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measurement

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Model Perspective
Model Perspective
Dec 25, 2024 · Fundamentals

How the Seven SI Base Units Evolved: From Earth’s Curve to Quantum Constants

Explore the fascinating evolution of the seven SI base units—meter, second, kilogram, kelvin, ampere, mole, and candela—detailing how each transitioned from historical, Earth‑based definitions to precise modern standards anchored in constants like the speed of light, atomic transitions, and quantum phenomena.

SI unitsmeasurementmetrology
0 likes · 7 min read
How the Seven SI Base Units Evolved: From Earth’s Curve to Quantum Constants
DeWu Technology
DeWu Technology
Jun 28, 2023 · R&D Management

Interpreting R&D Data Metrics: From Collection to Actionable Insights

Effective R&D efficiency improvement requires moving from manual, scattered, and unstandardized data collection to mature, integrated systems, defining metrics aligned with business goals, and applying a three‑layer framework—quantifiable, explainable, and intervenable—through cleaning, baseline setting, statistical analysis, root‑cause identification, and ROI‑focused action planning to turn numbers into actionable insights.

Data AnalysisR&D metricsdecision making
0 likes · 12 min read
Interpreting R&D Data Metrics: From Collection to Actionable Insights
DataFunSummit
DataFunSummit
May 2, 2023 · Fundamentals

Designing Effective Data Indicator Systems: Concepts, Principles, and Practices

This article explains what data indicators are, outlines the four essential elements of a good indicator, evaluates indicators across effectiveness, reliability, sensitivity, and operability, and introduces a comprehensive ebook that teaches how to build and apply data indicator systems in various industries.

AnalyticsData GovernanceData Metrics
0 likes · 7 min read
Designing Effective Data Indicator Systems: Concepts, Principles, and Practices
DevOps
DevOps
Jun 15, 2022 · Operations

Enterprise DevOps Integrated Platform Construction: Current Landscape, Challenges, and Future Vision

This article examines the rapid growth of DevOps integrated platforms in China, analyzes the strengths and weaknesses of existing tools, outlines essential capabilities for an enterprise DevOps platform, and proposes a future architecture centered on lightweight IDE integration, containerized services, and comprehensive measurement.

CloudNativeDevOpsIntegration
0 likes · 8 min read
Enterprise DevOps Integrated Platform Construction: Current Landscape, Challenges, and Future Vision
DevOps
DevOps
Jan 27, 2022 · R&D Management

Why Software Development Efficiency Became a Hot Topic and How to Choose Effective Metrics

The article explains why software development efficiency has become a buzzword, outlines four underlying reasons, presents a comprehensive set of measurable indicators across planning, feedback, team transformation, decision support and engineering capability, and offers practical guidance on selecting and evolving metrics for different project types.

DevOpsR&D managementefficiency metrics
0 likes · 24 min read
Why Software Development Efficiency Became a Hot Topic and How to Choose Effective Metrics
Continuous Delivery 2.0
Continuous Delivery 2.0
Oct 25, 2021 · Fundamentals

Measuring Software Engineering Productivity: Goals, Signals, and Metrics

This article explains why measuring engineering productivity incurs costs, outlines Google's data‑driven research approach, and introduces the Goal‑Signal‑Metric (GSM) framework with practical steps for selecting meaningful metrics, balancing quantitative and qualitative insights, and turning results into actionable improvements.

GSM frameworkProcess Improvementmeasurement
0 likes · 10 min read
Measuring Software Engineering Productivity: Goals, Signals, and Metrics
Baidu Intelligent Testing
Baidu Intelligent Testing
Aug 26, 2021 · R&D Management

Why Metrics Fail and How to Design Effective R&D Efficiency Measurements

The article examines historical and modern cases of metric failures, analyzes root causes such as over‑reliance on easy‑to‑collect or single‑dimensional indicators, and offers practical guidance for building multi‑dimensional, automated, and team‑focused measurement systems that truly support software development goals.

KPIProcess ImprovementR&D metrics
0 likes · 12 min read
Why Metrics Fail and How to Design Effective R&D Efficiency Measurements
Continuous Delivery 2.0
Continuous Delivery 2.0
Aug 9, 2021 · R&D Management

Efficiency Measurement and Engineering Culture: From Farming to Industrialization

The talk explains why measurement is essential for engineering effectiveness, describes the shift from a handcrafted "farming" R&D model to an industrialized, data‑driven process, outlines when and how to measure, and emphasizes the importance of aligning metrics with true business outcomes.

Engineering CultureProcess ImprovementR&D management
0 likes · 5 min read
Efficiency Measurement and Engineering Culture: From Farming to Industrialization
Continuous Delivery 2.0
Continuous Delivery 2.0
Mar 9, 2021 · Operations

Scaling DevOps in Organizations Over 100 People: Normalization, Standardization, and Platformization

When a software organization exceeds one hundred members, merely copying existing DevOps practices is insufficient; instead, a three‑step approach—normalization, standardization, and platformization—must be applied to restructure teams, enable measurable outcomes, and sustain scalable efficiency across the enterprise.

DevOpsOperationsScaling
0 likes · 5 min read
Scaling DevOps in Organizations Over 100 People: Normalization, Standardization, and Platformization
DevOps
DevOps
Sep 30, 2020 · Fundamentals

Effective Software Quality Measurement: Goals, Methods, and Lifecycle Practices

This article explains how to define appropriate software quality measurement goals, choose quantitative or qualitative methods, apply periodic and lifecycle‑wide metrics, and use visual dashboards to turn measurement data into actionable improvements throughout the development process.

Continuous Improvementmeasurementmetrics
0 likes · 10 min read
Effective Software Quality Measurement: Goals, Methods, and Lifecycle Practices
DevOps
DevOps
Jul 13, 2020 · R&D Management

Google's Engineering Productivity Measurement: GSM Framework and QUANTS Model

This article explains how Google, a data‑driven company, improves engineering productivity by combining a dedicated research team, the Goals‑Signals‑Metrics (GSM) framework, and the QUANTS model to create actionable, traceable metrics for code readability and other efficiency goals, while balancing quantitative and qualitative insights.

Engineering ProductivityGSM frameworkGoogle
0 likes · 13 min read
Google's Engineering Productivity Measurement: GSM Framework and QUANTS Model