|
Morescient GAI for software engineering
Kessel, Marcus
;
Atkinson, Colin
|
DOI:
|
https://doi.org/10.1145/3709354
|
|
URL:
|
https://dl.acm.org/doi/10.1145/3709354
|
|
Dokumenttyp:
|
Zeitschriftenartikel
|
|
Erscheinungsjahr:
|
2025
|
|
Titel einer Zeitschrift oder einer Reihe:
|
ACM Transactions on SoftwareEngineering and Methodology : TOSEM
|
|
Band/Volume:
|
June 2024
|
|
Heft/Issue:
|
tba
|
|
Seitenbereich:
|
tba
|
|
Ort der Veröffentlichung:
|
New York, NY
|
|
Verlag:
|
ACM Press
|
|
ISSN:
|
1049-331X
|
|
Verwandte URLs:
|
|
|
Sprache der Veröffentlichung:
|
Englisch
|
|
Einrichtung:
|
Fakultät für Wirtschaftsinformatik und Wirtschaftsmathematik > Software Engineering (Atkinson 2003-)
|
|
Fachgebiet:
|
004 Informatik
|
|
Abstract:
|
The ability of Generative AI (GAI) technology to automatically check, synthesize and modify software engineering artifacts promises to revolutionize all aspects of software engineering. Using GAI for software engineering tasks is consequently one of the most rapidly expanding fields of software engineering research, with over a hundred LLM-based code models having been published since 2021. However, the overwhelming majority of existing code models share a major weakness - they are exclusively trained on the syntactic facet of software, significantly lowering their trustworthiness in tasks dependent on software semantics. To address this problem, a new class of "Morescient" GAI is needed that is "aware" of (i.e., trained on) both the semantic and static facets of software. This, in turn, will require a new generation of software observation platforms capable of generating large quantities of execution observations in a structured and readily analyzable way. In this paper, we present a vision and roadmap for how such "Morescient" GAI models can be engineered, evolved and disseminated according to the principles of open science.
|
 | Dieser Eintrag ist Teil der Universitätsbibliographie. |
 |
Dieser Datensatz wurde noch nicht in die Unibibliographie aufgenommen, es ist eine Unveröffentlichte Publikation. Diese Publikation als "Jetzt erschienen" melden. |
 Suche Autoren in
Actions (login required)
 |
Eintrag anzeigen |
|
|
