R&D Management 22 min read

Improving Software Development Efficiency Through Digital Analysis

The article explains how digital analysis can boost software development efficiency by defining R&D performance, applying a GQM‑based model, and showcasing case studies such as tester productivity, code‑review and testing‑cycle bottlenecks, while outlining a smart diagnostic platform, technical challenges, and future prospects.

Baidu Tech Salon
Baidu Tech Salon
Baidu Tech Salon
Improving Software Development Efficiency Through Digital Analysis

本文探讨了如何通过数字化分析提升软件开发效率,从研发效能的本质出发,介绍了效能分析的整体思路、实践案例和技术实现。主要内容包括:研发效能的定义和三个核心因素(做正确的(高价值的)事、正确的做事、可持续的顺畅交付),基于GQM方法建立分析模型,通过实际案例剖析效能瓶颈,并介绍搭建具备数字化智能诊断决策能力的数字化平台的技术方案。

此外,文章还详细介绍了业务测试人员人效分析、CR(Code Review)过程分析、研发测试周期瓶颈分析等多个方面的实践案例,并给出了针对性改进方案。最后,讨论了数字化系统的技术挑战和未来展望。

Original Source

Signed-in readers can open the original source through BestHub's protected redirect.

Sign in to view source
Republication Notice

This article has been distilled and summarized from source material, then republished for learning and reference. If you believe it infringes your rights, please contactadmin@besthub.devand we will review it promptly.

efficiency improvementdigital analysisdigital decision-makingR&D productivitySoftware Development Efficiency
Baidu Tech Salon
Written by

Baidu Tech Salon

Baidu Tech Salon, organized by Baidu's Technology Management Department, is a monthly offline event that shares cutting‑edge tech trends from Baidu and the industry, providing a free platform for mid‑to‑senior engineers to exchange ideas.

0 followers
Reader feedback

How this landed with the community

Sign in to like

Rate this article

Was this worth your time?

Sign in to rate
Discussion

0 Comments

Thoughtful readers leave field notes, pushback, and hard-won operational detail here.