Browsing by Research Group "Ingeniería del software y sistemas"
Now showing items 1-20 of 102
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Advantages of Arrowhead Framework for the Machine Tooling Industry
(IEEE, 2020)Immersed in the digital era and fully experiencing the changes introduced by the new industrial revolution of the so-called Industry 4.0, there are still many aspects of industrial digitization to resolve. Interoperability ... -
An experience in the implementation of the flipped classroom instructional model in the computer science degree
(Wiley, 2023)In recent years, education has undergone a profound transformation process, having gone from relying only on the traditional lecture to making full use of digital formats. This gradual process, accelerated by the COVID-19 ... -
Analysis of technological architectures for the new paradigm of the industry 4.0
(DYNA Publishing, 2019)The present work defines an interoperable and scalable architecture that will allow the servitization of the machine tool sector. ICT and the Internet of Things make possible to interconnect different devices and controllers, ... -
Analysis of the magneto-thermo-dynamic behaviour of magnetorheological elastomers
(Mondragon Unibertsitatea. Goi Eskola Politeknikoa, 2017)Azken hamarkadetan, bibrazioen aurkako aplikazioen helburu nagusia osagaien bizitza erabilgarria, erosotasuna eta segurtasuna areagotzea izan da. Hala ere, gaur egungo aplikazioek lan-baldintza aldakorretara moldatzeko ... -
Architecture for managing AAS-based business processes
(Elsevier, 2023)Industries frequently encounter the need to orchestrate services provided by devices as business processes. These industrial business process models need to meet Industry 4.0 (I4.0) specifications to handle unpredictable ... -
Automatic Web Navigation Problem Detection Based on Client-Side Interaction Data
(Korea Information Processing Society-Computer Software Research Group, 2021)The current importance of digital competence makes it essential to enable people with disabilities to use digital devices and applications and to automatically adapt site interactions to their needs. Although most of the ... -
Automating Test Oracle Generation in DevOps for Industrial Elevators
(IEEE, 2022)Orona is a world-renowned elevators developer. During elevators' lives, their software continues to evolve, e.g., due to hardware obsolescence, requirements changes, vulnerabilities, and bug corrections. Such continuous ... -
BEAUD: A Browser Extension to Automatize End-User Deeds
(Elsevier, 2023)Web Augmentation allows anyone, computer-literate or not, to adapt the content, style or behavior of any web page. Searching for information is not always an undemanding task. The information searches carried out by users ... -
A Big Data implementation of the MANTIS Reference Architecture for Predictive Maintenance
(Sage Journals, 2019) -
Big Data Life Cycle in Shop-floor. Trends and Challenges
(IEEE, 2023)Big data is defined as a large set of data that could be structured or unstructured. In manufacturing shop-floor, big data incorporates data collected at every stage of the production process. This includes data from ... -
Bridging the Gap Between IDS and Industry 4.0 – Lessons Learned and Recommendations for the Future
(International Data Spaces Association, 2024) -
A case study on the use of machine learning techniques for supporting technology watch
(Elsevier, 2018)Technology Watch human agents have to read many documents in order to manually categorize and dispatch them to the correct expert, that will later add valued information to each document. In this two step process, the first ... -
Collective experience of application of an inverted classroom in the computer science degree program
(SEFI, 2021)In the last years, higher education is immersed in the transformation of the teaching experience with the aim of involving students more, as well as motivating them. Nowadays, students are very familiarized with new ... -
A Configurable Validation Environment for Refactored Embedded Software : an Application to the Vertical Transport Domain
(IEEE, 2017)As systems evolve, their embedded software needs constantly to be refactored. Moreover, given the different needs of different customers, embedded systems require to be customizable. The variability of these systems is ... -
Context-aware workflow management for smart manufacturing: A literature review of semantic web-based approaches
(Elsevier, 2023)Smart Manufacturing Systems (SMS) are software systems that identify opportunities for automating manufacturing operations by using Internet of Things (IoT) devices and services connected to machines. An active challenge ... -
Context-awareness for the design of Smart-product service systems: Literature review
(Elsevier, 2022)Smart-Product Service Systems (S-PSS) emerge as a novel strategy to integrate smart products with advanced digital capabilities and their related e-services to satisfy user’s needs in highly context-dependent environments. ... -
CRESCO Framework and Checker: Automatic Generation of Reflective UML State Machine's C++ Code and Checker
(IEEE, 2020)Software Systems are becoming increasingly complex leading to new Validation & Verification challenges. Model checking and testing techniques are used at development time while runtime verification aims to verify that a ... -
DABGEO: a Reusable and Usable Global Energy Ontology for the Energy Domain
(Elsevier B.V.Ontology usability, 2020)The heterogeneity of energy ontologies hinders the interoperability between ontology-based energymanagement applications to perform a large-scale energy management. Thus, there is the need fora global ontology that provides ... -
Data Sovereignty - Requirements Analysis of Manufacturing Use Cases
(International Data Spaces Association, 2022)The increasing digitization in the manufacturing industry within and between production companies raises the question of secure and interoperable data sharing between companies in virtual enterprises or between enterprises ... -
Data Sovereignty for AI Pipelines: Lessons Learned from an Industrial Project at Mondragon Corporation
(ACM, 2022)The establishment of collaborative AI pipelines, in which multiple organizations share their data and models, is often complicated by lengthy data governance processes and legal clarifications. Data sovereignty solutions, ...
