the 2007 international conference on Software process
ICSP'08 Proceedings of the Software process, 2008 international conference on Making globally distributed software development a success story
Quantitatively managing defects for iterative projects: an industrial experience report in China
ICSP'08 Proceedings of the Software process, 2008 international conference on Making globally distributed software development a success story
Software process management: practices in china
SPW'05 Proceedings of the 2005 international conference on Unifying the Software Process Spectrum
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To date, very little published empirical data has reported on the quality and reliability aspects of commercial software systems. In this paper, we present quantitative empirical study results on faults and failures with four releases of SoftPM [29, 31], one of the most widely adopted software project management tools in China. Our approach verifies Fenton's Hypotheses in [11] and explores the relationship between pre-release faults and post-release failures in four releases of SoftPM. We also present the distribution of Mean Time to Remove Faults (MTRF), the review and testing efficiency, and the fault and failure data for benchmarking. Our study shows that a few modules that are not fault-prone contain most failures in the field and most faults detected at an early stage cost less time to be fixed and removed. Our results have been validated and evaluated at four subsequent major releases of SoftPM at the laboratory for Internet Software Technologies of the Institute of Software, Chinese Academy of Sciences (iTechs).