2007 Risk Software Engineering Technical Review 
The IIL Blog
OCTOBER 24, 2023
By Eugene Bounds and Steve Ackert Recently, the buzzword artificial intelligence (AI) has been on everyone’s minds, not just in the tech world but across many industries, including project management. AI technology will automate repetitive processes, generate insightful program reports, and highlight potential problems before they arise.
Project Pulse Journal
APRIL 15, 2024
Transitioning from manufacturing to software engineering and development and various other industries, the Kanban Board has become a fundamental tool for visual management in project and workflow management, credited to the Agile movement. Columns might include "Ideation," "Design," "Approval," "Execution," and "Review."
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Herding Cats
MAY 10, 2019
Risk Management is essential for development and production programs. Information about key project cost, (technical) performance, and schedule attributes is often uncertain or unknown until late in the program. Effective Risk Management 2 nd Edition , Edmund Conrow, AIAA, 2003. Risk Management Papers. “A De Meyer, C. “A
Herding Cats
MAY 11, 2019
This blog page is dedicated to the resources used to manage the risk encountered on software-intensive systems using traditional and agile development methods. Let's start with a critical understanding of the purpose of managing risk on software development projects. IEEE Transactions on Software Engineering , Vol.
Herding Cats
MARCH 11, 2017
The naturally occurring work effort in the development of a software feature - even if we've built the feature before - is an irreducible uncertainty. The risk is created when we have not accounted for this natural variances in our management plan for the project. An aleatory risk is expressed as a relation to a value.
Herding Cats
OCTOBER 24, 2018
Gano, Atlas Books, 2007. What factors lead to software project failure?” “A Taxonomy of an IT Project Failure: Root Causes,” Walid Al-Ahmad, Et Al, International Management Review, Vol. Why Do Information Technology Projects Fail?” What Are Problem Causes of Software Projects? Perry, and Dieter Stoll, ICSE 2000.
Herding Cats
JANUARY 22, 2017
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. Prentice-Hall, 1981.
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