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20072026
most citedSystematic Literature Review of Validation Methods for AI Systems

140 citations · 645 across the 79 of their papers we have counts for

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10 papers · 1 filter

cs.SE2026

An Autonomy Aware Metamodel for Human AI Collaboration in Software Engineering

Md Mahade Hasan, Md Toufique Hasan, Zheying Zhang +5

Artificial Intelligence (AI) is shifting software engineering from tool-supported processes towards AI-first collaboration, where authority is dynamically distributed across human…

cs.CV2026

SE-MoLoRA: Shared-Expert LoRA Adapters for Domain-Specific Photographic Assessment

Bishwash Khanal, Anlan Zhang, Sasu Tarkoma +2

Vision-language models can describe images fluently, but they often fail to provide actionable photographic critique because semantic content and aesthetic judgment remain entangle…

quant-ph2026

Toward Standardized Quantum Provenance: A Cross-Provider Analysis, Unified API, and Reference Prototype

Jouni Peltonen, Vlad Stirbu, Tommi Mikkonen +1

Quantum software development requires provenance describing programs, compilation, execution, hardware characterization, results, and software environments, but providers expose th…

cs.CR2026

An End-to-End Threat Model for the Quantum-as-a-Service Pipeline

Badhon Rahman, Majid Haghparast, Tommi Mikkonen

Cloud-based accessing of Quantum-as-a-Service (QaaS) platforms such as IBM Quantum, IonQ Cloud, and Amazon Braket is becoming popular day by day. Hybrid quantum-classical algorithm…

cs.CR2026

On the Figures of Merit for Quantum Software Security: Toward a Benchmarking Rubric

Badhon Rahman, Majid Haghparast, Tommi Mikkonen

Quantum software is increasingly provided through multi-tenant and cloud-based Quantum-as-a-Service (QaaS) stacks. A growing concern about the diverse attack vectors across the pip…

cs.SE2026

Epic-Organized vs. Requirement-Aligned Gherkin: An Empirical Evaluation of LLM-Based Acceptance Criteria Generation

Shahbaz Siddeeq, Mateen Abbasi, Jussi Rasku +4

Automated authoring of Gherkin Behavior-Driven Development (BDD) acceptance criteria remains a manual bottleneck in requirements engineering. This study investigates whether epic-o…