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Hittade 4 uppsatser som matchar ovanstående sökkriterier.
1. Round-Trip Translation : A New Path for Automatic Program Repair using Large Language Models
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Research shows that grammatical mistakes in a sentence can be corrected by machine translating it to another language and back. We investigate whether this correction capability of Large Language Models (LLMs) extends to Automatic Program Repair (APR), a software engineering task. LÄS MER
2. Java Syntax Error Repair Using RoBERTa
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Deep learning has achieved promising results for automatic program repair (APR).In this paper, we revisit this topic and propose an end-to-end approach Classfix tocorrect java syntax errors. Classfix uses the RoBERTa classification model to localizethe error, and uses the RoBERTa encoder-decoder model to repair the located buggyline. LÄS MER
3. Contributions to the usability of Sorald for repairing static analysis violations
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Automated static analysis tools are important in modern software quality assurance. These tools scan the input source or binary code for a set of rules to detect functional or maintainability problems and then warn developers about the found rule violations. LÄS MER
4. Repairing Swedish Automatic Speech Recognition
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : The quality of automatic speech recognition has increased dramatically the last few years, but the performance for low and middle resource languages such as Swedish is still far from optimal. In this project a language model trained on large written corpora called KB-BERT is utilized to improve the quality of transcriptions for Swedish. LÄS MER