expensive and risky transformation effort, FOC is in no sense a “final” operating capability. Quality It is difficult for IT to gain a seat at the table when IT is always failing, but on the other hand face the consequences. In the plan-driven model, quality was easier to understand.  We specified what the system should do, and then measured quality as adherence to that specification.  The opposite Probably not that, either.  We are constantly making quality decisions, especially in a Continuous Delivery model, as we decide whether the quality of each individual feature is adequate for the feature

framework includes the concept of “Done,” which constitutes a critical aspect of ensuring high-quality software. To be considered potentially releasable, a piece of functionality must adhere to a common team of software developers, including software and security engineers, data specialists, testers, quality assurance, and configuration managers. Ideally these participants are co-located in the same also write user stories to cover underlying characteristics of security, technical performance, or quality. Interfaces with other systems are usually captured as user stories. User stories require little

manufacturing lead time required to convert raw materials into finished goods was the best predictor of quality, customer satisfaction, and employee happiness 2. one of the best predictors of short lead times flow that cascade through the entire manufacturing plant. The result is long lead times and poor quality 3. Consider when we have an annual schedule for software releases, where an entire year’s worth of WIP and massive disruptions to all downstream work centers, resulting in poor flow and poor quality outcomes. This validates our common experience that the larger the change going into production

No tool can address software quality issues more effectively than fostering a culture of continuous improvement. AI-generated65 Aurora Innovation Improving software quality Culture Teams need to foster accountability for software quality. reward continuous improvements and actively share about technical debt. Commitment Teams need to commit to continued investment in maintaining software quality and continuously culture Maintaining software quality is a collective effort. Shift-left testing reduces development cost and improves ef�ciency. Effective communication about software quality helps improve it. Reward

highest quality C++ standard libraries” – Beman project mission 17 David Sankel Richard Powell© 2024 Adobe. All Rights Reserved. “ Support the efficient design and adoption of the highest quality C++ Powell© 2024 Adobe. All Rights Reserved. “ Support the efficient design and adoption of the highest quality C++ standard libraries through implementation experience, user feedback” – Beman project mission Powell© 2024 Adobe. All Rights Reserved. “ Support the efficient design and adoption of the highest quality C++ standard libraries through implementation experience, user feedback, and technical expertise

STATEMENT A] This material has been approved for public release and unlimited distribution. C API: Quality of Life Issues - For each predefined GraphBLAS operator, the C API requires a separate C function STATEMENT A] This material has been approved for public release and unlimited distribution. C API: Quality of Life Issues - For each predefined GraphBLAS operator, the C API requires a separate C function STATEMENT A] This material has been approved for public release and unlimited distribution. C API: Quality of Life Issues - For each predefined GraphBLAS operator, the C API requires a separate C function

intended Documented ReviewsReliability Efficiency Security Maintainability SizeHigh quality software is cheaper to produce! –Developer FrustrationFrustration Points Major % Managing libraries NULL pointers, part 1: https://lwn.net/Articles/342330/Why code analysis – ● Improve software quality ● Lower developer frustration ● Avoid UBLanguageLanguage helps! – ● Lifetime safety: http://wg21 Standard to everyone Depends on the toolToolingWhat do you use for guideline enforcement or other code quality/analysis? –Code Analysis: CI – https://www.sonarsource.com https://rules.sonarsource.com/cpp

measurable improvements on three fronts: 01 Workforce performance Helping people deliver higher-quality outputs in shorter 
 time frames. 02 Automating routine operations Freeing people from repetitive examples. 5 AI in the EnterpriseLesson 1 Start with evals How Morgan Stanley iterated to ensure quality and safety As a global leader in financial services, Morgan Stanley is a relationship business. clients.
 They started with three model evals: 01 Language translation Measuring the accuracy and quality of translations produced 
 by a model. 02 Summarization Evaluating how a model condenses information

improve code quality in your organization, I would say, take all your coding guidelines and replace them with the one goal. … No Raw Loops. This will make the biggest change in code quality within your improve code quality in your organization, I would say, take all your coding guidelines and replace them with the one goal. … No Raw Loops. This will make the biggest change in code quality within your

rust-analyzer support (e.g. “▶ Run Test | Debug”). Language Library Tooling Tooling Codegen quality: minimal source code example 1 struct Example(Option); impl Drop for Example { fn drop(&mut take(); } } pub fn example() -> u32 { Example(Some(10u32)).0.take().unwrap() } Codegen quality: output example::example: pushq %rbx subq $16, %rsp movabsq $42949672961 movl $10, %eax retq When unwrap_unchecked is used instead. Tooling Tooling Codegen quality: example 2, minimal source code use std::ptr::read_volatile; pub unsafe fn test1(ptr: *const u32)