Remove 2007 Remove Governance Remove Risk Remove Software
article thumbnail

Why do projects fail? (Includes examples!)

Rebel’s Guide to PM

The international team did not use compatible design software which led to snowballing problems. The Airbus A380 took its maiden transatlantic voyage in March 2007, silencing the critics and proving it could use runways shorter than other smaller jets. A version of this article first appeared on this blog in 2007.

article thumbnail

Implications of Artificial Intelligence on Project Management

The IIL Blog

AI is a branch of computer science that focuses on providing computer hardware and software with the ability to execute intelligent tasks with Generative AI (GenAI) learning and improving with each query. For over a quarter of a century, the Standish Group has tracked, reported, and improved software-intensive project success rates. [1]

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Agile: Past, Present, & Future. A Conversation with Agile Trainer, Rubin Jen.

International Institute for Learning

Rubin Jen has been in the project management field for over 23 years, spanning aerospace, engineering, telecom, software development, outsourcing, consulting, not-for-profit and government sectors. He has worked with companies such as Bombardier Aerospace, Celestica, Accenture and the Ontario Government.

Agile 59
article thumbnail

Risk Management Resources

Herding Cats

Risk Management is essential for development and production programs. Risk issues that can be identified early in the program, which will potentially impact the program later, termed Known Unknowns and can be alleviated with good risk management. Effective Risk Management 2 nd Edition , Edmund Conrow, AIAA, 2003.

article thumbnail

A Compendium of Risk Management Resources

Herding Cats

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.

article thumbnail

Reading List for the Cone of Uncertainty

Herding Cats

The primary purpose of software estimation is not to predict a project’s outcome; it is to determine whether a project’s targets are realistic enough to allow the project to be controlled to meet them ? This variation can be explained by the fact that initial concepts do not describe the final software system accurate enough.

2012 48
article thumbnail

Without a Root Cause Analysis, No Corrective or Preventive Action is Credible - Part 1

Herding Cats

But before going further, let's establish the definitions we need to understand and apply Root Cause Analysis needed to discover the corrective and preventive actions to increase the probability of project success - especially Software Project Success. Gano, Atlas Books, 2007. What factors lead to software project failure?”

2014 45