Paper Title
Analytics On Software Engineering

Application Lifecycle Management (ALM) is a Data intensive activity involving wide gamut of Meta data across the Application’s Life Cycle. The velocity, variety and volume of data being generated across the Application’s Life Cycle make this domain an ideal candidate for Big Data problem and are no exception from Analytics to play around these data. Though impact of Analytics on ALM could be greatly realized, not many of the organizations have stepped forward to adopt the analytical mechanism effectively due to technical challenges and hence the field of analytics has still remained at the naïve stage. The paper is a base to overcome technical challenges by filling the gap is the existing model and proposes USER-CENTRIC Analytical model for Data Collection and Derivation by reengineering the existing model of ALM activity using IBM Jazz Foundation Architecture.