Estimation for Large Product enhancements considers Enhancement Function point count and Productivity, however the productivity factors of Large Product maintenance differs from those of normal software development and maintenance because they are related to the complexity of current functionality (both in terms of domain and technical implementation), nature of the proposed changes, impact of the proposed change within and outside the domain/module, expertise of the team and many other factors. Therefore, the various characteristics that have an influence on software maintenance productivity should be refined.

The model put in practice builds a wrapper around the enhancement FP count by introducing “Enhancement Complexity factor (ECF)” that captures the inherent complexity of the product and protects the productivity, which is dependent on common variation such as standard team expertise and typical maintenance environment that are trite in any Product Organization. Using the model, we have achieved a significant improvement in the estimation accuracy by over 25%. The “Complexity factor” captured has helped us to baseline domain or module wise complexity, aiding us in tracking and reducing the complexity of the product over a period of time.

Naresh has 15 + years of experience and as a Delivery Manager his core responsibilities include Program Management of large product releases involving release planning, estimation, resourcing, scheduling, tracking, deployment, support and other activities. He has previously handled various roles in software industry namely Configuration Controller, Module Lead, Project Manager, Product Development Manager.
Naresh holds a Bachelor of Engineering in Electronics and Communication from MCE-Hassan, Mysore University. He is Certified as Estimation Specialist within Infosys Technologies Ltd and has participated and certified as VLDB expert.