Software measurement: a visualization toolkit for project control and process improvement
Software measurement: a visualization toolkit for project control and process improvement
Calibrating the COCOMO II post-architecture model
Proceedings of the 20th international conference on Software engineering
Bayesian Analysis of Empirical Software Engineering Cost Models
IEEE Transactions on Software Engineering
Quantifying the Effects on Effort of Process Improvement
IEEE Software
Feature subset selection can improve software cost estimation accuracy
PROMISE '05 Proceedings of the 2005 workshop on Predictor models in software engineering
Cross versus Within-Company Cost Estimation Studies: A Systematic Review
IEEE Transactions on Software Engineering
Software Cost Estimation with COCOMO II
Software Cost Estimation with COCOMO II
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This Paper describes PhD software engineering work on "Impact of Process Improvement on Software Development Predictions, for Measuring Software Development Project's Performance Benefits". This research is being conducted in order to develop a model that could predict impact of CMMI Process Improvement on Performance Classes- Productivity Parameters such as (Effort, Cost, Schedule and Productivity) and to give mechanism/framework for generating reports on the perceived performance benefits of Software Performance classes. To assist software managers in performing cost benefits analysis for CMMI initiatives.