--- Trust and Security in AI-Generated Documentation
Author(s): DINCĂ, Ana-Maria; AXINTE, Sabina-Daniela; BACIVAROV, Ioan
Author(s) keywords: Artificial Intelligence, ClaudeMind, reliable documentation, secure software development lifecycle, technical documentation generation
Reference keywords: artificial intelligence, ClaudeMind, documentation, software engineering
Abstract:
This paper examines the potential of the Artificial Intelligence (AI) tools in the context of software development tasks and the generation of associated documentation. The first part of the paper surveys software professionals' perceptions of how AI impacts task completion times. The second part of the paper examines the utilization of the AI tool ClaudeMind to generate technical and non-technical documentation for a PDF management microservice. Two prompts are submitted to ClaudeMind, and the resulting documentations are evaluated for overall quality and suitability. This research is motivated by studies indicating that Large Language Model (LLM) performance can deteriorate with increasing complexity, highlighting the need to understand AI’s strengths and limitations in specific domains. This paper aims to provide insights into the current state of AI in software engineering and whether it can be used to automate tedious tasks such as writing and maintaining the documentation.
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Article Title: Trust and Security in AI-Generated Documentation
Author(s): DINCĂ, Ana-Maria; AXINTE, Sabina-Daniela; BACIVAROV, Ioan
Date of Publication: 2024-12-30
Publication: International Journal of Information Security and Cybercrime
ISSN: 2285-9225 e-ISSN: 2286-0096
Digital Object Identifier: 10.19107/IJISC.2024.02.05
Issue: Volume 13, Issue 2, Year 2024
Section: Cyber-Attacks Evolution and Cybercrime Trends
Page Range: 52-58 (7 pages)
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