Below is a list of submissions received by the journal Ciencia y Tecnología that have been approved and are currently pending issue assignment.

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Educational Robot Developed by Students and Teachers of E.E.T. No. 2 “Independencia” of Concordia, E. R. Computer Science Specialty
Ibar Federico Anderson

Thematic field: Robotics.
Abstract: Robot-T2 is the fantasy name given to a didactic robot designed for pedagogical and educational purposes in mechatronics, built by students and teachers of Technical School No. 2 “Independencia” (Concordia, Entre Ríos). It participated in the National Innovation Contest –INNOVAR 2022– organized by the National Ministry of Science and Technology, where it was selected for exhibition at the stand. Furthermore, it was also included in the official catalog of MINCYT-Nation. This study presents the design, construction, and evaluation of the mobile robot, whose main goal was to explore its efficiency and adaptability in different educational tasks. Iterative design methodologies and empirical testing were employed to enhance its performance in diverse environments and situations.
Keywords: robot; education; technical school: pedagogy; mechatronics.

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Implementation of Agile and DevOps: Strategies and Best Practices
Noelia Cruz

Thematic field: Information Technologies.
Abstract: In the last decade, the combined adoption of Agile methodologies and DevOps has become a strategic imperative for technology organizations. This article synthesizes key findings from an 18-month research project analyzing 42 implementations across different sectors, proposing the ADMM Maturity Model as a reference framework. The results show significant operational transformations: a 1500% increase in deployment frequency (from 2 to 30 per day); a 99% reduction in lead time (from 14 days to 2 hours); and a decrease in production errors (from 38% to 3%). The methodology combined: (1) Quantitative analysis of 58 technical metrics (Cronbach’s α=0.89); (2) Qualitative study through interviews with technical leaders. Three critical pillars were identified: (1) Cultural factors (50% effort): collaboration and continuous learning; (2) Processes (30%): data-driven standardization; (3) Tools (20%): intelligent automation. The study reveals a significant correlation (p<0.05) between cultural maturity (r=0.79) and implementation success. Practical cases and a structured, phased guide with key indicators are presented. Emerging trends include: AI integration into CI/CD; Value Stream Management; and models for regulated environments.
Keywords: Agile; DevOps; organizational transformation; software engineering; continuous delivery.

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Chronicle of the Application of the Ethnographic Approach in a Software Requirements Engineering Process
Luciana Terreni

Thematic field: Computer Science / Information Technology.
Abstract: This paper presents an experience in requirements determination for software projects from an ethnographic perspective, and their subsequent specification using UML (Unified Modeling Language) use cases, within the framework of the course Professional Practice II of the Technical Degree in Software Analysis and Development. The objective is for students to approach elicitation, specification, and validation processes of requirements through a project involving an external entity, using an agile software development methodology, thus strengthening and developing both specific and generic competences of future IT professionals.
Keywords: requirements engineering; ethnography; higher education; PBL.

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Incorporating Machine Learning into the Selection of Event Patterns for Smart Contract Modeling
Oscar Carlos Medina, Brenda Elizabeth Meloni, Ana María Stru, and Marelo Martín Marciszack

Thematic field: Computer Science.
Abstract: Event patterns are used to model the interactions between smart contracts and their environment, thereby enhancing the efficiency, security, and flexibility of blockchain-based applications. Event-pattern-based modeling of smart contracts is an emerging trend. Defining a new pattern, or selecting an existing one from a given catalog, is fundamental for any analysis model that relies on event patterns. This study presents a proposal for managing an event pattern catalog applicable to the conceptual modeling of smart contracts and incorporates machine learning techniques to optimize pattern selection. To evaluate this proposal, a prototype application named PatCat (Pattern Catalog) was developed, using as a case study a decentralized electronic voting application. Incorporating patterns at the beginning of the modeling process simplifies and clarifies requirements elicitation, among other advantages, while the use of machine learning accelerates problem description. Consequently, a specialized application for managing an event pattern catalog, supported by machine learning techniques, proves useful in standardizing and optimizing smart contract modeling tasks.
Keywords: Machine Learning; smart contract; Blockchain; Artificial Intelligence.

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Cutting-Edge Migration Control: The Importance of Implementing Biometric Technology to Address Irregular Migration in Peru
Edison Rosas Ore

Thematic field: Information Technologies.
Abstract: This research aims to describe the importance of implementing biometric technology to address irregular migration in Peru. The research methodology was based on a qualitative approach, classified as basic because it seeks to generate new knowledge; descriptive, non-experimental, and cross-sectional, with a sample of 8 police officers from the Immigration Division. Data collection was carried out through a focus group. The results of this study reveal the deficient migration control procedures, the lack of compliance by authorities, and, above all, the absence of innovation in migration control processes. The study concludes that there is a clear need to develop a system integrating biometric technologies in order to adequately register and control migrants in irregular situations in Peru.
Keywords: migration control; irregular migration; border security; biometric technology.

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Social Technologies and Decision-Making: Structuring Problems for the Selection of Alternatives in Value Chains of Socio-Productive Projects
Jeremías Juan Ispizua and Luciana Tabone

Thematic field: Industrial Processes.
Abstract: This paper presents a case study focused on analyzing and solving a complex decision-making problem within the framework of a social technology project for stove manufacturing. The objective is to structure the decision-making process in a systematic, consistent, and participatory way, to select the most suitable design among three stove models: the one currently in use and two alternative prototypes developed based on suggestions from different links in the local value chain. The Analytic Hierarchy Process (AHP) multicriteria decision methodology was applied to select the best alternative according to the most relevant identified criteria and subcriteria. Information gathering was carried out jointly with the various stakeholders, using structured surveys directed at users and open interviews with other actors. The most important criteria were cost, performance, and distribution/installation, with stove A1 achieving the highest overall priority. It is concluded that the selected product adds value both by improving performance, production process efficiency, and logistics, as well as by enhancing the potential for transfer to other sectors of civil society and R&D institutions.
Keywords: decision-making; social technologies; value chain; analytic hierarchy process.