FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3190120703> ?p ?o ?g. }

• W3190120703 abstract "Requirements Engineering (RE) is the initial step towards building a software system. The success or failure of a software project is firmly tied to this phase, based on communication among stakeholders using natural language. The problem with natural language is that it can easily lead to different understandings if it is not expressed precisely by the stakeholders involved, which results in building a product different from the expected one. Previous work proposed to enhance the quality of the software requirements detecting language errors based on ISO 29148 requirements language criteria. The existing solutions apply classical Natural Language Processing (NLP) to detect them. NLP has some limitations, such as domain dependability which results in poor generalization capability. Therefore, this work aims to improve the previous work by creating a manually labeled dataset and using ensemble learning, Deep Learning (DL), and techniques such as word embeddings and transfer learning to overcome the generalization problem that is tied with classical NLP and improve precision and recall metrics using a manually labeled dataset. The current findings show that the dataset is unbalanced and which class examples should be added more. It is tempting to train algorithms even if the dataset is not considerably representative. Whence, the results show that models are overfitting; in Machine Learning this issue is solved by adding more instances to the dataset, improving label quality, removing noise, and reducing the learning algorithms complexity, which is planned for this research." @default.
• W3190120703 created "2021-08-16" @default.
• W3190120703 creator A5015179434 @default.
• W3190120703 creator A5021130527 @default.
• W3190120703 creator A5050191675 @default.
• W3190120703 date "2021-08-06" @default.
• W3190120703 modified "2023-09-27" @default.
• W3190120703 title "Detecting Requirements Smells With Deep Learning: Experiences, Challenges and Future Work" @default.
• W3190120703 cites W2016159517 @default.
• W3190120703 cites W2034775103 @default.
• W3190120703 cites W2048279992 @default.
• W3190120703 cites W2052515375 @default.
• W3190120703 cites W2073984834 @default.
• W3190120703 cites W2124405605 @default.
• W3190120703 cites W2135850590 @default.
• W3190120703 cites W2148143831 @default.
• W3190120703 cites W2291920259 @default.
• W3190120703 cites W2395579298 @default.
• W3190120703 cites W2403194270 @default.
• W3190120703 cites W2491694318 @default.
• W3190120703 cites W2550035969 @default.
• W3190120703 cites W2563351168 @default.
• W3190120703 cites W2742947407 @default.
• W3190120703 cites W2753032179 @default.
• W3190120703 cites W2760476066 @default.
• W3190120703 cites W2763323349 @default.
• W3190120703 cites W2789758093 @default.
• W3190120703 cites W2884745705 @default.
• W3190120703 cites W2892809998 @default.
• W3190120703 cites W2963341956 @default.
• W3190120703 cites W3019166713 @default.
• W3190120703 cites W3158607471 @default.
• W3190120703 cites W3161700111 @default.
• W3190120703 cites W2309295884 @default.
• W3190120703 hasPublicationYear "2021" @default.
• W3190120703 type Work @default.
• W3190120703 sameAs 3190120703 @default.
• W3190120703 citedByCount "0" @default.
• W3190120703 crossrefType "posted-content" @default.
• W3190120703 hasAuthorship W3190120703A5015179434 @default.
• W3190120703 hasAuthorship W3190120703A5021130527 @default.
• W3190120703 hasAuthorship W3190120703A5050191675 @default.
• W3190120703 hasConcept C108583219 @default.
• W3190120703 hasConcept C111472728 @default.
• W3190120703 hasConcept C115903868 @default.
• W3190120703 hasConcept C119857082 @default.
• W3190120703 hasConcept C134306372 @default.
• W3190120703 hasConcept C138885662 @default.
• W3190120703 hasConcept C150899416 @default.
• W3190120703 hasConcept C154945302 @default.
• W3190120703 hasConcept C177148314 @default.
• W3190120703 hasConcept C195324797 @default.
• W3190120703 hasConcept C204321447 @default.
• W3190120703 hasConcept C22019652 @default.
• W3190120703 hasConcept C24138899 @default.
• W3190120703 hasConcept C2779530757 @default.
• W3190120703 hasConcept C33923547 @default.
• W3190120703 hasConcept C36503486 @default.
• W3190120703 hasConcept C41008148 @default.
• W3190120703 hasConcept C50644808 @default.
• W3190120703 hasConcept C77019957 @default.
• W3190120703 hasConcept C77967617 @default.
• W3190120703 hasConceptScore W3190120703C108583219 @default.
• W3190120703 hasConceptScore W3190120703C111472728 @default.
• W3190120703 hasConceptScore W3190120703C115903868 @default.
• W3190120703 hasConceptScore W3190120703C119857082 @default.
• W3190120703 hasConceptScore W3190120703C134306372 @default.
• W3190120703 hasConceptScore W3190120703C138885662 @default.
• W3190120703 hasConceptScore W3190120703C150899416 @default.
• W3190120703 hasConceptScore W3190120703C154945302 @default.
• W3190120703 hasConceptScore W3190120703C177148314 @default.
• W3190120703 hasConceptScore W3190120703C195324797 @default.
• W3190120703 hasConceptScore W3190120703C204321447 @default.
• W3190120703 hasConceptScore W3190120703C22019652 @default.
• W3190120703 hasConceptScore W3190120703C24138899 @default.
• W3190120703 hasConceptScore W3190120703C2779530757 @default.
• W3190120703 hasConceptScore W3190120703C33923547 @default.
• W3190120703 hasConceptScore W3190120703C36503486 @default.
• W3190120703 hasConceptScore W3190120703C41008148 @default.
• W3190120703 hasConceptScore W3190120703C50644808 @default.
• W3190120703 hasConceptScore W3190120703C77019957 @default.
• W3190120703 hasConceptScore W3190120703C77967617 @default.
• W3190120703 hasLocation W31901207031 @default.
• W3190120703 hasOpenAccess W3190120703 @default.
• W3190120703 hasPrimaryLocation W31901207031 @default.
• W3190120703 hasRelatedWork W1486120171 @default.
• W3190120703 hasRelatedWork W2100954244 @default.
• W3190120703 hasRelatedWork W2107213321 @default.
• W3190120703 hasRelatedWork W2152708043 @default.
• W3190120703 hasRelatedWork W2153152620 @default.
• W3190120703 hasRelatedWork W2195855237 @default.
• W3190120703 hasRelatedWork W2622299227 @default.
• W3190120703 hasRelatedWork W2734338314 @default.
• W3190120703 hasRelatedWork W2970650542 @default.
• W3190120703 hasRelatedWork W3025570773 @default.
• W3190120703 hasRelatedWork W3036951177 @default.
• W3190120703 hasRelatedWork W3088282579 @default.
• W3190120703 hasRelatedWork W3105771849 @default.
• W3190120703 hasRelatedWork W3127553254 @default.
• W3190120703 hasRelatedWork W3136077193 @default.

• next