Evaluating Language Models on Infrastructure-as-Code Development

Συγγραφείς: Tarasova, Natalia, Balp-Straffon, Enrique, Iancheruk, Aleksei, Sielskyi, Yevhenii, Kozodoi, Nikita, Butler, Liam Byrne Jack, Jiang, Dayuan, Czelej, Marcin, Ang, Andrew, Shah, Yash, Blanco, Roi, Ivanov, Sergei

Πηγή: 2026 IEEE Cloud Summit CLOUDSUMMIT Cloud Summit, 2026 IEEE. :86-92 Jun, 2026

Relation: 2026 IEEE Cloud Summit

CodeForge: Real-Time Code Development Platform

Συγγραφείς: Kishore, Kathari Hima, Remya, K

Πηγή: 2026 5th OPJU International Technology Conference (OTCON) on Smart Computing for Innovation and Advancement in Industry 5.0 Smart Computing for Innovation and Advancement in Industry 5.0, 2026 5th OPJU International Technology Conference (OTCON) on. :1-6 Jun, 2026

Relation: 2026 5th OPJU International Technology Conference (OTCON) on Smart Computing for Innovation and Advancement in Industry 5.0

Auto App Generator: AI-Powered Platform for Automatic Code and Application Development With Natural Language

Συγγραφείς: Meia, SK Sardhar, Rajitha, L., Raju, Muntha, Harika, Peddolla, Sandeep, Pogula, Sukumar, Ramagiri

Πηγή: 2026 International Conference on Smart Futuristic Technology Smart Futuristic Technology (ICSFT), 2026 International Conference on. :1-7 Jan, 2026

Relation: 2026 International Conference on Smart Futuristic Technology (ICSFT)

A Conflict Detection Method for User Story Acceptance Criteria in Low-Code Development Scenarios

Συγγραφείς: Hu, Weili, Zhao, Zhuoning, Cao, Liang, Liu, Kui, Du, Yuanma

Πηγή: 2025 5th International Conference on Electronic Information Engineering and Computer Communication (EIECC) Electronic Information Engineering and Computer Communication (EIECC), 2025 5th International Conference on. :708-714 Dec, 2025

Relation: 2025 5th International Conference on Electronic Information Engineering and Computer Communication (EIECC)

Accelerating Enterprise Application Development Through AI-Enhanced Low-Code Platforms: An Empirical Analysis of Oracle APEX with Generative AI Integration

Συγγραφείς: Kothapalli, Mohankrishna, Vuppu, Dharanidhar

Πηγή: SoutheastCon 2026 SoutheastCon, 2026. :1-7 Feb, 2026

Relation: SoutheastCon 2026

Research on Low-code Development Platform for Typical Railway Scenarios Based on Container Cloud

Συγγραφείς: Wang, Zhe, Guo, Ge, Liu, Chengliang, Zhu, Weiqiao, Yu, Jianrong, Wang, Qiang

Πηγή: 2025 7th International Conference on Frontier Technologies of Information and Computer (ICFTIC) Frontier Technologies of Information and Computer (ICFTIC), 2025 7th International Conference on. :1185-1191 Dec, 2025

Relation: 2025 7th International Conference on Frontier Technologies of Information and Computer (ICFTIC)

LLM4FaaS: No-Code Application Development using LLMs and FaaS

Συγγραφείς: Wang, Minghe, Pfandzelter, Tobias, Schirmer, Trever, Bermbach, David

Πηγή: Proceedings of the 18th IEEE/ACM International Conference on Utility and Cloud Computing. :1-8

Διαθεσιμότητα: http://dl.acm.org/doi/10.1145/3773274.3774686

LLM-Based Generation of Low-Code Development Platforms

Συγγραφείς: Schenkenfelder, Bernhard

Πηγή: 2025 ACM/IEEE 28th International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C) MODELS-C Model Driven Engineering Languages and Systems Companion (MODELS-C), 2025 ACM/IEEE 28th International Conference on. :59-64 Oct, 2025

Relation: 2025 ACM/IEEE 28th International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C)

Transforming Code Development with Large Language Models

Συγγραφείς: Kaplunovich, Alex

Πηγή: 2025 International Conference on Intelligent Computing, Communication, Networking and Services (ICCNS) Intelligent Computing, Communication, Networking and Services (ICCNS), 2025 International Conference on. :228-236 Sep, 2025

Relation: 2025 International Conference on Intelligent Computing, Communication, Networking and Services (ICCNS)

Citizen Development als Treiber der digitalen Transformation – Aktuelle Ansätze bei der Adoption von Low-Code Development Plattformen

Citizen Development as a Driver of Digital Transformation—Current Approaches of Low-Code Development Platform Adoption

Συγγραφείς: Prinz, Niculin^{Aff1, IDs40702023010218_cor1}, Huber, Melanie^Aff2, Riedinger, Constanze^Aff1, Rentrop, Christopher^Aff1

