Mobile Application Software Defect Prediction

2016 ◽  
Author(s):  
Michael Yoseph Ricky ◽  
Fredy Purnomo ◽  
Budi Yulianto
Keyword(s):  
Mobile Application ◽  
Defect Prediction ◽  
Application Software ◽  
Software Defect Prediction ◽  
Software Defect

scholarly journals Software Defect Prediction using Efficient Classification Algorithms

2019 ◽  
Vol 8 (3S2) ◽  
pp. 301-304
Keyword(s):  
Fault Prediction ◽  
Defect Prediction ◽  
Classification Algorithms ◽  
Data Sets ◽  
Application Software ◽  
Software Defect Prediction ◽  
Software Fault Prediction ◽  
Software Application ◽  
Software Defect ◽  
Software Fault

The reliability of the software can be understood using the recurrence and the development of failures or it could be recognized by framework accessibility. Software can be classified as many forms such as system software, application software, shareware, literate, freeware public domain etc. Nearly, all the frameworks used to have faults and these faults results in the failure. Inorder to understand these faults, some software fault prediction is used. The main aim of these method is to predict the errors and their cause before it occurs. This article mainly discusses about the techniques which are available for the prediction of error and gives the information to understand about the data mining with NASA MDP data sets.

Research of Software Defect Prediction Model Based on ACO-SVM

2011 ◽  
Vol 34 (6) ◽  
pp. 1148-1154 ◽  
Author(s):  
Hui-Yan JIANG ◽  
Mao ZONG ◽  
Xiang-Ying LIU
Keyword(s):  
Prediction Model ◽  
Defect Prediction ◽  
Software Defect Prediction ◽  
Model Based ◽  
Software Defect

Software Defect Prediction via Deep Belief Network

2019 ◽  
Vol 28 (5) ◽  
pp. 925-932
Author(s):  
Hua WEI ◽  
Chun SHAN ◽  
Changzhen HU ◽  
Yu ZHANG ◽  
Xiao YU
Keyword(s):  
Deep Belief Network ◽  
Defect Prediction ◽  
Software Defect Prediction ◽  
Belief Network ◽  
Software Defect
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