Web engineering is a new research line in software engineering that covers the definition of processes, techniques, and models suitable for Web environments in order to guarantee the quality of results. The research community is working in this area and, as a very recent line, they are assuming the Model-Driven paradigm to support and solve some classic problems detected in Web developments. However, there is a lack in Web requirements treatment. This paper presents a general vision of Navigational Development Techniques (NDT), which is an approach to deal with requirements in Web systems. It is based on conclusions obtained in several comparative studies and it tries to fill some gaps detected by the research community. This paper presents its scope, its most important contributions, and offers a global vision of its associated tool: NDT-Tool. Furthermore, it analyzes how Web Engineering can be applied in the enterprise environment. NDT is being applied in real projects and has been adopted by several companies as a requirements methodology. The approach offers a Web requirements solution based on a Model-Driven paradigm that follows the most accepted tendencies by Web engineering.
Despite the fact that the test phase is described in the literature as one of the most relevant for quality assurance in software projects, this test phase is not usually developed, among others, with enough resources, time or suitable techniques.To offer solutions which supply the test phase, with appropriate tools for the automation of tests generation, or even, for their self-execution, could become a suitable way to improve this phase and reduce the cost constraints in real projects.This paper focuses on answering a concrete research question: is it possible to generate test cases from functional requirements described in an informal way? For this aim, it presents an overview of a set of relevant approaches that works in this field and offers a set of comparative analysis to determine which the state of the art is.
e-Health Systems quality management is an expensive and hard process that entails performing several tasks such as analysis, evaluation, and quality control. Furthermore, the development of an e-Health System involves great responsibility since people's health and quality of life depend on the system and services offered. The focus of the following study is to identify the gap in Quality Characteristics for e-Health Systems, by detecting not only which are the most studied, but also which are the most used Quality Characteristics these Systems include. A strategic study is driven in this paper by a Systematic Literature Review so as to identify Quality Characteristics in e-Health. Such study makes information and communication technology organizations reflect and act strategically to manage quality in e-Health Systems efficiently and effectively. As a result, this paper proposes the bases of a Quality Model and focuses on a set of Quality Characteristics to enable e-Health Systems quality management. Thus, we can conclude that this paper contributes to implementing knowledge with regard to the mission and view of e-Health (Systems) quality management and helps understand how current researches evaluate quality in e-Health Systems.
Navigational Development Techniques (NDT) is a Model-driven framework focused on defining Web requirements and obtaining related artefacts from them by means of transformations. Testing is one of the key elements in a software development process, however NDT neither include models to define artefacts nor transformations to obtain them from requirements. This paper presents how NDT improves with new models and transformations in order to generate test cases.
Short-term control of energy storage systems (ESS) aims to find the optimal control action for the next time step in a demand management system. Several optimization models and solution strategies are presented in literature for accomplishing this task. However, there is no framework available, which enables prototyping and flexible definition of optimization problems according to changing conditions and constellation of components in real time applications and that is deployable in different embedded systems. The present work analyses the requirements imposed by the EU project Storage4Grid (S4G) and uses them as a basis for the design of an optimization framework to combine data from various sources and offer a flexible optimization-setting environment. The architecture includes modules for management and signal processing of sensor data, linking of predictive algorithms to deliver inputs to the optimization model, optimization modeling, linking of a solver, an optimization controller and a post-processer module for formatting the results or creating events. The framework is tested on three scenarios of a deterministic optimization problem and its output interface was linked to an open source power flow simulator OpenDSS to validate the results.
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