Most of the techniques are prone to errors so the results
are unreliable. There is not the evidence of a single
requirements prioritization technique that would help in
solving the plight of projects where requirements grow in
hundreds or even in thousands. There is not a single
evidence of an efficient and cost effective prioritization
technique to prioritize requirements in an environment
where requirement dataset is medium / large and
volatility is high.
There is the need to prioritize the significant functional
requirements inline with business compliance. Most of
the techniques which are proposed are not providing
sufficient automation and are not intelligent due to which
the element of biasness is evident in most of the
techniques. Here we are going to propose an extension in
"Value based Intelligent Requirement Prioritization
(VIRP): Expert Driven Fuzzy Logic based Prioritization
Technique" [45]. The proposed extension will make the
technique more efficient. The said technique is comprised
of three steps i.e. "Requirement Elicitation and
Stakeholder Level Prioritization", "Expert Level
Prioritization" and "Fuzzy Logic Based Requirement
Prioritization" [45]. The first and last steps of the
technique are automated and the last step of the technique
is also made intelligent and free of biasness using Fuzzy
Logic but the second step "Expert Level Prioritization" is
not automated and intelligent one which consumes too
much time and is a manual process for calculation of
Requirement Value or RV. Following formula is used to
calculate RV manually: