KJCKorea
Journal Central

Software completeness appraisal plays a critical role in contractual compliance verification, dispute resolution, and public procurement evaluation. It is a dynamic, execution-based assessment process that determines whether contracted requirements are fulfilled through observable system behavior. Large Language Models (LLMs) offer potential support for requirement understanding and code analysis, yet their susceptibility to hallucination and non-determinism limits their suitability as final decision-making tools in high-reliability contexts. This paper proposes a hallucination-controlled, LLM-assisted appraisal framework in which LLMs are restricted to auxiliary analytical roles. Specifically, LLMs support test scenario drafting, requirement-evidence semantic matching, and report drafting, while final completeness judgments are made by experts based on execution evidence and predefined rules. The proposed framework demonstrates how LLMs can be integrated into software completeness appraisal in a controlled manner, improving efficiency while preserving reliability.

In the information society, the importance of software is increasing, and the value of commercial software is more important than ever. While software represents a high-value-added knowledge industry, it still faces the problem of being treated as a simple service product. If the value of software is quantified, it can be used as collateral for loans or as crucial information for stock listings. Technology valuation methods include the market approach, cost approach, royalty approach, and profit approach. Technology valuation involves incorporating valuation factors into the technology valuation method to determine the price. This paper proposes optimal evaluation factors for valuation. The evaluation factors used in software valuation are categorized into market analysis factors, technology analysis factors, and rights analysis factors. Market analysis assesses market competitiveness based on environmental and competitive analysis of the software market. Technology analysis analyzes the technology's level compared to competing technologies, technology development trends, the current status of competing technologies, the difficulty of imitating the target technology, and its ripple effects. Rights analysis identifies software intellectual property rights, such as program registration and software patent registration, and analyzes rights information, rights stability, and the scope of rights application.

Recent 3D immersive media standards such as MPEG-I V3C and the MAF environment represent a single scene as a composition of numerous objects and tracks. In conventional DRM control mechanisms, playback begins only after decryption authorization has been verified for all media tracks. In 3D environments with a large number of objects, this approach causes significant initial playback delay. In this study, we propose a scene-level DRM control mechanism that leverages the track-set structure of MAF. The 3D scene is classified into mandatory and optional tracksets, and rendering begins immediately once the key status of the mandatory track set is verified. Performance evaluation results demonstrate that the proposed method reduces initial playback waiting time by up to 80% compared to conventional approaches, thereby significantly improving the Quality of Experience (QoE) for immersive content services.