Software engineering metrics and models
Software engineering metrics and models
COBRA: a hybrid method for software cost estimation, benchmarking, and risk assessment
Proceedings of the 20th international conference on Software engineering
Experimentation in software engineering: an introduction
Experimentation in software engineering: an introduction
Exploring the relationship between design measures and software quality in object-oriented systems
Journal of Systems and Software
Predicting Fault Incidence Using Software Change History
IEEE Transactions on Software Engineering
Encyclopedia of Software Engineering
Encyclopedia of Software Engineering
Metrics and Models in Software Quality Engineering
Metrics and Models in Software Quality Engineering
Software Metrics: A Rigorous and Practical Approach
Software Metrics: A Rigorous and Practical Approach
A Survey on Testing Technique Empirical Studies: How Limited is our Knowledge
ISESE '02 Proceedings of the 2002 International Symposium on Empirical Software Engineering
Development of a hybrid cost estimation model in an iterative manner
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 model and sensitivity analysis of the quality economics of defect-detection techniques
Proceedings of the 2006 international symposium on Software testing and analysis
Information and Software Technology
Data Mining Static Code Attributes to Learn Defect Predictors
IEEE Transactions on Software Engineering
The effect of the number of inspectors on the defect estimates produced by capture-recapture models
Proceedings of the 30th international conference on Software engineering
Capture-recapture in software unit testing: a case study
Proceedings of the Second ACM-IEEE international symposium on Empirical software engineering and measurement
Managing software quality through a hybrid defect content and effectiveness model
Proceedings of the Second ACM-IEEE international symposium on Empirical software engineering and measurement
ISSRE '08 Proceedings of the 2008 19th International Symposium on Software Reliability Engineering
Review: A systematic review of software fault prediction studies
Expert Systems with Applications: An International Journal
Reflections on 10 years of software process simulation modeling: a systematic review
ICSP'08 Proceedings of the Software process, 2008 international conference on Making globally distributed software development a success story
Bug prediction based on fine-grained module histories
Proceedings of the 34th International Conference on Software Engineering
Proceedings of the 2013 International Conference on Software Engineering
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Defining strategies on how to perform quality assurance (QA) and how to control such activities is a challenging task for organizations developing or maintaining software and software-intensive systems. Planning and adjusting QA activities could benefit from accurate estimations of the expected defect content of relevant artifacts and the effectiveness of important quality assurance activities. Combining expert opinion with commonly available measurement data in a hybrid way promises to overcome the weaknesses of purely data-driven or purely expert-based estimation methods. This article presents a case study of the hybrid estimation method HyDEEP for estimating defect content and QA effectiveness in the telecommunication domain. The specific focus of this case study is the use of the method for gaining quantitative predictions. This aspect has not been empirically analyzed in previous work. Among other things, the results show that for defect content estimation, the method performs significantly better statistically than purely data-based methods, with a relative error of 0.3 on average (MMRE).