Skip to content

Specification Format Effects When the Developer Changes from Specification Format Effects When the Developer Changes from Human to AI Human to AI

· 0 citations · 12 references

TL;DR

The findings identify the developer's processing architecture as a variable the conceptual modeling tradition needs to account for in order to account for specification quality in AI development platforms.

View source

Similar papers

Preprint Aug 2026

The Specification Paradox: Rethinking Requirements Engineering in the Age of AI

The growing adoption of Large Language Models (LLMs) in Software Engineering has reinforced the expectation that coding activities can be largely automated. However, this perception may represent yet another historical search for a solution capable of eliminating the inherent challenges of software development. This ar...

T. Sirqueira, Jessica Faciroli · 1 citation
Jul 2026

Specification-Driven Development as the Foundation of AI-Native Enterprise Software Engineering

Enterprise software requires specification governance to transform probabilistic AI generation into deterministic, auditable engineering, and the SGRM framework is introduced, which defines four-component specification contracts, constrains stochastic generation via deterministic validation, and integrates generation,...

Mamdouh Alenezi · 0 citations
Conference Open access 2025

The end of Coding: Predicting a Post-Code World with AI-Native Software Development

The research found out three things about how developers use Artificial Intelligence, adoption of Artificial Intelligence satisfaction, and with Artificial Intelligence the different ways developers are using Artificial Intelligence is changing.

P. Vijayakumar, Jegatheeswari Perumalsamy, P. Parida et al. · 0 citations
Preprint Jul 2026

Biased or Personalized? The Impact of Personal Information on AI-driven Development

Generative AI is increasingly permeating software engineering, enabling developers to generate functions, files, and even entire applications from natural language specifications. AI systems are also becoming more personalized, adapting outputs based on inferred user characteristics and interaction history. While perso...

Erfan Entezami, Madeline Endres · 0 citations
Book Open access Jul 2026

Invisible Strings of Developer Programming Behavior with AI

This model captures four dimensions of a development State: Intention, Action, Supporting Tool, and Emotion, and identifies three key patterns that carry implications for training developers and designing context-aware, multi-modal AI assistants.

Yin-wei Wu, Ze-Shi Li, Kathryn T. Stolee et al. · 0 citations
Jul 2026

An Interpretable AI Architecture for System-Level Reasoning from Engineering Documentation

Engineering systems are increasingly characterized by large, heterogeneous collections of technical documentation, including specifications, interface descriptions, and contribution records. While artificial intelligence techniques have been applied to document analysis, many existing approaches rely on opaque models t...

Amrutha Moorthy · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.