Stakeholder´s analysis in e-learning software process development

The success of an e-learning project depends largely on the quality of applications and tools used to support the learning process. Meanwhile, the quality of software depends largely on proper stakeholders? identification in the requirements stage during the development process. Although some studies exist which have identified key stakeholders in e-learning domain, most of them do not perform a deep analysis of the stakeholders and their contexts, necessary to consider educational and cultural issues in this type of environment. The aim of this paper is to present the application of a method for the identification and analysis of stakeholders, which is adapted to e-learning domain. This method was used in a case study considering university environments.Fil: Romero, Lucila J.. Universidad Nacional del Litoral. Facultad de Ingeniería y Ciencias Hídricas; ArgentinaFil: Ballejos, Luciana Cristina. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Centro de Investigación y Desarrollo de Ingeniería en Sistemas de Información; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Gutierrez, Maria de Los Milagros. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Centro de Investigación y Desarrollo de Ingeniería en Sistemas de Información; ArgentinaFil: Caliusco, Maria Laura. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Centro de Investigación y Desarrollo de Ingeniería en Sistemas de Información; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe; Argentin

Modeling stakeholders for information systems design processes

In the software engineering area, stakeholders play a significant role in requirements elicitation and validation. Moreover, all the project management is integrally affected by stakeholders' perspectives and their participation. This effect is strengthened when projects involve several organizations. Thus, a clear and explicit representation of the stakeholders and their attributes is required in order to achieve their effective management. The integration of this representation with other models capturing the knowledge of engineering design processes can be of great utility in software development projects. In this sense, this article describes the construction of an integrated model for representing stakeholders in information systems design processes. This proposal considers diverse attributes related to stakeholders and gives information for performing quantitative calculations about their interest and influence over the project. Thus, more inclusive experiences of the information systems development can be supported, even more if contexts with the participation of several organizations are considered.Fil: Ballejos, Luciana Cristina. Universidad Tecnológica Nacional; ArgentinaFil: Montagna, Jorge Marcelo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; Argentin

Method for stakeholder identification in interorganizational environments

Stakeholders are the first emerging challenge in any software project. Their identification is a critical task for success. Nevertheless, many authors consider them as a default product of a non-explained identification process. Several aspects must be considered when the project is carried out in environments where multiple organizations interact. These complex contexts demand extremely hard efforts. Stakeholders must be identified taking into account their attributes (types, roles), which must be extended and defined for these environments. In general, there are no methodologies that allow performing this task in a systematic way for the development of interorganizational information systems. The paper proposes a method for carrying out stakeholder identification considering the diverse dimensions involved in interorganizational environments: organizational, interorganizational and external. It allows the systematic specification of all the people, groups and organizations whose interests and needs can affect or are affected by the interorganizational system. Also diverse stakeholders' attributes such as types, roles, influence and interest are defined, analyzed, and included in the method. They are all important in later stages of any software project.Fil: Ballejos, Luciana Cristina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; ArgentinaFil: Montagna, Jorge Marcelo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; Argentin

Seizing Requirements Engineering Issues through Supervised Learning Techniques

In recent years, the popularity of machine learning techniques has grown due to the availability of larges volumes of data and the increased processing capacity of computers. Despite the inherent value of these techniques, few studies have attempted to summarize how machine learning algorithms, especially supervised learning have contributed to task automation and resolving challenges in Requirements Engineering. This paper proposes a systematic mapping of the literature to identify and analyze proposals which employ supervised learning in Requirements Engineering between 2002-2018. The goal of this research is to identify trends, datasets, and methods used. Thirty-three studies were selected based on defined inclusion and exclusion criteria. The results show that researches using these techniques focuses on eight broad categories: detection of linguistic problems in requirements documents and artifacts written in natural language, classification of document content, traceability, effort estimation, requirements analysis, failures prediction, quality and detection of business rules. The most used supervised learning algorithms were Support Vector Machine, Naive Bayes, Decision Tree, K-Nearest Neighbour, and Random Forest. Twenty-five public and twenty -eight private data sources were identified. Among the most used public data sources are Predictor Models in Software Engineering, iTrust Electronic Health Care System and Metric Data Program from NASA.Fil: Gramajo, María Guadalupe. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe; Argentina. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Centro de Investigación y Desarrollo de Ingeniería en Sistemas de Información; ArgentinaFil: Ballejos, Luciana Cristina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe; Argentina. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Centro de Investigación y Desarrollo de Ingeniería en Sistemas de Información; ArgentinaFil: Ale, Mariel Alejandra. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Centro de Investigación y Desarrollo de Ingeniería en Sistemas de Información; Argentin

