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.
This article presents a visual catalog of twenty key industrial sensors, ranging from flaw detectors and oxygen sensors to ultrasonic density meters, each illustrated with an image and a brief English description of its measurement principle.
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.
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.
In this expert round‑table, leaders from WeBank, Tencent and Kuaishou share practical insights on applying measurement frameworks such as GQM, value‑flow management and DevOps metrics to guide development behavior, improve quality and efficiency, and avoid common pitfalls in software R&D.
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.
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.
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.
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.
This article explains how a B2B product team can objectively measure and improve user experience and satisfaction by using a structured usability evaluation system, the FLOE framework, which defines four core dimensions, 19 indicators, and a step‑by‑step implementation process.
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.
This article explains what measurement means in R&D, why it is essential for organizational transformation, outlines key principles and metric categories, and describes a staged approach to building a measurement system that drives continuous improvement and high‑performance teams.
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.
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.
This article explains why measurement is essential for management, outlines a step‑by‑step process for collecting and analyzing efficiency metrics, and shows how to turn data‑driven insights into concrete conclusions and actionable improvement plans for software projects.
This article explains how operation designers can navigate abundant data like PV, UV, and conversion rates by defining user behavior paths, combining key metric ratios, applying funnel analysis, and distinguishing dimensions from measures to validate and improve product performance.
