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.