Intelligent Approaches for Solving Software Problems with AI Techniques

Dear Colleagues,

Artificial Intelligence (AI) technology, especially multimodal AI and Large Language Models (LLMs), has been rapidly advancing in recent years. This progress has brought innovative changes to traditional software development and methods of solving software problems. These AI technologies can understand and process various forms of data, integrating these forms of data to produce new analyses and outcomes. Therefore, we aim to discuss intelligent approaches to solve existing software problems using these rapidly evolving AI technologies.

While these latest AI technologies are improving our lives in various ways, they come with several limitations and challenges. For instance, the integration and optimization of multimodal AI systems require significant technical complexity, and LLMs sometimes produce uncertain information. Additionally, models based on the latest AI technologies demand substantial data and training costs for software operation. Thus, continuous research and development are essential to effectively utilize these latest AI technologies.

We will explore how these latest AI technologies can enhance the quality, efficiency, and security of software. For example, we aim to study and share how multimodal AI can offer intelligent methods for software development by integrating various data types, or how LLMs can optimize complex linguistic processing tasks and contribute to software development. Besides multimodal AI and LLM, there are various other latest AI technologies, and we plan to share specific case studies and research results on how these technologies contribute to software development.

This Special Issue welcomes original research papers and reviews. The research areas can include, but are not limited to:

• Methodologies for solving software problems using AI technologies;
• Effective integration/application methods of AI technologies with existing approaches;
• AI solutions in various industries;
• Software testing and quality control methods using AI;
• Methodologies for privacy protection and data security;
• Effective interaction methods between humans and AI;
• Data collection and preprocessing methods based on the latest AI technology;
• Software development and limitations using multimodality or cross-modality;
• Evaluation methods for successful AI service development;
• Ethical and legal aspects of software developed using AI technology;
• Model lightening and optimization of super-large AI;
• Service cases using super-large AI;
• LLM (e.g., GPT, BERT, LLaMA, Alpaca) applications for solving existing problems.

Through this Special Issue, we hope that your research and experience will deepen our understanding in this field and contribute to the application and advancement of the latest AI technologies in software development.

Dr. Yeong-Seok Seo
Dr. Jun-Ho Huh
Guest Editors

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• artificial intelligence
• software engineering
• AI service development
• multi-modal
• large language model (e.g., GPT, BERT, LlaMa, Alpaca)
• software development
• model lightening
• model optimization
• data security
• data integration