Special issue on quality management for information systems

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Special issue on quality management for information systems Mario Piattini 1 & Ignacio García-Rodríguez de Guzmán 1 & Ricardo Pérez-Castillo 1

# Springer Science+Business Media, LLC, part of Springer Nature 2020

1 Introduction to the special issue From the industry point of view, IS (Information Systems) Quality is much more than achieving adequate levels of quality in the systems of which company IS is composed. IS quality has become a strategic objective that directly impacts the success of all companies. However, since technologies and paradigms (both those supporting software and those that develop it) are in continuous evolution, quality methods and tools must also be updated. It is also crucial to (i) identify what the current trends and the most influential technologies are (such as big data and machine learning), and (ii) reconsider traditional processes (for example, software design, development and testing), aiming to reformulate mechanisms, and in doing so ensure quality and maintain the value these processes bring to business. This special issue is composed of 11 papers which present a realistic point of view of current research and practice, and provide the state of the art regarding the quality of IS engineering and maintenance. The first two papers focus their proposals on Service Quality. In “Using the IDEAL model for the Construction of a Deployment Framework of IT Service Desks at the Brazilian Federal Institutes of Education”, Cristiano Domingues da Silva and Alexandre Marcos Lins de Vasconcelos focus on the lack of IT support services in the Brazilian FIs (Federal Institutes of Education, Science and Technology). The paper proposes (i) a deployment/improvement approach, based on the IDEAL model, using practices from models such as ITIL, ISO 20000,

This article is part of the Topical Collection on Quality Management for Information Systems Guest Editor: Mario Piattini, Ignacio García Rodríguez de Guzmán, Ricardo Pérez del Castillo

* Ricardo Pérez-Castillo [email protected] Mario Piattini [email protected] Ignacio García-Rodríguez de Guzmán [email protected]

1

Institute of Technologies and Information Systems, University of Castilla-La Mancha, Paseo de Moledores, s/n, 13071 Ciudad Real, Spain

Software Quality Journal

CMMI-SVC and MR-MPS-SV; and (ii) a Process Toolbox that follows the seven-dimension structure of EPMF. In the second proposal entitled “Data-driven and Tool-supported Elicitation of Quality Requirements in Agile Companies”, Marc Oriol, Silverio Martínez-Fernández, Woubshet Behutiye, Carles Farré, Rafal Kozik, Pertti Seppänen, Anna Maria Vollmer, Pilar Rodríguez, Xavier Franch, Sanja Aaramaa, Antonin Abhervé, Michal Choras and Jari Partanen present an interesting industrial data-driven elicitation process to identify quality requirements from software development repositories in agile software developments. A Automated support enables practitioners to identify violations of existing quality-related issues, which is incorporated in the product backlog.