Bayesian Analysis of Empirical Software Engineering Cost Models
IEEE Transactions on Software Engineering
Software Metrics: A Rigorous and Practical Approach
Software Metrics: A Rigorous and Practical Approach
Software Engineering Economics
Software Engineering Economics
Software Cost Estimation with Cocomo II with Cdrom
Software Cost Estimation with Cocomo II with Cdrom
Safe and Simple Software Cost Analysis
IEEE Software
Simple software cost analysis: safe or unsafe?
PROMISE '05 Proceedings of the 2005 workshop on Predictor models in software engineering
Feature subset selection can improve software cost estimation accuracy
PROMISE '05 Proceedings of the 2005 workshop on Predictor models in software engineering
Data Mining
Selecting Best Practices for Effort Estimation
IEEE Transactions on Software Engineering
The Strangest Thing About Software
Computer
Project Data Incorporating Qualitative Factors for Improved Software Defect Prediction
PROMISE '07 Proceedings of the Third International Workshop on Predictor Models in Software Engineering
The business case for automated software engineering
Proceedings of the twenty-second IEEE/ACM international conference on Automated software engineering
Comparing design and code metrics for software quality prediction
Proceedings of the 4th international workshop on Predictor models in software engineering
Implications of ceiling effects in defect predictors
Proceedings of the 4th international workshop on Predictor models in software engineering
Confidence in software cost estimation results based on MMRE and PRED
Proceedings of the 4th international workshop on Predictor models in software engineering
How to avoid drastic software process change (using stochastic stability)
ICSE '09 Proceedings of the 31st International Conference on Software Engineering
Accurate estimates without calibration?
ICSP'08 Proceedings of the Software process, 2008 international conference on Making globally distributed software development a success story
Case-based reasoning vs parametric models for software quality optimization
Proceedings of the 6th International Conference on Predictive Models in Software Engineering
A second look at Faster, Better, Cheaper
Innovations in Systems and Software Engineering
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"Faster, Better, Cheaper" (FBC) was a development philosophy adopted by the NASA administration in the mid to late 1990s. that lead to some some dramatic successes such as Mars Pathfinder as well as a number highly publicized mission failures, such as the Mars Climate Orbiter & Polar Lander. The general consensus on FBC was "Faster, Better, Cheaper? Pick any two". According to that view, is impossibly to optimize on all three criteria without compromising the third. This paper checks that view using an AI search tool called STAR. We show that FBC is indeed feasible and produces similar or better results when compared to other methods However, for FBC to work, there must be a balanced concern and concentration on the quality aspects of a project. If not, "FBC" becomes "CF" (cheaper and faster) with the inevitable lose in project quality.