A Model of Reusable Assets in AIE Software Systems

• Agustina Buccella ^[1] ; Alejandra Cechich ^[1] ; Carolina Villegas ^[1] ; Ayelén Montenegro ^[2] ; Angel Muñoz ^[2] ; Andrea Rodriguez ^[2]
  1. [1] Universidad Nacional del Comahue

     Universidad Nacional del Comahue

     Argentina

     
  2. [2] Instituto Nacional de Tecnología Agropecuaria

     Instituto Nacional de Tecnología Agropecuaria

     Argentina

     
• Localización: Journal of Computer Science and Technology, ISSN-e 1666-6038, Vol. 23, Nº. 2, 2023
• Idioma: inglés
• DOI: 10.24215/16666038.23.e13
• Títulos paralelos:
  • Un Modelo de Activos Reusables dentro de la Ingeniería de Sistemas de Inteligencia Artificial
• Enlaces
  • Texto completo
• Resumen
  • español

    Hoy en día, debido a la creciente presencia de la inteligencia artificial en los sistemas de software, los equipos de desarrollo enfrentan el desafío de trabajar juntos para integrar tareas, recursos y roles en un nuevo campo, denominado Ingeniería de IA. Las propuestas, en forma de modelos, destacan la necesidad de integrar dos perspectivas diferentes: el software y los sistemas de apoyo a la toma de decisiones (big data, aprendizaje automático, etc.). Pero hay algo más: ambos sistemas deben alcanzar altos niveles de calidad para diferentes propiedades; y esto no es una tarea sencilla. Las propiedades de calidad, como la reutilización, tradicionalmente evaluadas y reforzadas a través del modelado en los sistemas de software, no se aplican exactamente de manera similar en los sistemas de apoyo a la toma de decisiones. En este artículo, proponemos un modelo para administrar activos re-utilizables en sistemas de ingeniería de IA al vincular el modelado de líneas de productos de software y la identificación de variedades en sistemas de análisis de datos. La propuesta se ejemplifica a través de un estudio de caso en el dominio agrícola.

  • English

    Nowadays, due to the increasing presence of artificial intelligence in software systems, development teams face the challenge of working together to integrate tasks, resources, and roles in a new field, named AI Engineering. Proposals, in the way of models, highlight the needs of integrating two different perspectives – the software and the decision-making support (big data, machine learning, and so on) systems. But there is something more – both systems must achieve high quality levels for different properties; and this is not a straightforward task. Quality properties, such as reusability, traditionally evaluated and reinforced through modeling in software systems, do not exactly apply similarly in decision-making support systems. In this paper, we propose a model for managing reusable assets in AI engineered systems by linking software product line modeling and variety identification. The proposal is exemplified through a case study in the agriculture domain.

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