Matches in SemOpenAlex for { <https://semopenalex.org/work/W2955994809> ?p ?o ?g. }
Showing items 1 to 71 of
71
with 100 items per page.
- W2955994809 abstract "Automatic program correction is an active topic of research, which holds the potential of dramatically improving productivity of programmers during the software development process and correctness of software in general. Recent advances in machine learning, deep learning and NLP have rekindled the hope to eventually fully automate the process of repairing programs. A key challenge is ambiguity, as multiple codes -- or fixes -- can implement the same functionality. In addition, datasets by nature fail to capture the variance introduced by such ambiguities. Therefore, we propose a deep generative model to automatically correct programming errors by learning a distribution of potential fixes. Our model is formulated as a deep conditional variational autoencoder that samples diverse fixes for the given erroneous programs. In order to account for ambiguity and inherent lack of representative datasets, we propose a novel regularizer to encourage the model to generate diverse fixes. Our evaluations on common programming errors show for the first time the generation of diverse fixes and strong improvements over the state-of-the-art approaches by fixing up to 65% of the mistakes." @default.
- W2955994809 created "2019-07-12" @default.
- W2955994809 creator A5003887059 @default.
- W2955994809 creator A5069868868 @default.
- W2955994809 creator A5075967174 @default.
- W2955994809 date "2019-06-24" @default.
- W2955994809 modified "2023-09-27" @default.
- W2955994809 title "SampleFix: Learning to Correct Programs by Sampling Diverse Fixes" @default.
- W2955994809 hasPublicationYear "2019" @default.
- W2955994809 type Work @default.
- W2955994809 sameAs 2955994809 @default.
- W2955994809 citedByCount "7" @default.
- W2955994809 countsByYear W29559948092020 @default.
- W2955994809 countsByYear W29559948092021 @default.
- W2955994809 crossrefType "posted-content" @default.
- W2955994809 hasAuthorship W2955994809A5003887059 @default.
- W2955994809 hasAuthorship W2955994809A5069868868 @default.
- W2955994809 hasAuthorship W2955994809A5075967174 @default.
- W2955994809 hasConcept C101738243 @default.
- W2955994809 hasConcept C108583219 @default.
- W2955994809 hasConcept C110332635 @default.
- W2955994809 hasConcept C119857082 @default.
- W2955994809 hasConcept C154945302 @default.
- W2955994809 hasConcept C199360897 @default.
- W2955994809 hasConcept C26517878 @default.
- W2955994809 hasConcept C2777904410 @default.
- W2955994809 hasConcept C2780522230 @default.
- W2955994809 hasConcept C38652104 @default.
- W2955994809 hasConcept C41008148 @default.
- W2955994809 hasConcept C55439883 @default.
- W2955994809 hasConcept C98045186 @default.
- W2955994809 hasConceptScore W2955994809C101738243 @default.
- W2955994809 hasConceptScore W2955994809C108583219 @default.
- W2955994809 hasConceptScore W2955994809C110332635 @default.
- W2955994809 hasConceptScore W2955994809C119857082 @default.
- W2955994809 hasConceptScore W2955994809C154945302 @default.
- W2955994809 hasConceptScore W2955994809C199360897 @default.
- W2955994809 hasConceptScore W2955994809C26517878 @default.
- W2955994809 hasConceptScore W2955994809C2777904410 @default.
- W2955994809 hasConceptScore W2955994809C2780522230 @default.
- W2955994809 hasConceptScore W2955994809C38652104 @default.
- W2955994809 hasConceptScore W2955994809C41008148 @default.
- W2955994809 hasConceptScore W2955994809C55439883 @default.
- W2955994809 hasConceptScore W2955994809C98045186 @default.
- W2955994809 hasLocation W29559948091 @default.
- W2955994809 hasOpenAccess W2955994809 @default.
- W2955994809 hasPrimaryLocation W29559948091 @default.
- W2955994809 hasRelatedWork W1591479607 @default.
- W2955994809 hasRelatedWork W2120817037 @default.
- W2955994809 hasRelatedWork W2133535847 @default.
- W2955994809 hasRelatedWork W2605202003 @default.
- W2955994809 hasRelatedWork W2799855324 @default.
- W2955994809 hasRelatedWork W2801898543 @default.
- W2955994809 hasRelatedWork W2803178218 @default.
- W2955994809 hasRelatedWork W2895835746 @default.
- W2955994809 hasRelatedWork W2940805659 @default.
- W2955994809 hasRelatedWork W2963446231 @default.
- W2955994809 hasRelatedWork W2967096374 @default.
- W2955994809 hasRelatedWork W3044153411 @default.
- W2955994809 hasRelatedWork W3045764482 @default.
- W2955994809 hasRelatedWork W3088523388 @default.
- W2955994809 hasRelatedWork W3099745946 @default.
- W2955994809 hasRelatedWork W3103093663 @default.
- W2955994809 hasRelatedWork W3125981234 @default.
- W2955994809 hasRelatedWork W3166168772 @default.
- W2955994809 hasRelatedWork W3172317657 @default.
- W2955994809 hasRelatedWork W3183656699 @default.
- W2955994809 isParatext "false" @default.
- W2955994809 isRetracted "false" @default.
- W2955994809 magId "2955994809" @default.
- W2955994809 workType "article" @default.