This article explains the fundamentals of code visualization, why it is needed, presents several real‑world scenarios, and details both static (source‑based and bytecode‑based) and dynamic analysis techniques for generating call graphs, along with their advantages, disadvantages, tools, and case studies.
This article explains how rapid business growth leads to dead Java code, defines unused code at the method level, compares runtime and full‑method collection techniques, describes the algorithm for deriving not‑executed methods, and outlines an architecture that combines ServiceAbility Agent and java‑all‑call‑graph for systematic code slimming.
The article examines the definition, pain points, and industry approaches to managing ultra‑complex microservice call networks, highlighting ByteDance's layered architecture, traffic identity marking, and practical recommendations for scaling and governing massive service ecosystems.
This article explains ByteDance’s automated precise testing solution, describing how method call‑chain analysis links code changes to Android Activities, enabling targeted test‑case recommendation, optimizing CI pipelines, and significantly improving test efficiency and coverage for large‑scale mobile projects.
This article describes a workflow for automatically recommending precise test cases for each code change in Android MR pipelines by building and optimizing activity‑method call chains using static analysis, linking test cases to changed methods, and demonstrating significant efficiency gains in large‑scale mobile development.
