#noestimates Project Planning Using Monte Carlo Simulation
Feb 07, 2015
Dimitar Bakardzhiev discusses planning a fixed bid project by applying the Monte Carlo simulation using collected historical data about lead time per story.
Python: Why Are the Big Dealers Making Big Bets?
Andy Fundinger, Mario Morales
Oct 22, 2014
The authors demonstrate the design and use of an environment for quantitative researchers building a market risk simulation first as a basic system and then adding a hypothetical systemic shock. They also discuss how to leverage the dynamic typing of the language without sacrificing some of the benefits of a strongly typed languages.
Quantifying Risk for Innovative Teams
Oct 19, 2014
Sam McAfee focuses on quantitative risk modeling approaches when developing new products or services that do not have a well understood product/market fit scenario. Using modeling approaches like Monte Carlo simulations and Cost of Delay scenarios, he explores how lean innovative teams can bring scientific rigor back into their Lean Startup process.
Simulation-Based Embedded Agile Development
Jason Ard, Kristine Davidsen, Terril Hurst
Nov 16, 2014
In this article, authors discuss how simulation-centric development can improve product quality, reduce cost, and deliver reliable working code. They talk about using simulation as an integral part of the development process, to be utilized continuously throughout the product development life cycle.