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Using Generative AI to Drive Corporate Impact

TechEmpower - Project Management

In the sphere of software engineering , AI is pivotal for corporate IT by automating coding, optimizing algorithms, and enhancing security to boost efficiency and minimize downtime. By automating routine and complex tasks alike, AI allows engineers to focus on innovation and strategic tasks.

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Quality Assurance and Testing: A Quick Guide

ProjectManager.com

The world wars required massive manufacturing initiatives that were very complex. After WWII, manufacturing that had been destroyed was rebuilt and new quality assurance concepts were introduced, such as more collaborative ideas for quality and a more comprehensive approach. The Software Industry.

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5 Agile Methodologies for Project Managers that are not Scrum Framework

Project Pulse Journal

The Kanban Board originates from Toyota's manufacturing system in the late 1940s, where it is a part of the Lean Manufacturing principles by Taiichi Ohno. Lean Software Development (LSD) Inspired by lean manufacturing principles, LSD maximizes value delivery while minimizing waste.

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How to Use nTask for Waterfall Project Management – A Practical Guide for First Timers

nTask

Its simplicity and ease of implementation has made it the most popular version of the systems development life cycle (SDLC) for software engineering and IT projects. The origin of the Waterfall Model is often attributed to the manufacturing and construction industries. Background. Disciplined.

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Estimating is a Learned Skill

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 ‒ Steve McConnell. Software quality measurement,” Magne Jørgensen, Advances in Engineering Software 30 (1999) 907–912.

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Software Estimating Resources

Herding Cats

“Effort Estimation of Use Cases for Incremental Large-Scale Software Development,” Pareastoo Mohagheghi, Bente Anda, and Reidat Conradi, Proceedings of the 27th international conference on Software engineering. Software Development Effort Estimation using Fuzzy Bayesian Belief Network with COCOMO II,” B. Newnes, A.

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Risk Management Resources

Herding Cats

Taxonomy-Based Risk Identification,” Marvin Carr, Suresh Konda, Ira Monarch, Carlo Ulrich, and Clay Walker, Technical Report, CMU/SEI-93-TR-6, Software Engineering Institute, June 1993. IEEE Transactions on Software Engineering , Vol. Software Engineering Institute, January 1996. De Meyer, C. Loch, and M.