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Predicting defect numbers based on defect state transition models
Proceedings of the ACM-IEEE international symposium on Empirical software engineering and measurement, 2012During software maintenance, a large number of defects could be discovered and reported. A defect can enter many states during its lifecycle, such as NEW, ASSIGNED, and RESOLVED. The ability to predict the number of defects at each state can help project teams better evaluate and plan maintenance activities.
Jue Wang, Hongyu Zhang
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Defect prediction for embedded software
2007 22nd international symposium on computer and information sciences, 2007As ubiquitous computing becomes the reality of our lives, the demand for high quality embedded software in shortened intervals increases. In order to cope with this pressure, software developers seek new approaches to manage the development cycle: to finish on time, within budget and with no defects.
Atac Deniz Oral, Ayse Basar Bener
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Proceedings of 2012 IEEE International Conference on Automation, Quality and Testing, Robotics, 2012
The prediction of software reliability can determine the current reliability of a product, using statistical techniques based on the failures data, obtained during testing or system usability. The major problem in predicting software reliability is their high complexity, as well as the excessive limitations of existing models.
Ana Maria Vladu, Ioana Fagarasan
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The prediction of software reliability can determine the current reliability of a product, using statistical techniques based on the failures data, obtained during testing or system usability. The major problem in predicting software reliability is their high complexity, as well as the excessive limitations of existing models.
Ana Maria Vladu, Ioana Fagarasan
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Predicting defects in RNA splicing
Science, 2015RNA Splicing Most eukaryotic messenger RNAs (mRNAs) are spliced to remove introns. Splicing generates uninterrupted open reading frames that can be translated into proteins. Splicing is often highly regulated, generating alternative spliced forms that code for variant proteins in different tissues.
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Replication of defect prediction studies
Proceedings of the 6th International Conference on Predictive Models in Software Engineering, 2010Background: The main goal of the PROMISE repository is to enable reproducible, and thus verifiable or refutable research. Over time, plenty of data sets became available, especially for defect prediction problems.Aims: In this study, we investigate possible problems and pitfalls that occur during replication.
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A Systematic Survey of Just-in-Time Software Defect Prediction
ACM Computing Surveys, 2023Yunhua Zhao +2 more
exaly
Intelligent Software Defect Prediction
2023Xiao-Yuan Jing, Haowen Chen, Baowen Xu
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