Evaluating Evolutionary Software Systems
作者： Teade Punter , Adam Trendowicz , Peter Kaiser
关键词: Software quality 、 Bayesian belief nets 、 Bayesian network 、 Computer science 、 Software engineering 、 Evolutionary algorithm 、 Software system 、 Software development 、 GQM 、 Coding (social sciences) 、 Systems engineering
摘要: Non-functional requirements (NFRs) of software-intensive systems that are under continuous evolution should be evaluated during early development phases in order to able improve those and achieve 'time-to-market'. However, current evaluations often done late stages, like coding testing. In this paper we propose an approach evaluate NFRs earlier. The for the use flexible reusable quality models, which can deal with little data, transparent measurement-based. Our approach, called Prometheus, is a way modeling cope requirements. Prometheus applies concept from SQUID probability Bayesian Belief Nets (BBNs) specification concepts Goal Question Metric (GQM) approach.
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