Aus SDQ-Institutsseminar
Termin (Alle Termine)
Datum Freitag, 8. März 2024
Uhrzeit 11:30 – 12:15 Uhr (Dauer: 45 min)
Ort Raum 010 (Gebäude 50.34)
Vorheriger Termin Fr 2. Februar 2024
Nächster Termin Fr 15. März 2024

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Vortragende(r) Ian Winter
Titel Context Generation for Code and Architecture Changes Using Large Language Models
Vortragstyp Masterarbeit
Betreuer(in) Yves Kirschner
Vortragsmodus in Präsenz
Kurzfassung While large language models have succeeded in generating code, the struggle is to modify large existing code bases. The Generated Code Alteration (GCA) process is designed, implemented, and evaluated in this thesis. The GCA process can automatically modify a large existing code base, given a natural language task. Different variations and instantiations of the process are evaluated in an industrial case study. The code generated by the GCA process is compared to code written by human developers. The language model-based GCA process was able to generate 13.3 lines per error, while the human baseline generated 65.8 lines per error. While the generated code did not match the overall human performance in modifying large code bases, it could still provide assistance to human developers.
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