Πηγή: HMD Praxis der Wirtschaftsinformatik. 61(5):1115-1135

Leveraging Large Language Models for Code Translation and Software Development in Scientific Computing

Συγγραφείς: Dhruv, Akash, Dubey, Anshu

Πηγή: Proceedings of the Platform for Advanced Scientific Computing Conference. :1-9

Διαθεσιμότητα: http://dl.acm.org/doi/10.1145/3732775.3733572

AI-enabled business intelligence: low-code development of a semi-automated market report solution-technology requirements and tool selection

Συγγραφείς: Deburda, Leonard Benedict Thomas

Συνεισφορές: Aguiar, Hugo Menino, RUN

Πηγή: urn:tid:204239354

Θεματικοί όροι: Low-code, AI, Market reporting, Human-in-the-loop, Business process automation, Product development

Περιγραφή αρχείου: application/pdf

Διαθεσιμότητα: http://hdl.handle.net/10362/202818

Teaching low-code development with BESSER

Συγγραφείς: Alfonso, Ivan, Cabot, Jordi

Πηγή: 2025 ACM/IEEE 28th International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C) MODELS-C Model Driven Engineering Languages and Systems Companion (MODELS-C), 2025 ACM/IEEE 28th International Conference on. :39-42 Oct, 2025

Relation: 2025 ACM/IEEE 28th International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C)

Anew Paradigm of AI Development Driven by Low-Code

Συγγραφείς: Song, Wenxuan

Πηγή: 2025 IEEE 3rd International Conference on Control, Electronics and Computer Technology (ICCECT) Control, Electronics and Computer Technology (ICCECT), 2025 IEEE 3rd International Conference on. :1366-1372 Apr, 2025

Relation: 2025 IEEE 3rd International Conference on Control, Electronics and Computer Technology (ICCECT)

TraceDev: A Traceability-Driven Multi-agent Framework for Requirement-to-Code Development

Συγγραφείς: Chen, Mingyu, Zhang, Yakun, Xie, Zihao, Luo, Yixing, Xu, Jinrui, Gao, Cuiyun, Zhao, Kaiqi, Ye, Yunming

Θεματικοί όροι: Software Engineering

Σύνδεσμος πρόσβασης: https://arxiv.org/abs/2607.18886

EFICAS: Empowering Non-Experts to Build AI Applications via No-Code Development

Συγγραφείς: Samanli, Hande Ates, Ozberk, Muhammed, Yilmaz, Muhammet Tarik, Cem, Zeynep Tugba, Bayar, Dilara, Erdogmus, Alim Kerem, Tas, Muhammed Oguz

Πηγή: 2025 Innovations in Intelligent Systems and Applications Conference (ASYU) Intelligent Systems and Applications Conference (ASYU), 2025 Innovations in. :1-5 Sep, 2025

Relation: 2025 Innovations in Intelligent Systems and Applications Conference (ASYU)

Application of Low Code Development Platform in Digital Project Management

Συγγραφείς: Wei, Wenting, Hou, Xiaoe

Πηγή: 2024 International Conference on Internet of Things, Robotics and Distributed Computing (ICIRDC) ICIRDC Internet of Things, Robotics and Distributed Computing (ICIRDC), 2024 International Conference on. :22-26 Dec, 2024

Relation: 2024 International Conference on Internet of Things, Robotics and Distributed Computing (ICIRDC)

Assessing Security Risks in Low-Code Development Platforms: A Systematic Literature Review

Συγγραφείς: Hathnagoda, Hiruni, Wickramarachchi, Ruwan

Πηγή: 2024 International Conference on Advances in Technology and Computing (ICATC) Advances in Technology and Computing (ICATC), 2024 International Conference on. :1-6 Dec, 2024

Relation: 2024 International Conference on Advances in Technology and Computing (ICATC)

Preliminary Study on the Accessibility and Learning Experience of Low-Code Development Platforms

Συγγραφείς: Theam Lim, Jit, Kang Lee, Chen, Heng Lim, Ean, Voon Wong, Pei, Tak Yew, King, Yee Ooi, Chek

Πηγή: 2024 5th International Conference on Artificial Intelligence and Data Sciences (AiDAS) Artificial Intelligence and Data Sciences (AiDAS), 2024 5th International Conference on. :486-491 Sep, 2024

Relation: 2024 5th International Conference on Artificial Intelligence and Data Sciences (AiDAS)

Comparative Analysis of Carbon Footprint in Manual vs. LLM-Assisted Code Development

Συγγραφείς: Cheung, Kuen Sum, Kaul, Mayuri, Jahangirova, Gunel, Mousavi, Mohammad Reza, Zie, Eric

Πηγή: Proceedings of the 1st International Workshop on Responsible Software Engineering. :13-20

Διαθεσιμότητα: http://dl.acm.org/doi/10.1145/3711919.3728678