No Silver Bullet – Essence and Accident in Software EngineeringNo Silver Bullet – Essence and Accident in Software Engineering Mike Ballou“There is no single development, in either technology or management technique, which by itself promises even one order-of- published The Mythical Man-Month: Essays on Software Engineering • In 1987, authored No Silver Bullet – Essence and Accident in Software Engineering“We hear desperate cries for a silver bullet – something0 码力 | 35 页 | 1.43 MB | 5 月前3
MITRE Defense Agile Acquisition Guide - Mar 2014approach, program managers need to work with stakeholders representing the requirements, systems engineering, contracting, cost estimating, and testing communities to design processes around short releases government-contractor teams. Agile cannot solve all of the DoD’s IT acquisition challenges, but offers a set of principles that can help reduce cycle times and risks to deliver IT in a complex environment. “The US joint Agile within the unique and complex DoD acquisition environment. This guide seeks to adapt proven principles of Agile development specifically to the DoD context. More and more federal acquisition programs0 码力 | 74 页 | 3.57 MB | 5 月前3
DoD CIO Enterprise DevSecOps Reference Design - Summaryver=2019-09-26-115824-583 DevSecOps – Defined by DoD CIO DevSecOps is an organizational software engineering culture and practice that aims at unifying software development (Dev), security (Sec) and operations recovery: how long it takes applications in the production stage to recover from failure. Key Principles to implementing a successful DevSecOps approach Remove bottlenecks (including human ones) and tools from planning and requirements through deployment and operations. Leverage agile software principles and favor small, incremental, frequent updates over larger, more sporadic releases. Apply the0 码力 | 8 页 | 3.38 MB | 5 月前3
The DevOps Handbookprovides safe, supported passage 2. You can go beyond the buoys, if you follow organizational principles 4. Ch. 21 – Reserve Time to Create Organizational Learning and Improvementa. Toyota Production Security in the same manner as QA and operations b. Compliance checking is the opposite of security engineering c. INTEGRATE SECURITY INTO DEVELOPMENT ITERATION DEMONSTRATIONS i. Bring Infosec left; incorporate0 码力 | 9 页 | 25.13 KB | 5 月前3
Trends Artificial Intelligence
Stanford University… 1: AI ‘Winter’ was a term used by Nils J. Nilsson, the Kumagai Professor of Engineering in computer science at Stanford University, to describe the period during which AI continued to would understand goals, generate plans, and self-correct in real time. They could drive research, engineering, education, and logistics workflows with little to no human oversight – handling ambiguity and databases. Model development = frameworks for modeling & training, inference optimization, dataset engineering, & model evaluation. Application development = custom AI-powered applications (varied use cases)0 码力 | 340 页 | 12.14 MB | 4 月前3
Open Discussion on Project Planningat every levelSystems Engineering Role Program leaders must encourage systems engineers to engage developers, testers, users, and other stakeholders in their disciplined engineering processes. (No ivory ivory towers) While Agile systems engineering involves frequent informal technical and programmatic reviews, this less formal approach does not equate to less rigor. Instead, greater frequency allows key0 码力 | 2 页 | 49.30 KB | 5 月前3
IntroductionPuławska 182 - WarsawaSpeakers for September 1. Topics from software engineering to implement/use X in Golang app 2. Software engineering + tech leadership topics 3. Your experience building your software0 码力 | 8 页 | 27.61 MB | 5 月前3
IntroductionPuławska 182 - WarsawaSpeakers for September 1. Topics from software engineering to implement/use X in Golang app 2. Software engineering + tech leadership topics 3. Your experience building your software0 码力 | 8 页 | 379.61 KB | 5 月前3
Real-Time Unified Data Layers:
A New Era for Scalable Analytics,
Search, and AIand consume unprecedented volumes of data across a growing number of sources and formats, data engineering and architecture teams must design systems that not only scale but also deliver real-time access availability to ensure data integrity, privacy, and governance. To overcome these challenges, data engineering and architecture teams must rethink traditional data infrastructures. The future lies in Real-Time0 码力 | 10 页 | 2.82 MB | 5 月前3
The DevOps Handbookenvironments (to include production, pre-production, and CD pipeline) iii. Ian Malpass, Etsy – “If Engineering at Etsy has a religion, it’s the Church of Graphs. If it moves, we track it. Sometimes we’ll draw gets visceral feedback on upstream decisions. (Pedro Canahuati, Facebook Director of Production Engineering) iii. Find the proper balance between fixing production issues and new features development –0 码力 | 8 页 | 24.02 KB | 5 月前3
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