Matches in SemOpenAlex for { <https://semopenalex.org/work/W4387485882> ?p ?o ?g. }
Showing items 1 to 82 of
82
with 100 items per page.
- W4387485882 abstract "This research focuses on the application of multilayer perceptron Neural Networks (NNs) with Bayesian Regularization (BR) to predict task difficulty in software development/maintenance. The task difficulty is reflected through solution complexity and required time for resolving a given task. Our aim is to support traditional, human-based estimations by providing additional insights into the difficulty of current tasks. Previous research explores several NN types, including Bayesian, fuzzy and convolutional NNs, with prediction accuracy rates below 80%. Clearly, inaccurate predictions can lead to financial losses and may damage client relationships. We analyze data related to developing software features and resolving bugs/incidents obtained from JIRA Service Management. Our results advocate the use of multi-layer perceptron NNs with BR over Stochastic Gradient Descent (SDG), Levenberg-Marquardt and Resilient Backpropagation (RPROP) leading to an accuracy rate of about 70%. Further tuning of the model parameters such as hidden layers, learning rate, and regularization could improve the accuracy even further. Of course, the quality and precision of the data used to train a model have a great impact on its performance." @default.
- W4387485882 created "2023-10-11" @default.
- W4387485882 creator A5013432227 @default.
- W4387485882 creator A5093034094 @default.
- W4387485882 date "2023-09-21" @default.
- W4387485882 modified "2023-10-16" @default.
- W4387485882 title "Neural Networks to Predict Software Development/Maintenance Performance and Required Time" @default.
- W4387485882 cites W1719563529 @default.
- W4387485882 cites W1963925578 @default.
- W4387485882 cites W2506821214 @default.
- W4387485882 cites W2753663421 @default.
- W4387485882 cites W2795408068 @default.
- W4387485882 cites W2934399013 @default.
- W4387485882 cites W2999958824 @default.
- W4387485882 cites W4310173398 @default.
- W4387485882 doi "https://doi.org/10.23919/softcom58365.2023.10271615" @default.
- W4387485882 hasPublicationYear "2023" @default.
- W4387485882 type Work @default.
- W4387485882 citedByCount "0" @default.
- W4387485882 crossrefType "proceedings-article" @default.
- W4387485882 hasAuthorship W4387485882A5013432227 @default.
- W4387485882 hasAuthorship W4387485882A5093034094 @default.
- W4387485882 hasConcept C107673813 @default.
- W4387485882 hasConcept C108583219 @default.
- W4387485882 hasConcept C119857082 @default.
- W4387485882 hasConcept C124101348 @default.
- W4387485882 hasConcept C127413603 @default.
- W4387485882 hasConcept C147168706 @default.
- W4387485882 hasConcept C153258448 @default.
- W4387485882 hasConcept C154945302 @default.
- W4387485882 hasConcept C155032097 @default.
- W4387485882 hasConcept C177973122 @default.
- W4387485882 hasConcept C179717631 @default.
- W4387485882 hasConcept C199360897 @default.
- W4387485882 hasConcept C201995342 @default.
- W4387485882 hasConcept C206688291 @default.
- W4387485882 hasConcept C2776135515 @default.
- W4387485882 hasConcept C2777904410 @default.
- W4387485882 hasConcept C2780451532 @default.
- W4387485882 hasConcept C41008148 @default.
- W4387485882 hasConcept C50644808 @default.
- W4387485882 hasConcept C60908668 @default.
- W4387485882 hasConcept C81363708 @default.
- W4387485882 hasConcept C98359873 @default.
- W4387485882 hasConceptScore W4387485882C107673813 @default.
- W4387485882 hasConceptScore W4387485882C108583219 @default.
- W4387485882 hasConceptScore W4387485882C119857082 @default.
- W4387485882 hasConceptScore W4387485882C124101348 @default.
- W4387485882 hasConceptScore W4387485882C127413603 @default.
- W4387485882 hasConceptScore W4387485882C147168706 @default.
- W4387485882 hasConceptScore W4387485882C153258448 @default.
- W4387485882 hasConceptScore W4387485882C154945302 @default.
- W4387485882 hasConceptScore W4387485882C155032097 @default.
- W4387485882 hasConceptScore W4387485882C177973122 @default.
- W4387485882 hasConceptScore W4387485882C179717631 @default.
- W4387485882 hasConceptScore W4387485882C199360897 @default.
- W4387485882 hasConceptScore W4387485882C201995342 @default.
- W4387485882 hasConceptScore W4387485882C206688291 @default.
- W4387485882 hasConceptScore W4387485882C2776135515 @default.
- W4387485882 hasConceptScore W4387485882C2777904410 @default.
- W4387485882 hasConceptScore W4387485882C2780451532 @default.
- W4387485882 hasConceptScore W4387485882C41008148 @default.
- W4387485882 hasConceptScore W4387485882C50644808 @default.
- W4387485882 hasConceptScore W4387485882C60908668 @default.
- W4387485882 hasConceptScore W4387485882C81363708 @default.
- W4387485882 hasConceptScore W4387485882C98359873 @default.
- W4387485882 hasLocation W43874858821 @default.
- W4387485882 hasOpenAccess W4387485882 @default.
- W4387485882 hasPrimaryLocation W43874858821 @default.
- W4387485882 hasRelatedWork W2106688677 @default.
- W4387485882 hasRelatedWork W2754816816 @default.
- W4387485882 hasRelatedWork W2895097035 @default.
- W4387485882 hasRelatedWork W3020853991 @default.
- W4387485882 hasRelatedWork W3160167280 @default.
- W4387485882 hasRelatedWork W3171021120 @default.
- W4387485882 hasRelatedWork W4206903459 @default.
- W4387485882 hasRelatedWork W4231621013 @default.
- W4387485882 hasRelatedWork W4362706668 @default.
- W4387485882 hasRelatedWork W4366280654 @default.
- W4387485882 isParatext "false" @default.
- W4387485882 isRetracted "false" @default.
- W4387485882 workType "article" @default.