[OCTOBER 2024] AQCLab participates in ESEM 2024

Validation of an Analysability Model in Hybrid Quantum Software

AQCLab has participated in ESEM 2024, the 18th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, presenting the work "Validation of an Analysability Model in Hybrid Quantum Software". ESEM 2024, held in conjunction with ESEIW 2024 (Empirical Software Engineering International Week), took place in Barcelona on 24-25 October, serving as a forum in which researchers and practitioners can present and discuss recent research results related to empirical software engineering.

In this work, our colleagues Ana Díaz, Moisés Rodríguez and Mario Piattini, together with José Antonio Cruz Lemus from UCLM and Maria Teresa Baldassarre from the University of Bari present the results of the empirical validation process that has been carried out with students from the University of Bari on the model for the evaluation of the analyzability of hybrid quantum software defined by AQCLab together with UCLM's Alarcos Research Group.

Validation of an Analysability Model in Hybrid Quantum Software

[OCTOBER 2024] EvalCOMIX-FLOASS obtains the ISO/IEC 25000 Functional Suitability certificate

logo EvalCOMIX-FLOASS

Universidad de Cádiz has obtained the certification of conformance to ISO/IEC 25000 Functional Suitability for their software product EvalCOMIX-FLOASS. The certificate has been issued by AENOR after the evaluation from AQCLab.

EvalCOMIX-FLOASS is a platform with the aim of facilitating the design of assessment tools in the field of Learning Management Systems (LMS), solving the limitations of these systems with respect to different types of assessment, such as self-assessment and peer assessment processes. For this purpose, EvalCOMIX allows the design and management of assessment tools and their integrated application in e-Learning environments such as Moodle.

EvalCOMIX-FLOASS is composed of EvalCOMIX-FLOASS_Server and EvalCOMIX-FLOASS_MD. EvalCOMIX-FLOASS_Server is the EvalCOMIX-FLOASS web service that allows the design and management of instruments for the assessment of the degree of achievement of learning outcomes and competence development. EvalCOMIX-FLOASS_MD is the plugin for the integration of EvalCOMIX-FLOASS in Moodle.

The Functional Suitability evaluation helps to ensure that the software product being evaluated fully and correctly meets the requirements specified for it, thus helping to improve customer confidence and satisfaction, and providing a differentiating element with respect to its competitors.

[SEPTEMBER 2024] AQCLab participates in QUATIC 2024

QUATIC 2024

AQCLab has participated in QUACTIC 2024, 17th International Conference on the Quality of Information and Communications Technology, presenting the paper "An Environment for the Assessment of the Functional Suitability of AI Systems". QUATIC 2024 took place in Pisa (Italy) from 11-13 September, serving as a forum for practitioners and researchers on the dissemination of advanced methods, techniques and tools to support quality approaches in ICT engineering and management.

In this work, our colleagues Jesús Oviedo, Moisés Rodríguez and Mario Piattini propose an environment for measuring and evaluating the functional suitability of Artificial Intelligence systems. This is a research work carried out by AQCLab in collaboration with the Alarcos group in which they propose: a model with subcharacteristics, properties and metrics to evaluate functional suitability aligned with the ISO/IEC 25059 standard; an evaluation process aligned with ISO/IEC 25040; and a technological environment with tools to support the execution of the evaluation.

[SEPTEMBER 2024] ISO/IEC quality standards for AI engineering

ISO/IEC quality standards for AI engineering

Our colleagues Jesús Oviedo, Moisés Rodríguez and Mario Piattini, in collaboration with Andrea Trenta, Dino Cannas and Domenico Natale from Data Quality Lab and UNINFO in Italy, have published the article ISO/IEC quality standards for AI engineering in volume 54 of the journal Computer Science Review.

This article provides an extensive review of the various existing international standards, with a special focus on those defined by ISO/IEC, related to the quality of Artificial Intelligence systems. Thus, standards are addressed in different dimensions of quality for this type of systems: the quality of the software processes used in their development, the quality of the software products themselves, and the quality of the data of the applications that integrate AI systems. The article also describes the different existing proposals for assessing the quality of AI systems in relation to the above dimensions.

[JUNE 2024] AQCLab participates in CIbSE 2024

CIbSE 2024

AQCLab has participated in the XXVII Ibero-American Conference on Software Engineering (CIbSE 2024), the leading Software Engineering research forum in Ibero-America, which took place in Curitiba (Brazil) between 6 and 10 May 2024. AQCLab presented two research papers regarding quality in AI systems and hybrid (classical-quantum) systems:

  • Our colleagues Jesús Oviedo, Moisés Rodríguez and Mario Piattini han presentado presented their work "Entorno para la Evaluación de la Adecuación Funcional en Sistemas IA", where they propose a methodological and technological environment for the measurement and evaluation of Functional Suitability in AI Systems. The environment proposes a set of metrics and quality properties aligned with the new ISO/IEC 25059 standard. It also has an assessment methodology aligned with ISO/IEC 25040, and a set of automatic tools to facilitate the evaluation of the quality of Functional in AI Systems.
  • Ana Díaz, Moisés Rodríguez, José Antonio Cruz-Lemus and Mario Piattini presented the article "Evaluación de la mantenibilidad de los sistemas híbridos (clásico-cuánticos)", in which they introduce a pioneering methodological and technological framework comprising a set of properties and metrics and a set of automated tools designed for hybrid software maintainability.

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