Reverse engineering in software requirements in web applications using a LEL

This document explores and describes the state of the art of Reverse Engineering in the specification of Software Requirements for web applications using an LEL (Language Extended Lexicon). A review of the scientific literature on this topic was carried out with the aim of investigating how the application of Reverse Engineering in the specification of software requirements would improve their quality, with the support of the creation of a tool for web augmentation, that is, a web extension that allows creating a glossary of terms or LEL of web applications, this with the purpose of knowing their operation for maintenance and improvement purposes.Facultad de Informátic

Reverse Object Oriented Design Methodology (R-OODM)

Software design plays a vital role in better understanding of the software system and its architecture. It also provides help throughout the software development life cycle and afterwards in its maintenance as well. Web applications have been emerging enormously and subjected to continuous changes due to high competition in the market. But unfortunately, most of the web applications are implemented without producing any formal design documentation for its subsequent maintenance and evolution. Therefore, the maintenance of these applications becomes a challenging problem as the complexity of the web application grows. The reverse engineering techniques has been used to support effective web application maintenance. We have proposed a Reverse Object Oriented Design Methodology (R-OODM) that extracts the design of web application using design phase models of OODM [1][15], based upon water fall model. A tool has also been developed for implementation of this reverse object oriented design methodology

Decisioning 2022 : Collaboration in knowledge discovery and decision making: Applications to sustainable agriculture

Sustainable agriculture is one of the Sustainable Development Goals (SDG) proposed by UN (United Nations), but little systematic work on Knowledge Discovery and Decision Making has been applied to it. Knowledge discovery and decision making are becoming active research areas in the last years. The era of FAIR (Findable, Accessible, Interoperable, Reusable) data science, in which linked data with a high degree of variety and different degrees of veracity can be easily correlated and put in perspective to have an empirical and scientific perception of best practices in sustainable agricultural domain. This requires combining multiple methods such as elicitation, specification, validation, technologies from semantic web, information retrieval, formal concept analysis, collaborative work, semantic interoperability, ontological matching, specification, smart contracts, and multiple decision making. Decisioning 2022 is the first workshop on Collaboration in knowledge discovery and decision making: Applications to sustainable agriculture. It has been organized by six research teams from France, Argentina, Colombia and Chile, to explore the current frontier of knowledge and applications in different areas related to knowledge discovery and decision making. The format of this workshop aims at the discussion and knowledge exchange between the academy and industry members.Laboratorio de Investigación y Formación en Informática Avanzad