4 रिपॉजिटरी
Tools and utilities for inspecting and troubleshooting asynchronous execution flows and thread-safety issues.
Distinct from Concurrent Code Testing: Distinct from Concurrent Code Testing: focuses on runtime inspection and troubleshooting of live concurrent operations rather than verifying correctness through tests.
Explore 4 awesome GitHub repositories matching testing & quality assurance · Concurrency Debugging. Refine with filters or upvote what's useful.
यह प्रोजेक्ट एक तकनीकी संदर्भ और Go भाषा रनटाइम व कंपाइलर पर केंद्रित आंतरिक विश्लेषण नोट्स का एक संग्रह है। यह मेमोरी मैनेजमेंट, गारबेज कलेक्शन और शेड्यूलर के निष्पादन मॉडल को कवर करते हुए, भाषा के आंतरिक विवरणों का विस्तृत विवरण प्रदान करता है। यह सामग्री Go असेंबली निर्देशों, रजिस्टर उपयोग और सिस्टम कॉल इंटरफेसिंग के लिए एक संदर्भ सहित निम्न-स्तरीय सिस्टम विवरणों में गहराई से जाकर खुद को अलग करती है। यह विशेष रूप से कॉनकरेंसी प्रिमिटिव्स के आंतरिक कार्यान्वयन का विश्लेषण करती है, जैसे कि गोरूटीन शेड्यूलिंग मैकेनिज्म, चैनल ऑपरेशन्स और म्यूटेक्स लॉक कार्यान्वयन। कवरेज कंपाइलर निर्माण सिद्धांत तक फैली हुई है, जिसमें लेक्सिकल और सिंटैक्टिक विश्लेषण, साथ ही टाइप सिस्टम और इंटरफेस मैनेजमेंट के मैकेनिक्स शामिल हैं। यह विभिन्न परफॉरमेंस ऑप्टिमाइज़ेशन तकनीकों, स्टैक ट्रेसिंग के लिए रनटाइम डायग्नोस्टिक यूटिलिटीज और नेटवर्क I/O प्रिमिटिव्स का भी विवरण देती है।
Analyzes goroutines, channel states, and lock contention to resolve concurrency bugs like deadlocks and race conditions.
Dokka is an extensible documentation engine designed to generate structured API reference materials for Kotlin projects. By parsing source code and comments, it functions as a static site generator that transforms codebases into readable documentation. It integrates directly into development workflows as a build system plugin, allowing for the automated creation of reference materials during the standard compilation process. The project distinguishes itself through a modular, plugin-driven processing pipeline that allows developers to modify the generation workflow, customize output formats,
Includes specialized tools for inspecting and troubleshooting the state of asynchronous operations during execution.
Panicparse is a toolset for Go crash analysis and runtime debugging. It functions as a panic stack trace parser, a race detector log parser, and a goroutine deduplicator designed to transform raw crash dumps and thread sanitizer output into structured, readable formats. The project distinguishes itself by converting complex stack traces into visual HTML reports with embedded source code. It reduces noise in highly parallelized processes by grouping identical goroutine stacks and prioritizes application code over standard library calls during parsing. The utility also covers live process moni
Provides utilities for inspecting and troubleshooting asynchronous execution flows in highly parallelized Go applications.
This project is an educational resource providing a collection of executable Java code examples designed to demonstrate common multi-threading pitfalls and synchronization failures. It serves as a practical guide for developers to identify and debug issues such as race conditions, memory visibility problems, and deadlocks within concurrent software environments. The repository distinguishes itself by offering reproducible scenarios that simulate complex concurrency hazards, including structural corruption in non-thread-safe collections and cyclic dependencies between threads. By executing the
Executes code examples of common multi-threading pitfalls like non-atomic operations to help developers identify and debug concurrency issues.