Our colleagues Ana Díaz, Moisés Rodríguez and Mario Piattini have published the article Implementing an Environment for Hybrid Software Evaluation in the journal Science of Computer Programming.
This paper presents the first technological environment for measuring and evaluating the analyzability of hybrid software. As quantum software gains ground and relevance in various domains, it is essential to address the evaluation of hybrid systems that combine classical and quantum elements to ensure diverse quality characteristics.
Thus, the environment proposed in this paper stablishes a model, metrics and tools applicable in the field of quantum software to assess its analyzability, one of the subcharacteristics of maintainability defined in ISO/IEC 25000.
Furthermore, real-world examples of hybrid software are provided to showcase the functionality of the different tools in the environment, yielding readable and representative results for the evaluator.
Our colleagues Javier Verdugo, Jesús Oviedo, Moisés Rodríguez and Mario Piattini have published the article Connecting research and practice for software product quality evaluation and certification: a software laboratory's 25-year journey in the Volume: 41 Issue: 3 May-June-2024 of the IEEE Software journal, in which they present the trajectory of AQCLab, a laboratory for software quality evaluation, over 25 years, starting from the research work of the Alarcos Research Group.
The article details the challenges and difficulties involved in establishing the first accredited laboratory for software quality assessment based on the ISO/IEC 25000 family of international standards. Thus, AQCLab has meant the transfer of the research on software quality carried out over the years to the industry, allowing organisations that develop or acquire software to evaluate their products, and even obtain a certificate based on the results of these laboratory evaluations.
In addition to the challenges and lessons learned during this journey in software product evaluation and certification, the article provides details on the quality models used in the laboratory for the evaluation of Maintainability and Functional Suitability.
Our colleagues Ana Díaz, Moisés Rodríguez and Mario Piattini have published the article Towards a set of metrics for hybrid (quantum/classical) systems maintainability in volume 30(1) of JUCS - Journal of Universal Computer Science.
Given the rapid evolution that has taken place in recent years in the software industry, and along with it the emergence of quantum software, there is a need to design an environment for measuring quality metrics for hybrid, classic-quantum software. In order to measure and evaluate the quality of classic software, there are models and standards, among which ISO/IEC 25000 stands out, which proposes a set of quality characteristics such as maintainability. However, there is currently no consensus for the measurement and evaluation of quantum software quality.
In this paper series of adaptations to “classic” metrics, as well as a set of new measurements for hybrid maintainability is proposed. Additionally, a first prototype of a measurement tool developed as a SonarQube plugin, capable of measuring these metrics in quantum developments, is also presented.
Our scientific director, Mario Piattini, together with Ismael Caballero from DQTeam have edited the book "Data Governance: From the Fundamentals to Real Cases" published by Springer.
The book, aimed at academics, researchers and professionals involved in data governance (CIOs, Data Governors or Data Stewards), is divided into two parts:
Among the chapters of the book, written by different authors, there is a chapter on maturity models for data governance written by our colleagues from AQCLab and DQTeam Moisés Rodríguez and Fernando Gualo, together with the aforementioned Mario Piattini and Ismael Caballero. This chapter presents the best-known data governance maturity models, such as DAMA, DMM, DCAM or the Aiken, IBM, Gartner models, with special emphasis on the Alarcos Data Maturity Model (MAMD).
AQCLab has participated in the development of the new version 4.0 of the MAMD model (Alarcos Data Improvement Model), in collaboration with the Alarcos research group and DQTeam. This is a model that integrates the processes of data management, data quality management and data governance in a joint and coordinated way, so that any type of organization can evaluate and improve the capacity of its data related processes.
This model allows organizations not only to perform technological management of data infrastructures, but also to ensure that the design, management and exploitation of data is done in accordance with their organizational strategies (which implies data governance), and that the data used is suitable for the intended use (which implies data quality management).
The model is composed of a total of 22 processes grouped into 5 maturity levels, and it is aligned to the specifications UNE 0077, UNE 0078, UNE 0079 and UNE 0080 for governace, management, quality management and evaluation of data maturity. Based on it, companies can certify the maturity of their processes related to data quality, management and governance according to the scheme of the ISO/IEC 33000 family of standards. In addition, MAMD is also aligned with data quality evaluations based on ISO/IEC 25000, so that organizations that follow the model are in a position to obtain a certificate of data quality in their repositories.
You can request to download the model (in Spanish) though the form on the MAMD website.
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