Measuring the software process: statistical process control for software process improvement
Measuring the software process: statistical process control for software process improvement
A Critique of Software Defect Prediction Models
IEEE Transactions on Software Engineering
Software assessments, benchmarks, and best practices
Software assessments, benchmarks, and best practices
Software Cost Estimation with Cocomo II with Cdrom
Software Cost Estimation with Cocomo II with Cdrom
Metrics and Models in Software Quality Engineering
Metrics and Models in Software Quality Engineering
On Estimating Testing Effort Needed to Assure Field Quality in Software Development
ISSRE '02 Proceedings of the 13th International Symposium on Software Reliability Engineering
BSR: a statistic-based approach for establishing and refining software process performance baseline
Proceedings of the 28th international conference on Software engineering
CMMI(R): Guidelines for Process Integration and Product Improvement (2nd Edition) (The SEI Series in Software Engineering)
An empirical study on establishing quantitative management model for testing process
ICSP'07 Proceedings of the 2007 international conference on Software process
Quantitative analysis of faults and failures with multiple releases of softpm
Proceedings of the Second ACM-IEEE international symposium on Empirical software engineering and measurement
Predicting Upgrade Project Defects Based on Enhancement Requirements: An Empirical Study
ICSP '09 Proceedings of the International Conference on Software Process: Trustworthy Software Development Processes
ICSP '09 Proceedings of the International Conference on Software Process: Trustworthy Software Development Processes
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Iterative development methodology has been widely adopted in recentyears since it is flexible and capable of dealing with requirement volatility.However, how to quantitatively manage iterative projects, and in particular,how to quantitatively manage defects across multiple iterations, remains a challengingissue. There is lack of quantitative defect management support for iterativeprojects due to the difficulty in selecting appropriate control points andmeasures to collect and analyze data, and determining the "sweet spot" amountof effort for performing testing and defect fixing activities. In this paper, wefirst propose the BiDefect (process-performance Baselines based iteration Defectmanagement) method to support quantitative defect management in iterativedevelopment. Then we report an industrial experience that a Chinese telecommunicationscompany, ZZNode, successfully applied the BiDefect methodin initial estimating, analyzing, re-estimating, and controlling defects for iterativedevelopment projects.