Our scientific director, Mario Piattini, took part in the Data Management Summit 2026 in Rome on 1 October. In a talk entitled “The UNE Experience”, Mario analysed the work carried out by UNE in collaboration with the Spanish Directorate for Data, DQTeam and the Alarcos Research Group in drawing up the UNE 0077, 0078, 0079, 0080 and 0085 specifications. During his presentation, he explained how these guidelines bring together global best practices to provide a comprehensive framework for data governance, management and quality.
After the assessment by the Spanish accreditation body ENAC, AQCLab has renewed its ISO/IEC 17025 accreditation for software and data quality evaluations based on the ISO/IEC 25000 series of standards and AI data quality evaluations based on ISO/IEC 5259. As a result, AQCLab remains the first and only laboratory accredited for this type of evaluations.
ENAC/ILAC accreditation endorses a laboratory’s technical competence to produce fully reliable results. To obtain and maintain this recognition, ENAC carries out periodic audits to assess whether the laboratory has qualified staff and adequate infrastructure, follows a rigorous methodology and implements quality management practices in its operations.
For businesses, using laboratories with the highest level of technical competence is essential. This assurance not only guarantees the quality of their products and minimises operational risks, but also boosts customer confidence and facilitates access to new international markets.
In this context, AQCLab offers specialised assessments that enable clients to obtain quality certification in accordance with the international standards ISO/IEC 25000 and ISO/IEC 5259. If your organisation is interested in verifying and evaluating the quality of its software products or databases, please contact us via the following link.
Our colleagues Moisés Rodríguez and Mario Piattini, in collaboration with Gema Gutierrez and Javier Garzás from Rey Juan Carlos University, have published the article OKR4DQ: A Case Study for Improving Data Quality with Objectives and Key Results in volume 32(6) of the journal The Journal of Universal Computer Science (J.UCS).
As organisations move forward with their digital transformation initiatives, the strategic importance of data quality becomes paramount. Legal and security considerations, together with the economic value of data, further highlight the need for high-quality, reliable and trustworthy datasets. In particular, the effectiveness of artificial intelligence techniques depends largely on the integrity of the underlying data. However, organisations often lack structured methods for assessing and improving data quality in line with business objectives.
This article addresses this shortcoming by introducing OKR4DQ, a methodology that utilises Objectives and Key Results (OKRs) to systematically improve data quality. The approach combines quality assessments based on the ISO/IEC 25012 standard with the definition and implementation of OKRs focused on specific quality characteristics requiring improvement. In addition to the comprehensive methodology, its application is demonstrated in a real-world case study, showing quantifiable improvements in data quality and offering practical insights into the challenges and benefits of aligning data quality initiatives with business performance objectives.
Our colleague Moisés Rodríguez took part in JISBD 2026, the 30th Conference on Software Engineering and Databases, presenting the paper “An Environment for Evaluating the Analysability of Classical-Quantum Hybrid Systems”.
JISBD took place in Alicante from 16 to 18 June as part of the conference organised by the Society for Software Engineering and Software Development Technologies (SISTEDES), serving as a leading forum for researchers from Spain, Portugal and Latin America in the fields of software engineering and databases. The paper was presented in QuantumX, the track dedicated to quantum computing and quantum software engineering within the JISBD programme.
The work, carried out by our colleagues Ana Díaz-Muñoz, Javier Verdugo, Moisés Rodríguez and Mario Piattini, in collaboration with Jose Antonio Cruz-Lemus from UCLM and Rafael Martinez-Gasca from the University of Seville, presents a methodological and technological framework comprising a set of properties, metrics and automated tools that enable the analysability of hybrid software to be assessed. Furthermore, it presents the results of applying this approach to a real-world case study involving a hybrid product, through which its applicability has been verified.
Our colleague Ana Díaz-Muñoz took part in CISTI 2026, 21st Iberian Conference on Information Systems and Technologies, presenting the paper Integración de ECSS e ISO/IEC 25000 para la Evaluación del Software Espacial (Integration of ECSS and ISO/IEC 25000 for the Assessment of Space Software).
The CISTI 2026 conference took place in Santiago de Compostela from 17 to 20 June, with the aim of bringing together researchers, professionals and specialists in the field of information systems and technologies to share scientific, technological and applied advances.
The paper presented proposes an approach for assessing the quality of space software at EUMETSAT through the integration of the ECSS regulatory framework with the ISO/IEC 25000 family of standards. This integration enables the definition of an assessment model tailored to software products in the space sector, incorporating objective metrics, verifiable evidence and criteria adapted to different levels of criticality.
The study was carried out within the context of software quality assessment activities conducted jointly by AQCLab, EUMETSAT and IMMEDIA IT, combining the real-world needs of the space industry with approaches based on international software quality standards.
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