FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W32083447> ?p ?o ?g. }

• W32083447 endingPage "16" @default.
• W32083447 startingPage "8" @default.
• W32083447 abstract "In software development research, early prediction of defective software modules always attracts the developers because it can reduces the overall requirements of software development such as time and budgets and increases the customer satisfaction. In the current context, with constantly increasing constraints like requirement ambiguity and complex development process, developing fault free reliable software is a daunting task. To deliver reliable software, it is essential to execute exhaustive number of test cases which may become tedious and costly for software enterprises. To ameliorate the testing process, a defect prediction model can be used which enables the developers to distribute their quality assurance activity on defect prone modules. However, a defect prediction models requires empirical validation to ensure their relevance to a software enterprises. In recent past, several classification and prediction models, based on historical defect data sets, have been used for early prediction of error-prone modules. Considering these facts, in this paper, a new Support Vector based Fuzzy Classification System (SVFCS) has been proposed for defective module prediction. In the proposed model an initial rule set is constructed using support vectors and Fuzzy logic. Rule set optimization is done using Genetic algorithm. The new method has been compared against two other models reported in recent literature viz. Naive Bayes and Support Vector Machine by using several measures, precision and probability of detection and it is found that the prediction performance of SVFCS approach is generally better than other prediction approaches. Our approach achieved 76.5 mean recall and 34.65 mean false alarm rate on three versions of Eclipse (Eclipse (2.0, 2.1, 3.0) and Equinox software bug data sets which strongly endorse the significance of proposed model in defect prediction research." @default.
• W32083447 created "2016-06-24" @default.
• W32083447 creator A5006151703 @default.
• W32083447 date "2012-12-18" @default.
• W32083447 modified "2023-09-25" @default.
• W32083447 title "Defect Prediction for Object Oriented Software using Support Vector based Fuzzy Classification Model" @default.
• W32083447 cites W1509672965 @default.
• W32083447 cites W1564245478 @default.
• W32083447 cites W1573396645 @default.
• W32083447 cites W1592048085 @default.
• W32083447 cites W1978974356 @default.
• W32083447 cites W1998167229 @default.
• W32083447 cites W2029833477 @default.
• W32083447 cites W2107643286 @default.
• W32083447 cites W2112975341 @default.
• W32083447 cites W2113224932 @default.
• W32083447 cites W2121866145 @default.
• W32083447 cites W2138827327 @default.
• W32083447 cites W2139085281 @default.
• W32083447 cites W2139212933 @default.
• W32083447 cites W2140117423 @default.
• W32083447 cites W2142481192 @default.
• W32083447 cites W2156909104 @default.
• W32083447 cites W2160958420 @default.
• W32083447 cites W2168483093 @default.
• W32083447 cites W2170555940 @default.
• W32083447 cites W2304272388 @default.
• W32083447 cites W2966207845 @default.
• W32083447 cites W5777043 @default.
• W32083447 cites W76426512 @default.
• W32083447 doi "https://doi.org/10.5120/9766-3114" @default.
• W32083447 hasPublicationYear "2012" @default.
• W32083447 type Work @default.
• W32083447 sameAs 32083447 @default.
• W32083447 citedByCount "6" @default.
• W32083447 countsByYear W320834472014 @default.
• W32083447 countsByYear W320834472018 @default.
• W32083447 countsByYear W320834472019 @default.
• W32083447 countsByYear W320834472020 @default.
• W32083447 crossrefType "journal-article" @default.
• W32083447 hasAuthorship W32083447A5006151703 @default.
• W32083447 hasBestOaLocation W320834471 @default.
• W32083447 hasConcept C115903868 @default.
• W32083447 hasConcept C119857082 @default.
• W32083447 hasConcept C12267149 @default.
• W32083447 hasConcept C124101348 @default.
• W32083447 hasConcept C154945302 @default.
• W32083447 hasConcept C199360897 @default.
• W32083447 hasConcept C2777904410 @default.
• W32083447 hasConcept C2781238097 @default.
• W32083447 hasConcept C41008148 @default.
• W32083447 hasConcept C58166 @default.
• W32083447 hasConceptScore W32083447C115903868 @default.
• W32083447 hasConceptScore W32083447C119857082 @default.
• W32083447 hasConceptScore W32083447C12267149 @default.
• W32083447 hasConceptScore W32083447C124101348 @default.
• W32083447 hasConceptScore W32083447C154945302 @default.
• W32083447 hasConceptScore W32083447C199360897 @default.
• W32083447 hasConceptScore W32083447C2777904410 @default.
• W32083447 hasConceptScore W32083447C2781238097 @default.
• W32083447 hasConceptScore W32083447C41008148 @default.
• W32083447 hasConceptScore W32083447C58166 @default.
• W32083447 hasIssue "15" @default.
• W32083447 hasLocation W320834471 @default.
• W32083447 hasOpenAccess W32083447 @default.
• W32083447 hasPrimaryLocation W320834471 @default.
• W32083447 hasRelatedWork W1996541855 @default.
• W32083447 hasRelatedWork W2101819884 @default.
• W32083447 hasRelatedWork W2803710604 @default.
• W32083447 hasRelatedWork W2937631562 @default.
• W32083447 hasRelatedWork W2979979539 @default.
• W32083447 hasRelatedWork W3136979370 @default.
• W32083447 hasRelatedWork W3194539120 @default.
• W32083447 hasRelatedWork W3195168932 @default.
• W32083447 hasRelatedWork W4205958290 @default.
• W32083447 hasRelatedWork W4361795583 @default.
• W32083447 hasVolume "60" @default.
• W32083447 isParatext "false" @default.
• W32083447 isRetracted "false" @default.
• W32083447 magId "32083447" @default.
• W32083447 workType "article" @default.