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Towards optimized systems requirements specifications (SRS): Multiple regressional statistics as catalyst — Work in progress

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2 Author(s)
Niyokwizerwa, J.C. ; Univ. Coll. of Technol. & Innovation, I.T. Manage., Staffordshire Univ., Kuala Lumpur, Malaysia ; Sabeeh, Z.A.

The proposed approach was based on predictive analytics technique that would be applied by Joint Application Development (JAD) session's planners to expedite and build an accurate systems requirement specification document. Relevant literature of analytical prediction as well as JAD best practices were synthesized and employed to build a use scenario which guided decisions in this paper. Applying predictive analytics driven by multiple regressional statistics in the requirements gathering process will hasten and augment probabilities of producing a more qualitative systems requirement specification rich with historical planning experience of JAD sessions. This approach is recommended to JAD session planners in order to mitigate the information overload from the early stages of systems development.

Published in:

Current Trends in Information Technology (CTIT), 2011 International Conference and Workshop on

Date of Conference:

26-27 Oct. 2011