Large language models for software engineering: A systematic literature review
Large Language Models (LLMs) have significantly impacted numerous domains, notably
including Software Engineering (SE). Nevertheless, a well-rounded understanding of the …
including Software Engineering (SE). Nevertheless, a well-rounded understanding of the …
Understanding the effectiveness of large language models in code translation
Code translation aims to convert source code from one programming language (PL) to
another. Given the promising abilities of large language models (LLMs) in code synthesis …
another. Given the promising abilities of large language models (LLMs) in code synthesis …
Large language model assisted software engineering: prospects, challenges, and a case study
Large language models such as OpenAI's GPT and Google's Bard offer new opportunities
for supporting software engineering processes. Large language model assisted software …
for supporting software engineering processes. Large language model assisted software …
Lost in translation: A study of bugs introduced by large language models while translating code
Code translation aims to convert source code from one programming language (PL) to
another. Given the promising abilities of large language models (LLMs) in code synthesis …
another. Given the promising abilities of large language models (LLMs) in code synthesis …
Using model-driven engineering to automate software language translation
K Lano, H Siala - Automated Software Engineering, 2024 - Springer
The porting or translation of software applications from one programming language to
another is a common requirement of organisations that utilise software, and the increasing …
another is a common requirement of organisations that utilise software, and the increasing …
Towards Translating Real-World Code with LLMs: A Study of Translating to Rust
Large language models (LLMs) show promise in code translation-the task of translating
code written in one programming language to another language-due to their ability to write …
code written in one programming language to another language-due to their ability to write …
Enhancing model-driven reverse engineering using machine learning
HA Siala - Proceedings of the 2024 IEEE/ACM 46th International …, 2024 - dl.acm.org
Organizations often rely on large applications that are classified as legacy systems due to
their dependence on outdated programming languages or platforms. To modernize these …
their dependence on outdated programming languages or platforms. To modernize these …
Agile model-driven re-engineering
In this paper we describe an Agile model-driven engineering (MDE) approach, AMDRE, for
the re-engineering of legacy systems. The objective is to support the reuse of business …
the re-engineering of legacy systems. The objective is to support the reuse of business …
Flexible and Secure Code Deployment in Federated Learning using Large Language Models: Prompt Engineering to Enhance Malicious Code Detection
Federated Learning is a machine learning methodology that emphasizes data privacy,
involving minimal interaction with each other's systems, primarily exchanging model …
involving minimal interaction with each other's systems, primarily exchanging model …
[PDF][PDF] Large Language Model Assisted Software Engineering: Prospects, Challenges, and a Case Study Preprint
TG Lenz Belzner, M Wirsing - sosy-lab.org
Large language models such as OpenAI's GPT and Google's Bard offer new opportunities
for supporting software engineering processes. Large language model assisted software …
for supporting software engineering processes. Large language model assisted software …