Results 291 to 300 of about 277,827 (338)

Product defect prediction model

2011 6th IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI), 2011
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. Software reliability growth models attempt to predict the number of defect using a correlation between exponential function and defect data.
Ana Maria Vladu, Sergiu Stelian Iliescu, Ioana Fagarasan   +2 more
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Predicting Defects for Eclipse

Third International Workshop on Predictor Models in Software Engineering (PROMISE'07: ICSE Workshops 2007), 2007
We have mapped defects from the bug database of eclipse (one of the largest open-source projects) to source code locations. The resulting data set lists the number of pre- and post-release defects for every package and file in the eclipse releases 2.0, 2.1, and 3.0. We additionally annotated the data with common complexity metrics. All data is publicly
Thomas Zimmermann, Rahul Premraj, Andreas Zeller   +2 more
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On Predicting Defection from Psychotherapy

Psychological Reports, 1966
For 33 patients in a VA mental hygiene clinic followed over 1 yr., r between scores on Counseling-Readiness Scale and number of therapeutic interviews was .34, supporting the validity of the scale in predicting longevity of longer-term psychotherapy with non-college adults.
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Cross-Version Defect Prediction using Cross-Project Defect Prediction Approaches

Proceedings of the 14th International Conference on Predictive Models and Data Analytics in Software Engineering, 2018
Background: Specifying and removing defects before release deserve extra cost for the success of software projects. Long-running projects experience multiple releases, and it is a natural choice to adopt cross-version defect prediction (CVDP) that uses information from older versions. A past study shows that feeding multi older versions data may have a
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Predicting radiotherapy‐induced cardiac perfusion defects

Medical Physics, 2004
The purpose of this work is to compare the efficacy of mathematical models in predicting the occurrence of radiotherapy‐induced left ventricular perfusion defects assessed using single‐photon emission computed tomography (SPECT). The basis of this study is data from 73 left‐sided breast/chestwall patients treated with tangential photon fields.
Shiva K, Das, Alan H, Baydush, Sumin, Zhou, Moyed, Miften, Xiaoli, Yu, Oana, Craciunescu, Mark, Oldham, Kim, Light, Terence, Wong, Michael, Blazing, Salvador, Borges-Neto, Mark W, Dewhirst, Lawrence B, Marks   +12 more
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Multi-objective Cross-Project Defect Prediction

2013 IEEE Sixth International Conference on Software Testing, Verification and Validation, 2013
Cross-project defect prediction is very appealing because (i) it allows predicting defects in projects for which the availability of data is limited, and (ii) it allows producing generalizable prediction models. However, existing research suggests that cross-project prediction is particularly challenging and, due to heterogeneity of projects ...
G. Canfora, A. De Lucia, M. Di Penta, OLIVETO, Rocco, A. Panichella, S. Panichella   +5 more
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Defect-oriented testing and defective-part-level prediction

IEEE Design & Test of Computers, 2001
After an integrated circuit (IC) design is complete, but before first silicon arrives from the manufacturing facility, the design team prepares a set of test patterns to isolate defective parts. Applying this test pattern set to every manufactured part reduces the fraction of defective parts erroneously sold to customers as defect-free parts.
J. Dworak, J.D. Wicker, S. Lee, M.R. Grimaila, M.R. Mercer, K.M. Butler, B. Stewart, L.-C. Wang   +7 more
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Predicting defects using change genealogies

2013 IEEE 24th International Symposium on Software Reliability Engineering (ISSRE), 2013
When analyzing version histories, researchers traditionally focused on single events: e.g. the change that causes a bug, the fix that resolves an issue. Sometimes however, there are indirect effects that count: Changing a module may lead to plenty of follow-up modifications in other places, making the initial change having an impact on those later ...
Kim Herzig, Sascha Just, Andreas Rau, Andreas Zeller   +3 more
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Defect Prediction using Order Statistics

2022
From the past many years many software defects prediction models are developed to solve the various issues in software project development. Software reliability is the significant in software quality which evaluates and predicts the quality of the software based on the defects prediction.
Adusumilli, Lavanya, Prasad, R.
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Experiment on Defect Prediction

2015
It is important to be able to predict if a module or a class or a method is faulty, or not. Such predictions can be used to target improvement efforts to those modules or classes that need it the most. We investigated the classification process (deciding if an element is faulty or not) in which the set of software metrics is used and examined several ...
Ilona Bluemke, Anna Stepień
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