F. J. Domínguez-Mayo

A quality management based on the Quality Model life cycle

Managing quality is a hard and expensive task that involves the execution and control of processes and techniques. For a good quality management, it is important to know the current state and the objective to be achieved. It is essential to take into account with a Quality Model that specifies the purposes of managing quality. QuEF (Quality Evaluation Framework) is a framework to manage quality in MDWE (Model-driven Web Engineering). This paper suggests managing quality but pointing out the Quality Model life cycle. The purpose is to converge toward a quality continuous improvement by means of reducing effort and time.

Quality evaluation for Model-Driven Web Engineering methodologies

Context: There are lots of approaches or methodologies in the Model-Driven Web Engineering (MDWE) context to develop Web Applications without reaching a consensus on the use of standards and scarcity of both, practical experience and tool support. Objective: Model-Driven Web Engineering (MDWE) methodologies are constantly evolving. Moreover, Quality is a very important factor to identify within a methodology as it defines processes, techniques and artifacts to develop Web Applications. For this reason, when analyzing a methodology, it is not only necessary to evaluate quality, but also to find out how to improve it. The main goal of this paper is to develop a set of Quality Characteristics and Sub-Characteristics for MDWE approaches based on ISO/IEC standards. Method: From the software products context, some widely standards proposed, such as ISO/IEC 9126 or ISO/IEC 25000, suggest a Quality Model for software products, although up to now, there are no standard methods to assess quality on MDWE methodologies. Such methodologies can be organized into Properties, thus, a methodology has artifacts, processes and techniques. Then, each item is evaluated through a set of appropriate Quality Characteristics, depending on its nature. This paper proposes to evaluate a methodology as a product itself. Results: This paper recommends a set of Quality Characteristics and Sub-Characteristics based on these standards in order to evaluate MDWE methodologies quality. Additionally, it defines an agile way to relate these Quality Sub-Characteristics to Properties with the sole purpose of not only analyzing, but also assessing and improving MDWE methodologies. Conclusions: The application of these Quality Characteristics and Sub-Characteristics could promote efficiency in methodologies since this kind of assessment enhances both the understanding of strengths and weaknesses of approaches.

A Strategic Study about Quality Characteristics in e-Health Systems Based on a Systematic Literature Review

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 peoples 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.

A Quality Model in a Quality Evaluation Framework for MDWE methodologies

Nowadays, diverse development methodologies exist in the field of Model-Driven Web Engineering (MDWE), each of which covers different levels of abstraction on Model-Driven Architecture (MDA): CIM, PIM, PSM and Code. Given the high number of methodologies available, it is necessary to evaluate the quality of existing methodologies and provide helpful information to the developers. Furthermore, proposals are constantly appearing and the need may arise not only to evaluate the quality but also to find out how it can be improved. In this context, QuEF (Quality Evaluation Framework) can be employed to assess the quality of MDWE methodologies. This article presents the work being carried out and describes tasks to define a Quality Model component for QuEF. This component would be responsible for providing the basis for specifying quality requirements with the purpose of evaluating quality.

QuEF (quality evaluation framework) for model-driven web methodologies

QuEF (Quality Evaluation Framework) is an environment for the assessment of Model-Driven Web Engineering (MDWE) methodologies. This approach is oriented towards the evaluation, through objectives measures, of the quality of MDWE methodologies in a specific environment. Given the high number of methodologies available and proposed over recent years, it has become necessary to define objective evaluation tools to enable organizations to improve their methodological environment and help designers of web methodologies to design new effective and efficient tools, processes and techniques. Since methodologies are constantly evolving, the need may arise not only to evaluate the quality but also to find out how it can be improved and how the quality improvement process could be optimized in order to reduce costs.

Quality Issues on Model-Driven Web Engineering Methodologies

Nowadays, there are several development methodologies in the field of model-driven web engineering (MDWE) which involve different levels of model-driven architecture (MDA): CIM, PIM, PSM, or code. Attending to the high number of available methodologies, development teams may feel lost when choosing the most suitable one for their projects. Furthermore, proposals usually appear and people feel necessary to evaluate their quality in order to select the appropriate methodology or even to find out the way to improve them. This chapter presents the current work carried out in this field and it is oriented toward the definition of a framework which enables an objective measurement of the proposals’ benefits.

Measuring the Quality of Model-Driven Projects with NDT-Quality

Model-driven web engineering (MDWE) is a new paradigm which provides satisfactory results in the development of web software systems. However, as can be concluded from several research works, MDWE provokes traceability problems and the necessity of managing constraints in metamodel instances and transformation executions. The management of these aspects is usually executed manually in the most of MDWE approaches. Nevertheless, model-driven paradigm itself can offer suitable ways to manage them. This chapter presents NDT-Quality, an approach to measure the quality of web projects developed with NDT (navigational development techniques), and offers a view about the application of this tool in real web projects.

A framework and tool to manage Cloud Computing service quality

Cloud Computing has generated considerable interest in both companies specialized in Information and Communication Technology and business context in general. The Sourcing Capability Maturity Model for service (e-SCM) is a capability model for offshore outsourcing services between clients and providers that offers appropriate strategies to enhance Cloud Computing implementation. It intends to achieve the required quality of service and develop an effective working relationship between clients and providers. Moreover, quality evaluation framework is a framework to control the quality of any product and/or process. It offers a tool support that can generate software artifacts to manage any type of product and service efficiently and effectively. Thus, the aim of this paper was to make this framework and tool support available to manage Cloud Computing service quality between clients and providers by means of e-SCM.

A Method Based on AHP to Define the Quality Model of QuEF

QuEF is a framework to analyze and evaluate the quality of approaches based on Model-Driven Web Engineering (MDWE). In this framework, the evaluation of an approach is calculated in terms of a set of information needs and a set of quality characteristics. The information needs are requirements demanded by users of approaches. On the other hand, the quality characteristics are specific aspects that the approaches provide to their users. In these lines, there is a gap in the importance of each quality characteristic in the QuEF and the degree of coverage of each information need regarding the quality characteristics. In this contribution, we propose a method to define the Quality Model within QuEF. This method is based on the Analytic Hierarchy Process in order to establish the importance of the quality characteristics and the degree of coverage of each requirement of the information needs regarding the set of quality characteristics. Furthermore, a software application that develops the proposed method is presented.

A Framework for the Quality Evaluation of MDWE Methodologies and Information Technology Infrastructures

Diverse development web methodologies currently exist in the field of Model-Driven Web Engineering MDWE, each of which covers different Levels of Abstraction on Model-Driven Architecture MDA: Computation Independent Model CIM, Platform Independent Model PIM, Platform Specific Model PSM, and Code. Given the high number of methodologies available, it has become necessary to define objective evaluation tools to enable development teams to improve their methodological environment and help designers of web methodologies design new effective and efficient tools, processes and techniques. Since proposals are constantly evolving, the need may arise not only to evaluate the quality but also to find out how it can be improved. This paper presents an approach named QuEF Quality Evaluation Framework oriented towards evaluating, through objectives measures, the quality of information technology infrastructure, mainly in MDWE methodology environments.