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Microeconomics and Risk Management in Decision Making for Software Development

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Microeconomics is applicable to the development is software systems. If we look at the discipline of software engineering, we see that the microeconomics branch of economics deals more with the types of decisions we need to make as software engineers or managers. Software engineering economics." Macroeconomics is not. .

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Compendium of Works to Increase Probability of Project Success

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Here's a collection of presentations, briefings, papers, essays, book content used to increase the Probability of Project Success (PoPS) I've written and applied over my career in the software-intensive system of systems and other domains. Project Performance Management (#PPM). Technical Performance Measures (#TPM).

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Deconstructing The Cone of Uncertainty

Herding Cats

Shipping on time, to specifications, and within budget might be meaningless if a competitor is shipping software that has a greater value to the market. Landmark’s measure of success over these three years had much more to do with customer satisfaction and market share than with meeting knowingly aggressive targets. Wallshein, Ph.D.

2007 42
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Decision Analysis - Ordinal and Cardinal Measures

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When we hear of the difficulties of making decisions in the presence of uncertainty, especially about software features and capabilities, there are straightforward ways to solve this problem. In our agile software development world, AHP is rarely found. Mathematically, the value equals performance over cost plus time.

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Cone of Uncertainty - Part Cinq

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Barry Boehm's work in “Software Engineering Economics”. The Cone is a project management framework describing the uncertainty aspects of estimates (cost and schedule) and other project attributes (cost, schedule, and technical performance parameters). This is due to many reasons. Software Engineering Economics”.

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Why Johnny Can't Do The Math

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In software development, those managing the project have some understanding the market forces (from their marketing departments), the technology (from their engineering department), and how to manage in the presence of Aleatory and Epistemic risk (the managers running a successful firm). Software projects are non-ergodic.

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Cone of Uncertainty - Part Cinq (Updated)

Herding Cats

Barry Boehm's work in “Software Engineering Economics”. The Cone is a project management framework describing the uncertainty aspects of estimates (cost and schedule) and other project attributes (cost, schedule, and technical performance parameters). This is due to many reasons. Software Engineering Economics”.