Modeling the requirements for big data application using goal oriented approach
Hanif Eridaputra, Bayu Hendradjaya, Wikan Danar Sunindyo · 2014
In this research, we propose generic requirement model for Big Data application. The model offer the use of i× Framework and Knowledge Acquisition automated System (KAOS), which are part of Goal Oriented Requirement Engineering (GORE). Big Data applications handle flood of data that occurs from anything such as climate data, genomes, even just software logs or facebook status. To build such applications demands gathering special requirements specific for Big Data. A generic requirement model is proposed using i× and KAOS model. The model is constructed from analyzing the requirements based on the characteristics of Big Data and its challenges. This generic model is then applied to a case study in an Indonesian's government agency for development planning of West Java (UPTB Pusdalisbang Jawa Barat). The result of this application has demonstrated that the model can be used to generate a valid software requirement specification.