A Template-Based Approach to Code Generation Within an Agent Paradigm

Pinto-Santos, Francisco; Alizadehsani, Zakieh; Alonso-Moro, David; González‐Briones, Alfonso; Chamoso, Pablo; Corchado, Juan M.

doi:10.1007/978-3-030-85710-3_25

Cited by 3 publications

(2 citation statements)

References 15 publications

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“…While this approach can save time, it often leads to code redundancy and maintenance issues. Code Templates [2]: Another traditional method involves the use of code templates or boilerplate code provided by IDEs or libraries. Developers can use these templates as a starting point and customize them according to their requirements.…”

Section: Traditional Methods Of (Sscg)mentioning

confidence: 99%

Exploring AI Innovations in Automated Software Source Code Generation: Progress, Hurdles, and Future Paths

Odeh

2024

IJCAI

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In today's dynamic world of software development, the demand for efficient and rapid creation of highquality code has never been more pronounced. Automated software source code generation (ASSCG) emerges as a compelling solution to meet this demand, offering significant advantages in terms of speed, accuracy, and scalability. This paper aims to explore the critical role of automated software source code generation and its profound significance in modern software development practices. By navigating through the intersection of ASSCG, AI innovations, and the challenges therein, this paper endeavors to provide a comprehensive understanding of this transformative field and pave the way for informed decision-making and advancements in software development practices. This paper delves into the critical role of ASSCG and its transformative impact on modern software development. In this work, we endeavor to delve into the multifaceted landscape of automated code generation, assessing its significance, the transformative potential of AI innovations, and the challenges and objectives inherent in this evolving domain.Povzetek: Prispevek raziskuje vloge in izzive avtomatizirane generacije programske kode z uporabo umetne inteligence. Poudarek je na inovacijah z uporabo globokega učenja in evolucijskih algoritmov, ki izboljšujejo hitrost in natančnost kodiranja. Študija identificira ključne ovire in prihodnje smeri razvoja.

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Section: Traditional Methods Of (Sscg)mentioning

confidence: 99%

Exploring AI Innovations in Automated Software Source Code Generation: Progress, Hurdles, and Future Paths

Odeh

2024

IJCAI

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“…Approaches using templates and patterns to generate code based on predefined structures and rules [50], [51], [52]. 14 Frameworks (e.g., Tensorflow, PyTorch)…”

Section: Tb Code Generationmentioning

confidence: 99%

A Comparative Review of AI Techniques for Automated Code Generation in Software Development: Advancements, Challenges, and Future Directions

Odeh,

Mohammed

2024

TEM Journal

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Artificial Intelligence (AI), as one of the most important fields of computer science, plays a significant role in the software development life cycle process, especially in the implementation phase, where developers require considerable effort to convert software requirements and design into code. Automated Code Generation (ACG) using AI can help in this phase. Automating the code generation process is becoming increasingly popular as a solution to address various software development challenges and increase productivity. In this work, we provide a comprehensive review and discussion of traditional and AI techniques used for ACG, their challenges, and limitations. By analysing a selection of related studies, we will identify all AI methods and algorithms used for ACG, extracting the evaluation metrics and criteria such as Accuracy, Efficiency, Scalability, Correctness, Generalization, and more. These criteria will be used to perform a comparative result for AI methods used for ACG, exploring their applications, strengths, weaknesses, performance, and future applications.

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PoCH: automatic HDL code generator tool for Polar channel coding decoders in multimedia communication systems

Hematkhah

Kavian

Namjoo

2023

Multimed Tools Appl

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A Template-Based Approach to Code Generation Within an Agent Paradigm

Cited by 3 publications

References 15 publications

Exploring AI Innovations in Automated Software Source Code Generation: Progress, Hurdles, and Future Paths

Exploring AI Innovations in Automated Software Source Code Generation: Progress, Hurdles, and Future Paths

A Comparative Review of AI Techniques for Automated Code Generation in Software Development: Advancements, Challenges, and Future Directions

PoCH: automatic HDL code generator tool for Polar channel coding decoders in multimedia communication systems

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