Official account of ByteDance SE Lab, sharing research and practical experience in software engineering. Our lab unites researchers and engineers from various domains to accelerate the fusion of software engineering and AI, driving technological progress in every phase of software development.
This article explains how a performance optimization team quickly designed a hardware scoring framework for mobile games, detailing the definition of key terms, the background and methodology of hardware scoring, the analysis of major GPU families, and a step‑by‑step guide to creating and applying scoring rules in a tight project timeline.
This article explains Douyin's comprehensive video‑quality pipeline, covering the impact of resolution, bit depth, frame rate, color gamut and brightness, the end‑to‑end processing chain from sensor to server to client, and the mix of subjective and objective evaluation methods used to continuously improve visual experience.
This article walks through practical iOS startup optimization, covering monitoring strategies, non‑intrusive instrumentation, development‑stage testing, essential tools like Time Profiler and System Trace, and a comprehensive set of best‑practice tactics to shrink launch time and maintain performance.
This article introduces knowledge graphs, defining them as semantic networks or multi‑relational graphs, explains entities and relations, compares RDF and graph‑database storage, outlines construction steps including entity extraction and ontology building, reviews embedding models like TransE/H/R/D, and explores applications in search, finance, recommendation, and language models.
This article explains why A/B testing is essential, illustrates real-world examples from ByteDance, details the multi-layer architecture of the Volcano Engine A/B testing system, outlines experiment design, implementation, statistical analysis, best practices, and future trends, providing a comprehensive guide for product teams.
The Creation Quality Platform (CQ) automates large‑scale detection of templates, mini‑programs, and special‑effect resources across ByteDance apps, combining automated pipelines, algorithmic classification, CV/NLP checks, and prioritized task routing to boost efficiency, accuracy, and creator experience while reducing manual effort.
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 guide explains how to plan, configure, and execute full‑link performance testing—including network architecture, testing objectives, environment isolation, platform setup, various load‑generation methods, monitoring, and post‑test analysis—to ensure reliable, scalable services under heavy traffic.
The article examines Salesforce’s five‑hour global outage caused by a shortcut DNS deployment and the subsequent recovery challenges, then explores a viral experiment where twenty smartphones generated artificial traffic congestion, illustrating how real‑time data feeds and operational safeguards can prevent large‑scale service disruptions.
This article presents a method for precisely measuring mobile app response latency by extracting video frames, detecting start and end frames through image markers and OCR, and calculating the time difference, offering a high‑precision, customizable solution for performance evaluation across diverse app scenarios.
