User-perceptions of embedded software reliability
ENCRESS '97 IFIP TC5 WG5.4 3rd internatinal conference on on Reliability, quality and safety of software-intensive systems
Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference
Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference
Managing Software Quality
Software Metrics for Product Assesment
Software Metrics for Product Assesment
Software Metrics: A Rigorous and Practical Approach
Software Metrics: A Rigorous and Practical Approach
The SQUID approach to defining a quality model
Software Quality Control
IEEE Software
A model of large program development
IBM Systems Journal
| Hi-index | 0.00 |
Non-functional requirements (NFRs) of software-intensive systems that are under continuous evolution should be evaluated during early development phases in order to be able to improve those systems and achieve 'time-to-market'. However, current evaluations are often done during late stages, like coding and testing. In this paper we propose an approach to evaluate NFRs earlier. The requirements for this approach are the use of flexible and reusable quality models, which can deal with little data, that are transparent and measurement-based. Our approach, called Prometheus, is a way of modeling NFRs that should cope with those requirements. Prometheus applies the quality modeling concept from the SQUID approach, the probability concept of Bayesian Belief Nets (BBNs) and the specification concepts of the Goal Question Metric (GQM) approach.