Examinando por Autor "Mazo, R"

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    10 Challenges for the Specification of Self-Adaptive Software
    (IEEE, 2018-01-01) Munoz-Fernandez, JC; Mazo, R; Salinesi, C; Tamura, G; Universidad EAFIT. Departamento de Ingeniería de Sistemas; I+D+I en Tecnologías de la Información y las Comunicaciones
    The demand for systems that continue on operation by adapting themselves in response to disturbing changes in their environment has increased in the last decades. Those systems, termed self-adaptive software (SAS) systems, should be developed with techniques and methods appropriated for analysing and designing this kind of systems, starting from the requirements phase. Several contributions propose approaches to improve the specification of requirements for those systems. This paper aims to review the most significant challenges still open in the domains of languages for requirements specification and methods for model verification of self-adaptive systems, independently of their particular application areas. More concretely, the main contribution of this paper is a list of ten challenges to achieve a better-defined specification of requirements for SAS systems, and a more effective verification of such specifications. These challenges are well worthy of being addressed in both communities, the requirements engineering (RE) and the SAS one.
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    APPLIES: a framework for evaluAting organization's motivation and Preparation for adoPting product LInEs
    (IEEE, 2018-01-01) Rincon, L; Mazo, R; Salinesi, C; Universidad EAFIT. Departamento de Ingeniería de Sistemas; I+D+I en Tecnologías de la Información y las Comunicaciones
    In the software industry, product Lines has emerged as an attractive approach to perform planned reuse. Nevertheless, a product line solution is not appropriate for all the cases and requires some conditions to be implemented successfully. The literature offers several contributions regarding the adoption of product lines. However, only a few of these support decision-makers for taking well-informed decisions in favor or against following this approach. This paper presents APPLIES, a framework to (i) detect signals that could motivate an organization to adopt a product line approach (ii) assess to what extent a company is prepared for supporting the practices necessary to adopt a product line. APPLIES is grounded in a thematic analysis of the literature and was preliminarily evaluated with two experts through a survey and an interview. The results of the evaluation provide us insights to create an improved version of the proposal following a design-science method.