Timely knowledge sharing in disaster management (DM) is clearly vital, but it is remains
challenging. Roles involved in DM processes often cut across many organizational …

Develo** high quality, reliable and on time software systems is challenging due to the
increasing size and complexity of these systems. Traditional software development …

The use of Machine Learning (ML) classifiers to predict defective software modules are
useful to help on planning software testing activities. Most of those studies use the accuracy …

Featured Application The technique uses Machine Learning (ML) models to support
decision-making on software testing scope and resource allocation to augment the …

Software reuse is the use of already existing concepts, objects or software components to
build new software. The goal of software reuse research is to explore systematic procedures …

Context There is a debate in the aerospace industry whether lessons from reuse successes
and failures in nonembedded software can be applied to embedded software. Reuse …

There is a debate in the aerospace industry whether lessons from reuse successes and
failures in nonembedded software can be applied to embedded software. This chapter …

Business Intelligence as a platform is of great assistance to software engineers for analyzing
and amassing data to search for information through queries. Object oriented business …

Software reuse has been widely practiced in industries with or without clear identification of
reuse. In order for reuse to occur, software developers must not only reuse good quality …

Con el objeto de profundizar los conocimientos acerca de las estrategias de desarrollo
territorial basadas en la formación de clusters tecnológicos, en la presente tesis se lleva a …