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A Paradigm Shift of Software Appraisal in the Age of Artificial Intelligence

  • Journal of Software Forensics
  • Abbr : JSF
  • 2026, 22(2), pp.21~29
  • DOI : 10.29056/jsf.2026.06.03
  • Publisher : Korea Software Assessment and Valuation Society
  • Research Area : Engineering > Computer Science
  • Received : May 24, 2026
  • Accepted : June 20, 2026
  • Published : June 30, 2026

Yun Young-Sun 1

1한남대학교

Accredited

ABSTRACT

This paper examines the impact of the rapid spread of large language models (LLMs) and agent-based systems on software development methodologies and software appraisal systems, and proposes a new appraisal paradigm for the age of artificial intelligence. As software development shifts from explicit human design and implementation toward AI-collaborative development characterized by natural language-based requirement specification, AI-assisted code generation, and iterative cycles of planning, execution, and verification, software appraisal must also expand beyond completed source code and functional deliverables. It should encompass training data, model architectures and weights, prompts and generation histories, the traceability of human-AI collaboration, and external APIs and operational pipelines. From this perspective, this paper systematizes forms of AI utilization as “of the AI, by the AI, for the AI” and highlights the need for an appraisal framework covering AI models, AI-generated outputs and processes, and the ecosystem in which AI operates.

Citation status

* References for papers published after 2024 are currently being built.