18 skills found
jerabaul29 / OpenMetBuoy V2021aAn easy to build, affordable, customizable, open source instrument for oceanographic measurements - with global Iridium coverage
goccy / TobariTobari is a scoped coverage measurement tool for Go
eqv / Aflq Fast CovA fast binary coverage measurement tool based on AFL's Qemu mode
alobbs / Doxy CoverageSource Code Documentation Coverage Measurement
intel / Reference PE And Measurements DB For WiFi Time Based Scalable LocationThe repository includes a reference Matlab code for a mobile WiFi client receiver, Kalman-Filter-based positioning engine (PE) and a database of time-delay measurements of an indoor environment. The database includes both real-measured data, and simulated time-delay data, as well as ground-truth client position information, which can be used for validation and performance analysis. The PE code is designed to process the database data format and produce estimates of the mobile WiFi receiver position within the indoor venue. The database may be used for the development, validation and performance analysis of additional positioning engines. This kind of WiFi client PE enables an unlimited number of clients to estimate the position and navigate within the Wi-Fi network coverage area. Hence, it enables so-called "Wi-Fi Scalable Location". A *.pdf whitepaper is included in the repository and explains the functionality and usage of the code and database.
usnistgov / LTECoverageToolThe LTE Coverage Tool application and SDK enable first responders and public safety personnel to survey and evaluate coverage by LTE networks in environments where incidents are ongoing or planned. While accuracy of the data from UE measurements is much lower than that of specialized equipment, the application provides subjective assessments of coverage quality, using UEs which are already available to agencies and personnel.
AmirhosseinHonardoust / Decision SafetyLong-form article introducing Decision Safety: a trust gate between dashboards and actions. Defines four pillars (coverage, freshness, stability, measurement risk), proposes a Decision Safety Score (0–100), shows common failure modes, and includes a copy-paste “Decision Safety Contract”+checklist to block unsafe decisions without hiding dashboards.
VakinduPhilliam / NodeJS Clean ArchitectureNodeJS Clean Architecture. Clean Architecture is an opinionated boilerplate for Node web APIs focused on separation of concerns and scalability with Uncle Bob Clean Architecture implementation. Features: > Union - Layered folder structure: code organization focused on codebase scalability. > Instant feedback and reload: use Nodemon to automatically reload the server after a file change when on development mode, makes the development faster and easier. > Scalable and easy to use web server. > Use Express for requests routing and middlewares. There are some essential middlewares for web APIs already setup, like body-parser, compression, and method-override. > Database integration: Mongoose, a MongoDB Database Connection, is already integrated; you just have to set the authentication configurations. > Prepared for testing: The test suite uses Mocha, Chai and is prepared to run unit, integration and functional tests right from the beginning. A FactoryGirl adapter for Mongo is setup to make your tests DRY as well, and the tests generate code coverage measurement with. You should read about the Chai plugins that are setup by default too. > Dependency injection: With Awilix, a practical dependency injection library, the code will not be coupled and it'll still be easy to resolve automatically the dependencies on the runtime and mock them during the tests. It's even possible inject dependencies on your controllers with the Awilix Express adapter. >Logging: The Log4js logger is highly pluggable, being able to append the messages to a file during the development and send them to a logging service when on production. Even the requests (through Morgan) and queries will be logged. > Linter: It's also setup with ESLint to make it easy to ensure a code styling and find code smells. How to use: Notice that the boilerplate comes with a small application for user management already; you can delete it with a npm script after you understand how the boilerplate works but please do the quick start first! 1. Clone the repository. 2. Setup the database on `config/database.js` (there's an example file there to be used with MongoDB). 3. Install the dependencies with `yarn`. 4. Create the development and test databases you have setup on `config/database.js` 5. Run the application in development mode with `npm run dev` 6. Access `http://localhost:3000/api/users` and you're ready to go! Compiled and presented by Vakindu Philliam.
carljm / Pytest SmartcovSmart coverage measurement for py.test.
AmirhosseinHonardoust / Student Survey Quality Bias AuditPortfolio-grade audit of a student mental health & academic pressure survey. Measures coverage and sample imbalance, runs validity checks, highlights measurement and selection bias risks, and converts messy open-text “stress causes” into a transparent taxonomy. Ships a Markdown report, figures, and a Streamlit dashboard.
AmirhosseinHonardoust / Trend Vs Collection ForensicsA deep-dive analytics article on why most KPI “trends” are actually measurement artifacts. Covers the fake-trend taxonomy (schema drift, coverage loss, time shifts, backfills, dedupe, sampling, mix change), a Trend Courtroom evidence protocol, segment invariance tests, and copy-ready checklists + a Trend Report Card for decision safety.
akira-cn / Babel Plugin Transform CoverageA plugin for Babel 6 that converts the source code to the code with coverage measurement for jscover.
xlab-uiuc / DebCovDiffArtifact of "DebCovDiff: Differential Testing of Coverage Measurement Tools on Real-World Projects" (ASE '25)
pilgun / AcvcutThis tool shrinks/debloat Android apps towards executed code. Based on ACVTool instruction coverage.
Pargo18 / Applying Deep Learning Vs Machine Learning Models To Reproduce Dry Spell SequencesThis research constitutes an attempt to assess the dry spell patterns in the northern region of Ghana, near Burkina Faso. We aim to develop a model which by exploiting satellite products overcomes the poor temporal and spatial coverage of existing ground precipitation measurements. For this purpose 14 meteorological stations featuring different temporal coverage are used together with satellite-based precipitation products. Conventional machine-learning and deep-learning algorithms were compared in an attempt to establish a link between satellite products and field rainfall data for dry spell assessment.
zachratliff22 / CSCM ToolCombinatorial Sequence Coverage Measurement Tool - command line tool for counting t-way permutations in a given test suite
ZoraizQ / Physcov Airsim DroneScaling PhysCov to 3D for drone physical coverage measurement, with real-time computation using LIDAR data from AirSim quadrotor drone.
codexns / Package CoverageA Sublime Text package for unit testing and code coverage measurement
