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https://www.researchgate.net/publication/220871462_Software_Defect_Prediction_Using_Fuzzy_Support_Vector_Regression
Another research work predicted the defect in software modules using Fuzzy Support Vector Regression. Fuzzification input was used to handle the imbalance software metrics dataset [9]. Kaur and ...
https://link.springer.com/chapter/10.1007/978-3-642-13318-3_3
In this paper, we propose a novel method of using Fuzzy Support Vector Regression (FSVR) in predicting software defect numbers. Fuzzification input of regressor …Cited by: 19
https://dl.acm.org/citation.cfm?id=2149450
Regression techniques have been applied to improve software quality by using software metrics to predict defect numbers in software modules This can help developers allocate limited developing resources to modules containing more defects In this paper, we propose a novel method of using Fuzzy Support Vector Regression (FSVR) in predicting ...Cited by: 19
https://www.researchgate.net/profile/Divya_Tomar3/publication/262105208_Prediction_of_Software_defects_using_Twin_Support_vector_Machine/links/54b7b1380cf2bd04be33bbf4.pdf?origin=publication_list
978-1-4799-2981-8/14/$31.00 ©2014 IEEE 128 Prediction of Software Defects using Twin Support Vector Machine Sonali Agarwal Assistant Professor
https://pdfs.semanticscholar.org/e5df/beb49d860da5ed36d76e7c8a36b9ae3f7ece.pdf
Defect Prediction for Object Oriented Software using Support Vector based Fuzzy Classification Model Bharavi Mishra Department of Comp. Engg. IIT (B.H.U.) Varanasi, 221005 K.K. Shukla Department of Comp. Engg. IIT (B.H.U.) Varanasi, 221005 ABSTRACT In software development research, early prediction of defective software modules always attracts ...
http://lpis.csd.auth.gr/publications/bibi-aiccsa2006.pdf
Software Defect Prediction Using Regression via Classification Bibi S., Tsoumakas G., Stamelos I., Vlahavas I ... Learning such as support vector machines and model trees. For the evaluation of all these approaches a data set ... Classification for modeling uncertainty in software defect prediction. Using this method we will attempt to solve
https://link.springer.com/chapter/10.1007%2F978-981-10-4603-2_6
Oct 25, 2017 · Abstract. Software industry has stipulated the need for good quality software projects to be delivered on time and within budget. Software defect prediction (SDP) has led to the application of machine learning algorithms for building defect classification models using software metrics and defect proneness as the independent and dependent variables, respectively.Cited by: 2
https://www.ijariit.com/manuscripts/v3i1/V3I1-1197.pdf
Software Defect Prediction using Support Vector Machine Er. Ramandeep Kaur Bahra Group of Institutes, Patiala. [email protected] Er. Harpreet Kaur Bahra Group of Institutes, Patiala. [email protected] Abstract— developing a defect free software system is very difficult and most of the time there are some unknownAuthor: Ramandeep Kaur, Harpreet Kaur
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