Adopting the Supply Chain Operations Reference (SCOR) model, this study aims at
investigating the impact of big data (volume, velocity, variety, veracity, and value) on supply …

Big Data filed is an unsettled standard comparing with a traditional database, data mining, or
data warehouse. Stability measure aims to acquire the quality dataset which encourages to …

The various model that has been used to predict, datamining, and information retrieval are
useful to use through the traditional database, due to big data the prediction should derive in …

Cloud computing faces numerous challenges in many areas including security and privacy
issues. In this work, a developed approach is suggested to tackle three security and privacy …

Artificial Intelligence Augmented Software Development Life Cycle is a process for
developing software that incorporates AI techniques and technologies. One aspect of …

The API is a key player in cut edge technology for interact and exchange information across
platforms whatever internally or external where the transfer information needs to be adjusted …

Big data is facing many challenges in different aspects, which appear in characteristics such
as: Velocity, Volume, Value and Veracity. Processing and analysis of big data are …

Big data is term of dataset with characteristic volume, value and veracity that lead to
challenges unable proceed using traditional techniques to extract value, project …

Software failure prediction is an important activity during agile software development as it
can help managers to identify the failure modules. Thus, it can reduce the test time, cost and …

Big data is term of dataset with characteristic volume, value and veracity that lead to
confrontation unable proceed using traditional techniques to extract value, project …