AQCLab has become the first organisation to obtain accreditation for evaluating data quality in Artificial Intelligence (AI) systems. After successfully passing the extension audit carried out by ENAC, the laboratory has added the evaluation of data completeness in accordance with ISO/IEC 5259-2 to its ISO/IEC 17025 accreditation scope, adding to the product quality and data quality accreditations that AQCLab pioneered more than 15 years ago.
ISO/IEC 5259-2 defines a data quality model for advanced analytics and AI systems based on Machine Learning (ML), ensuring that training and analysis processes are supported by reliable, complete and comprehensive data.
With this new accredited test, AQCLab offers companies the possibility of validating the quality of data in their AI systems, providing the confidence that comes with an internationally recognised accreditation backed by a team of software and data quality experts.
Why is it important to evaluate data quality in AI? It is a critical factor for the success of Artificial Intelligence systems because:
IIf your company wants to evaluate the quality of data in its AI systems, you can contact AQCLab via our form.
Our colleagues Ana Díaz and Moisés Rodríguez have presented at IQSOFT 2025 the advances of AQCLab in hybrid software quality evaluation through the work Towards an Analyzability Model for Hybrid Software. IQSOFT 2025, International Conference on Quantum Software, took place in Bilbao between 10 and 12 June with the aim of bringing together researchers, engineers and professionals interested in the advances and business applications of quantum software.
The work Towards an Analyzability Model for Hybrid Software presents the validation of the quality model defined by AQCLab for the evaluation of the analyzability of hybrid software products (products that integrate quantum and classical software components). It was presented at the conference by our colleague Ricardo Pérez.
Our colleagues Rubén Marquez and Moisés Rodríguez have presented at ICSOFT 2025 the advances of AQCLab in AI evaluation through the works MMSIA: Towards AI Systems Maturity Assessment and Towards Quality Assessment of AI Systems: A Case Study. ICSOFT 2025, 20th International Conference on Software Technologies, took place in Bilbao between 10 and 12 June with the aim of bringing together researchers, engineers and professionals interested in software development technologies and methodologies.
The work Towards Quality Assessment of AI Systems: A Case Study presents the environment developed by AQCLab in collaboration with the UCLM for software quality assessment of AI systems under the ISO/IEC 25059 standard.
The paper MMSIA: Towards AI Systems Maturity Assessment has defended the new MMSIA maturity model that will allow organisations to assess, improve and certify the quality of the development processes of companies that build AI systems.
On 15 May, our director Moisés Rodríguez, together with María José Escalona, Professor at the University of Seville, moderated the round table The university-industry relationship: a debate that remains necessary, as part of the CIBSE 2025 conference.
This session brought together professionals from both private companies and public administration, such as:
During the session several key topics were addressed, including:
The session was a great success and allowed to highlight the difficulties in the University-Company/Administration collaboration, as well as proposals from different points of view to improve these collaborations.
AQCLab sponsors the XXVIII Ibero-American Conference on Software Engineering (CIbSE 2025), the leading Software Engineering research forum in Ibero-America, which will take place, for the first time in Europe, in Ciudad Real from 12 to 16 May 2025.
The main objective of this conference is to promote high quality scientific research in Iberoamerican countries and, thus, to support researchers in this community in the publication and discussion of their work. In addition, the conference fosters collaboration and scientific production between academics, students and practitioners, and will include invited talks from influential researchers in the Software Engineering community.
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