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Full-Text Articles in Physical Sciences and Mathematics
Eef-Cas: An Effort Estimation Framework With Customizable Attribute Selection, Katarina Grolinger, Besa Muslimi, Miriam Capretz, Mark Benko
Eef-Cas: An Effort Estimation Framework With Customizable Attribute Selection, Katarina Grolinger, Besa Muslimi, Miriam Capretz, Mark Benko
Katarina Grolinger
Existing estimation frameworks generally provide one-size-fits-all solutions that fail to produce accurate estimates in most environments. Research has shown that the accomplishment of accurate effort estimates is a long-term process that, above all, requires the extensive collection of effort estimation data by each organization. Collected data is generally characterized by a set of attributes that are believed to affect the development effort. The attributes that most affect development effort vary widely depending on the type of product being developed and the environment in which it is being developed. Thus, any new estimation framework must offer the flexibility of customizable attribute …
Knowledge As A Service Framework For Disaster Data Management, Katarina Grolinger, Emna Mezghani, Miriam Capretz, Ernesto Exposito
Knowledge As A Service Framework For Disaster Data Management, Katarina Grolinger, Emna Mezghani, Miriam Capretz, Ernesto Exposito
Katarina Grolinger
Each year, a number of natural disasters strike across the globe, killing hundreds and causing billions of dollars in property and infrastructure damage. Minimizing the impact of disasters is imperative in today’s society. As the capabilities of software and hardware evolve, so does the role of information and communication technology in disaster mitigation, preparation, response, and recovery. A large quantity of disaster-related data is available, including response plans, records of previous incidents, simulation data, social media data, and Web sites. However, current data management solutions offer few or no integration capabilities. Moreover, recent advances in cloud computing, big data, and …