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20242026
most citedPricing4SaaS: Towards a pricing model to drive the operation of SaaS

9 citations · 17 across the 14 of their papers we have counts for

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9 papers · 1 filter

cs.SE2025

Rethinking Services in the Quantum Age: The SOQ Paradigm

Jose Garcia-Alonso, Enrique Moguel, Jaime Alvarado-Valiente +11

Quantum computing is rapidly progressing from theoretical promise to practical implementation, offering significant computational advantages for tasks in optimization, simulation,…

cs.SE2025

Meta-Fair: AI-Assisted Fairness Testing of Large Language Models

Miguel Romero-Arjona, José A. Parejo, Juan C. Alonso +3

Fairness--the absence of unjustified bias--is a core principle in the development of Artificial Intelligence (AI) systems, yet it remains difficult to assess and enforce. Current a…

cs.SE2025

Using Large Language Models to Develop Requirements Elicitation Skills

Nelson Lojo, Rafael González, Rohan Philip +4

Requirements Elicitation (RE) is a crucial software engineering skill that involves interviewing a client and then devising a software design based on the interview results. Teachi…

cs.SE2025

HORIZON: a Classification and Comparison Framework for Pricing-driven Feature Toggling

Alejandro García-Fernández, Jose Antonio Parejo, Antonio Ruiz-Cortés

Software as a Service (SaaS) has seen rapid growth in recent years, thanks to its ability to adapt to diverse user needs through subscription-based models. However, as pricing mode…

cs.SE2025

Automated Analysis of Pricings in SaaS-based Information Systems

Alejandro García-Fernández, José Antonio Parejo, Pablo Trinidad +1

Software as a Service (SaaS) pricing models, encompassing features, usage limits, plans, and add-ons, have grown exponentially in complexity, evolving from offering tens to thousan…

cs.SE2025

Red Teaming Contemporary AI Models: Insights from Spanish and Basque Perspectives

Miguel Romero-Arjona, Pablo Valle, Juan C. Alonso +7

The battle for AI leadership is on, with OpenAI in the United States and DeepSeek in China as key contenders. In response to these global trends, the Spanish government has propose…

cs.SE2025★ 3 cited

o3-mini vs DeepSeek-R1: Which One is Safer?

Aitor Arrieta, Miriam Ugarte, Pablo Valle +2

The irruption of DeepSeek-R1 constitutes a turning point for the AI industry in general and the LLMs in particular. Its capabilities have demonstrated outstanding performance in se…

cs.SE2025★ 1 cited

Early External Safety Testing of OpenAI's o3-mini: Insights from the Pre-Deployment Evaluation

Aitor Arrieta, Miriam Ugarte, Pablo Valle +2

Large Language Models (LLMs) have become an integral part of our daily lives. However, they impose certain risks, including those that can harm individuals' privacy, perpetuate bia…

cs.SE2025

ASTRAL: Automated Safety Testing of Large Language Models

Miriam Ugarte, Pablo Valle, José Antonio Parejo +2

Large Language Models (LLMs) have recently gained attention due to their ability to understand and generate sophisticated human-like content. However, ensuring their safety is para…