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Agile Book Club: System Architecture

James Shore

Teams that practice evolutionary design start with “the simplest thing that could possibly work” and evolve their design from there. But what about the components that make up a deployed system? Those components and interactions form your system architecture. Evolutionary System Architecture. ??

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Article: Thriving in the Complexity of Software Development Using Open Sociotechnical Systems Design

InfoQ Culture Methods

An organisation designed using open sociotechnical systems theory will be a more humane one where people are more engaged. The amazing progress made in technology has led to blindly following the technical imperative at the cost of the social and human dimension. By Trond Hjorteland.

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How to Conduct User Acceptance Testing: Process Stages, Deliverables, and End-User Testing Place in Quality Assurance

Altexsoft

This technique assumes testers aren’t able to look at how the system works so they can test it unbiased. So that the development team is able to fix the most of usability, bugs, and unexpected issues concerning functionality, system design, business requirements, etc. The system will ask you to authorize as a registered user.

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Reasons to hire IoT developer to transform the industrial sphere

Xicom

Intelligent homes, intelligent security systems, real-time monitoring and tracking systems, switching plants, smart gloves, smart mirrors, smart devices, etc. They have the same interface, intelligence and agility, but functional processes, principles, users and goals are different. There are examples. What is IoT?

IoT 40
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What is SDLC (Software Development Life Cycle)?

Openxcell

System engineers and developers use them to plan for, design, build, test, and deliver information systems. It aims at producing high-quality systems that meet or exceed customer expectations based on their requirements. The project can submit their work to an integrated system that flags anything due. SDLC Phases.

SDLC 94
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Grown-Up Lean

LeanEssays

I then make a sustained argument from the Linux experience for the proposition that “Given enough eyeballs, all bugs are shallow”, suggest productive analogies with other self-correcting systems of selfish agents, and conclude with some exploration of the implications of this insight for the future of software.