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Continuous Delivery 2.0
Continuous Delivery 2.0
Jun 21, 2024 · Operations

Automated Dead Code Deletion at Scale: Google’s Sesenmann Project

The article explains how Google tackles the costly problem of dead code in its massive monorepo by using the Sesenmann automated deletion system, which leverages build‑system dependency graphs, activity signals, and graph‑analysis algorithms to safely identify and remove unused C++ code while addressing cultural resistance among engineers.

Build SystemDependency Analysisautomation
0 likes · 10 min read
Automated Dead Code Deletion at Scale: Google’s Sesenmann Project
JD Tech
JD Tech
May 6, 2024 · Fundamentals

Static and Runtime Code Scanning to Detect Unused Java Methods

This article presents a design and implementation of both static AST‑based scanning and runtime JaCoCo coverage analysis to automatically detect unused (zombie) Java methods, describing the workflow, required dependencies, code snippets, and how to visualize active versus dead code in the IDE.

ASTJaCoCoJava
0 likes · 8 min read
Static and Runtime Code Scanning to Detect Unused Java Methods
Continuous Delivery 2.0
Continuous Delivery 2.0
Jun 14, 2023 · Backend Development

Large‑Scale Code Deletion at Google (Sensenmann Project)

The article examines Google’s massive monorepo, the challenges of dead code, the Sensenmann project’s automated deletion using build‑graph analysis and Tarjan’s algorithm, discusses whitelist handling and communication strategies, and concludes with a brief promotion for a Python continuous‑deployment course.

Build SystemTarjan algorithmcode deletion
0 likes · 11 min read
Large‑Scale Code Deletion at Google (Sensenmann Project)
DaTaobao Tech
DaTaobao Tech
May 26, 2022 · Frontend Development

Measuring JavaScript Code Coverage and Reducing Dead Code in Front‑end Projects

By using Chrome DevTools and Istanbul/NYC to measure JavaScript coverage, developers can detect dead and low‑usage code, then convert such modules into dynamic imports via build plugins, enabling tree‑shaking and code‑splitting that reduces bundle size and speeds up first‑screen rendering.

InstrumentationJavaScriptcode coverage
0 likes · 11 min read
Measuring JavaScript Code Coverage and Reducing Dead Code in Front‑end Projects
Sohu Tech Products
Sohu Tech Products
Jun 17, 2020 · Information Security

Analyzing and Removing Dead Code and Flower‑Instruction Obfuscation from JavaScript

This tutorial explains how to recognize and eliminate dead code and flower‑instruction obfuscation techniques in JavaScript, walks through using Obfuscator.io to generate heavily mixed code, and demonstrates step‑by‑step static analysis to strip away useless statements, ultimately restoring the original concise logic.

JavaScriptReverse Engineeringdead code
0 likes · 12 min read
Analyzing and Removing Dead Code and Flower‑Instruction Obfuscation from JavaScript
Ctrip Technology
Ctrip Technology
Jun 26, 2018 · Mobile Development

Efficient Identification and Removal of Unused Code in Large-Scale Mobile Projects

The article discusses the challenges of locating dead or low‑utilization code in rapidly evolving mobile applications and presents a practical framework that combines Xcode code coverage with an automated UI testing platform and a gateway layer to achieve accurate online coverage without invasive instrumentation.

Automated Testingcode coveragedead code
0 likes · 6 min read
Efficient Identification and Removal of Unused Code in Large-Scale Mobile Projects