الصفحة 1
الصفحة 1
Software Engineering Techniques : Design for Quality
The IFIP series publishes state-of-the-art results in the sciences and technologies of information and communication. The scope of the series includes: foundations of computer science; software theory and practice; education; computer applications in technology; communication systems; systems modeling and optimization; information systems; computers and society; computer systems technology; security and protection in information processing systems; artificial intelligence; and human-computer interaction. Proceedings and post-proceedings of referred international conferences in computer science and interdisciplinary fields are featured. These results often precede journal publication and represent the most current research. The principal aim of the IFIP series is to encourage education and the dissemination and exchange of information about all aspects of computing.
Project Management for Healthcare Informatics
Project Management for Healthcare Informatics provides an explanation of the project management process tailored for nurses through its use of real clinical examples. In the first chapters, the project management process will be described in detail along with its relationship to the phases of the project life cycle. The tools available to successfully complete each phase of the project management process and move along the project life cycle will be included. The rest of the book will be devoted to discussion on how to apply these principles in the day-to-day work of the nurse—whether manager, staff nurse, educator, researcher, or informatician. Case studies and project examples will comprise the majority of material in these chapters.
Metric Driven Design Verification : An Engineer's and Executive's Guide to First Pass Success
A metric based flow is described that focuses on the four steps of: 1. Planning: Defining what needs to be done and the automatically trackable metrics that will be used to measure progress. 2. Execution: Implementing verification environments and then extensively exercising the device under verification utilizing comprehensive, massively parallel regression strategies. 3. Measurement: Automatically capturing the metrics defined in planning to provide objective data with which to manage the verification project. Custom tailoring those metrics through an automated reporting framework to provide all stakeholders a real-time meaningful view of project status. 4. Response: Utilizing the returned metrics to effectively adapt to changing project conditions. Making use of automated response mechanisms to automate engineering processed and management response to streamline project management processes
