Aurora Trinidad Ramirez Pozo

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The problem known as CAITO refers to the determination of an order to integrate and test modules that minimizes stubbing costs. Search based algorithms have been used, mainly evolutionary ones. However, the problem is very complex since it involves different factors associated to the stubbing process, such as complexity measures, contractual issues and so(More)
Dynamic networks require adaptive strategies for information dissemination, as the topology constantly changes. This work presents an event-based bio-inspired dissemination approach that employs ants, which correspond to mobile agents, to spread information throughout the network. An event is defined as a state transition of a node or link. A node which(More)
Reliability models are very useful to estimate the probability of the software fail along the time. Several different models have been proposed to estimate the reliability growth, however, none of them has proven to perform well considering different project characteristics. In this work, we explore genetic programming (GP) as an alternative approach to(More)
Knowledge discovery is the most desirable end product of an enterprise information system. Researches from different areas recognize that a new generation of intelligent tools for automated data mining is needed to deal with large databases. In this sense, induction based learning systems have emerged as a promising approach. This paper describes an(More)
Software reliability is one of the most important quality characteristics for almost all systems. The use of a software reliability model to estimate and predict the system reliability level is fundamental to ensure software quality. However, the selection of an appropriate model for a specific case can be very difficult for project managers. This is(More)