A Stakeholder Model for Interorganizational Information Systems

Stakeholders constitute the principal source of requirements in the development of information systems. They therefore must be considered allover the process. In order to achieve success, they must be also modelled and then integrated with requirements, design and implementation models. Thus, a more complete perspective is added to traditional modelling. This work presents and describes a stakeholder model for interorganizational information systems, in order to incorporate a stakeholders-including approach to traditional modelling, focusing on interorganizational environments.Fil: Ballejos, Luciana Cristina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; ArgentinaFil: Montagna, Jorge Marcelo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; ArgentinaFil: Gonnet, Silvio Miguel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; Argentin

Analyzing Requirements Engineering for Cloud Computing

Cloud computing is a business paradigm, where cloud providers offer resources (e.g., storage, computing, network) and cloud consumers use them after accepting a specific service level agreement. Cloud requirements can rapidly change over time, so organizations need to count with rapid methods to elicit, analyze, specify, verify, and manage dynamic requirements in a systematic and repeatable way. The existing works of this field are generally focused in a limited number of requirements and capabilities for cloud services. This chapter aims to provide a comprehensive and systematic literature review of academic researches done in requirements engineering for cloud computing area. During this study, some approaches for cloud computing were found that considered a limited number of characteristics (e.g., security, privacy, performance) and few activities involving diverse stakeholders. Generally, cloud stakeholders have got neither guidelines nor standards to manage multiple aspects of services in cloud environments. Thus, a literature review was first conducted and five dimensions are discussed (i.e., Contractual, Compliance, Financial, Operational, and Technical) in order to classify cloud characteristics, specify requirements, and support cloud contracts. Different specialists and experts may be requested to evaluate particular dimensions in the service level agreement and cloud service adoption. Finally, a simple sample is given to illustrate how to identify the cloud dimensions.Fil: Zalazar, Ana Sofia. Universidad Tecnológica Nacional. Facultad Regional Tucumán. Centro de Investigación en Tecnologías Avanzadas de Tucumán; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tucumán; ArgentinaFil: Ballejos, Luciana Cristina. Universidad Tecnológica Nacional. Facultad Regional Santa Fe; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; ArgentinaFil: Rodriguez, Sebastian Alberto. Universidad Tecnológica Nacional. Facultad Regional Tucumán. Centro de Investigación en Tecnologías Avanzadas de Tucumán; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tucumán; Argentin

Cloud Dimensions for Requirements Specification

Cloud computing is a business paradigm that changes the way to eval- uate information systems and computing resources. Cloud requirements can rapidly change and new service capabilities are often requested in order to adapt to new business scenarios. The existing works are generally focused in a limited number of requirements and capabilities. The aim of this contribution is to understand the multifaceted components of a service and to give guidelines towards requirements engineering for cloud computing. Thus, cloud services are analyzed by different aspects called dimensions and five dimensions are proposed (i.e., Contractual, Financial, Compliance, Operation, and Technical). Cloud dimensions are graphi- cally presented in conceptual models, because each dimension has specific entities, properties, and relationships. Different specialists and experts may be requested to evaluate particular dimensions in the service level agreement and cloud service adoption, and this approach can guide those activities, support requirements specification, and guide system analysis for cloud computing.Fil: Zalazar, Ana Sofia. Universidad Tecnológica Nacional. Facultad Regional Tucumán. Centro de Investigación en Tecnologías Avanzadas de Tucumán; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tucumán; ArgentinaFil: Ballejos, Luciana Cristina. Universidad Tecnológica Nacional. Facultad Regional Santa Fe; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; ArgentinaFil: Rodriguez, Sebastian Alberto. Universidad Tecnológica Nacional. Facultad Regional Tucumán. Centro de Investigación en Tecnologías Avanzadas de Tucumán; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tucumán; Argentin

Stakeholder´s analysis in e-learning software process development

The success of an e-learning project depends largely on the quality of applications and tools used to support the learning process. Meanwhile, the quality of software depends largely on proper stakeholders? identification in the requirements stage during the development process. Although some studies exist which have identified key stakeholders in e-learning domain, most of them do not perform a deep analysis of the stakeholders and their contexts, necessary to consider educational and cultural issues in this type of environment. The aim of this paper is to present the application of a method for the identification and analysis of stakeholders, which is adapted to e-learning domain. This method was used in a case study considering university environments.Fil: Romero, Lucila J.. Universidad Nacional del Litoral. Facultad de Ingeniería y Ciencias Hídricas; ArgentinaFil: Ballejos, Luciana Cristina. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Centro de Investigación y Desarrollo de Ingeniería en Sistemas de Información; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Gutierrez, Maria de Los Milagros. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Centro de Investigación y Desarrollo de Ingeniería en Sistemas de Información; ArgentinaFil: Caliusco, Maria Laura. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Centro de Investigación y Desarrollo de Ingeniería en Sistemas de Información; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe; Argentin