Software engineering metrics and models
Software engineering metrics and models
Evaluating Software Complexity Measures
IEEE Transactions on Software Engineering
On Weyuker's Axioms for Software Complexity Measures
IEEE Transactions on Software Engineering
Software project cost schedule estimating: best practices
Software project cost schedule estimating: best practices
Software Engineering Economics
Software Engineering Economics
Software Cost Estimation with Cocomo II with Cdrom
Software Cost Estimation with Cocomo II with Cdrom
Simulation: The Practice of Model Development and Use
Simulation: The Practice of Model Development and Use
A Systematic Review of Software Development Cost Estimation Studies
IEEE Transactions on Software Engineering
Organising insights into simulation practice
Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come
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There are several techniques for estimating cost and time for software development. These are known in software engineering as "software metrics." LOC (lines of code), COCOMO (COnstructive COst Model), and FPA (Function Point Analysis) are examples of such techniques. Although Discrete Event Simulation Modeling (DESM) has some differences from classical software development, it is possible to draw a parallel between these techniques and DESM. This article reviews some of the metrics from software engineering, and, based on those, proposes a metric for estimating time for the implementation of a simulation model using one specific simulation software. The results obtained for 22 real simulation projects showed that the proposed technique can estimate the time for software development with acceptable accuracy (average error of 6% and maximum absolute error of 38%) for models that have less that 200 simulation objects.