MITRE Defense Agile Acquisition Guide - Mar 2014Unlimited. 14-0391ii Executive Summary The Department of Defense (DoD) needs an acquisition framework for information technology (IT) that can keep pace with rapidly changing technologies and operations time to employ. This guide is intended to show how the DoD could tailor the Defense Acquisition Framework to benefit from Agile development best practices. To succeed with an Agile approach, program managers communities to design processes around short releases. Acquisition executives must also streamline the decision process by empowering small, dynamic, government-contractor teams. Agile cannot solve all of the0 码力 | 74 页 | 3.57 MB | 5 月前3
Cynefin - Agile for DefenseCynefin Shawn Stumme, August 5, 2020 Decision Making FrameworkCynefin Ku-nev-in Welsh word - habitat or place Signifies the multiple factors in our environment and our experiences that influence A model tries to represent reality Framework is a way of looking at reality Not a modelCategorization Frameworks Categorization Frameworks - the framework proceeds the data • Put the data in • Good for exploitation; not for exploration & change Sense-making Frameworks Sense-making framework - the data proceeds the framework • Capture the data • Patterns emerge from the data • Provides0 码力 | 17 页 | 3.75 MB | 5 月前3
A Seat at the Table - IT Leadership in the Age of Agilityare, but rather how the team will discover them. I want to make sure the team has a good basis for making value decisions. How is the team planning to work together? What skills are on the team? How will value this way, rather than other ways.” Really, a requirement is a constraint masquerading as a decision. What we have traditionally called a requirement may better be thought of as a hypothesis. that would add business value. The best framework I have found for working with desired outcomes as requirements is Gojko Adzic’s Impact Mapping: Making a Big Impact with Software Products and Projects0 码力 | 4 页 | 379.23 KB | 5 月前3
The DevOps Handbookresilient organizations are “skilled at detecting problems, solving them, and multiplying the effect by making the solutions available throughout the organization.” They are self-healing ii. Netflix – April “mistakes in a way that focuses on the situational aspects of a failure’s mechanism and the decision- making process of individuals proximate to the failure.” – John Allspaw ii. Blameless Post-Mortem Created platform addressing bulk of compliance concerns driven by ATO requirements 2. Automating framework for generation of system security plans j. INTEGRATE INFORMATION SECURITY INTO PRODUCTION TELEMETRY0 码力 | 9 页 | 25.13 KB | 5 月前3
Tornado 6.5 Documentation. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13 6.2 Web framework . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40 Python web framework and asynchronous networking library, originally developed at FriendFeed. By using non-blocking network I/O, Tornado can scale to tens of thousands of open connections, making it ideal Python web framework and asynchronous networking library, originally developed at FriendFeed. By using non-blocking network I/O, Tornado can scale to tens of thousands of open connections, making it ideal0 码力 | 272 页 | 1.12 MB | 3 月前3
Real-Time Unified Data Layers:
A New Era for Scalable Analytics,
Search, and AItechnical—business expectations have grown, putting additional pressure on data teams to enable faster decision-making and drive tangible value. Business lines, customers and consumers now demand and expect: Faster interpret, and extract value from data. Together, they enable efficient data processing, enhance decision-making, and improve user experiences: Analytics transforms raw data into actionable insights through enhancing discoverability, accelerating decision-making, and improving operational efficiency. AI acts as the intelligence layer, optimizing both search and analytics by making them faster, smarter, and more intuitive0 码力 | 10 页 | 2.82 MB | 5 月前3
Julia 1.12.0 RC1high-level programming languages. Tasks are not so standard: they provide non-local control flow, making it possible to switch between temporarily-suspended computations. This is a powerful construct: scope rule applies, and the assignment is ambiguous so a warning is emitted • execution continues, making s local to the for loop body • since s is local to the for loop, it is undefined when t = s + i restricted. Julia's type system is dynamic, but gains some of the advantages of static type systems by making it possible to indicate that certain values are of specific types. This can be of great assistance0 码力 | 2057 页 | 7.44 MB | 3 月前3
Julia 1.11.4high-level programming languages. Tasks are not so standard: they provide non-local control flow, making it possible to switch between temporarily-suspended computations. This is a powerful construct: scope rule applies, and the assignment is ambiguous so a warning is emitted • execution continues, making s local to the for loop body • since s is local to the for loop, it is undefined when t = s + i restricted. Julia's type system is dynamic, but gains some of the advantages of static type systems by making it possible to indicate that certain values are of specific types. This can be of great assistance0 码力 | 2007 页 | 6.73 MB | 3 月前3
Julia 1.11.5 Documentationhigh-level programming languages. Tasks are not so standard: they provide non-local control flow, making it possible to switch between temporarily-suspended computations. This is a powerful construct: scope rule applies, and the assignment is ambiguous so a warning is emitted • execution continues, making s local to the for loop body • since s is local to the for loop, it is undefined when t = s + i restricted. Julia's type system is dynamic, but gains some of the advantages of static type systems by making it possible to indicate that certain values are of specific types. This can be of great assistance0 码力 | 2007 页 | 6.73 MB | 3 月前3
Julia 1.11.6 Release Noteshigh-level programming languages. Tasks are not so standard: they provide non-local control flow, making it possible to switch between temporarily-suspended computations. This is a powerful construct: scope rule applies, and the assignment is ambiguous so a warning is emitted • execution continues, making s local to the for loop body • since s is local to the for loop, it is undefined when t = s + i restricted. Julia's type system is dynamic, but gains some of the advantages of static type systems by making it possible to indicate that certain values are of specific types. This can be of great assistance0 码力 | 2007 页 | 6.73 MB | 3 月前3
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