CT: There are three major problems with software projects: over budget, behind schedule and poor quality. It is often too late to correct these problems by the time they are detected in failed software projects. In this paper, we discuss design, implementation, and evaluation of an experimental intelligent software early warning system based on fuzzy logic using an integrated set of software metrics. It consists of the following components: software metrics database, risk knowledge base, intelligent risk assessment, and risk tracing. It helps to assess risks associated with the three problems from perspectives of product, process, and organization in the early phases of the software development process. It is capable of aggregating various partial risk assessment results into an overall risk indicator even if they may be conflicting. In addition, it can be used to analyze a risk by identifying its root causes through its risk tracing utility.
S: http://www.sciencedirect.com/science/article/pii/S0164121206000239 (last access: 29 December 2014)
N: 1. Continuous monitoring system responsible for detecting potential, imminent and actual disasters and notifying the information needed to deal with the emergency situation, without delay, to the relevant responders.
2. In an intelligent transportation system, an early warning system centralizes reports from the monitoring systems to which it is connected (alerting and advisory systems, sensors and probes, field reports and emergency call-taking systems).
The disasters may be natural (floods, earthquakes, storms) or man-made (nuclear accident, hazardous material spill, terrorist attack).
S: 1 & 2. GDT (last access: 29 December 2014).