ckaestne / seaibib

Related projects: ⓘ

• ckaestne / seai
  CMU Lecture: Machine Learning In Production / AI Engineering / Software Engineering for AI-Enabled Systems (SE4AI)
  ☆375Updated last year
• bvasiles / empirical-methods
  Homepage for 17-803 "Empirical Methods" at Carnegie Mellon University
  ☆123Updated 6 months ago
• acmsigsoft / EmpiricalStandards
  Tools and standards for conducting and evaluating research in software engineering
  ☆289Updated 2 weeks ago
• dspinellis / awesome-msr
  A curated repository of software engineering repository mining data sets
  ☆416Updated 3 years ago
• ASSERT-KTH / CodRep
  58069 Java source code diffs. http://arxiv.org/pdf/1807.03200
  ☆91Updated 5 years ago
• ml4code / ml4code.github.io
  Website for "A Survey of Machine Learning for Big Code and Naturalness"
  ☆288Updated last month
• acmsigsoft / submission-checker
  Checks the PDFs submitted to a conference, e.g., for formatting violations and double anonymous violations
  ☆60Updated 2 years ago
• margaretstorey / mixed-methods
  ☆13Updated 3 years ago
• yqtianust / awesome-ml-testing
  Awesome material(papers, tools, etc.) about testing machine learning system, including deep learning system.
  ☆47Updated 2 years ago
• bugcounting / software-analysis
  Material (mostly slides) for a graduate course on (formal) software analysis.
  ☆32Updated 5 years ago
• bvobart / mllint
  `mllint` is a command-line utility to evaluate the technical quality of Python Machine Learning (ML) projects by means of static analysis…
  ☆74Updated 2 years ago
• clowee / The-Technical-Debt-Dataset
  ☆25Updated 2 years ago
• ASSERT-KTH / codrep-2019
  CodRep 2019 edition.
  ☆20Updated 4 years ago
• margaretstorey / EmseUvic2020
  ☆34Updated 3 years ago
• src-d / reading-club
  Paper reading club at source{d}
  ☆115Updated 4 years ago
• Greg4cr / sbse-sigsoft-standard
  Proposed ACM SIGSOFT Standard for Optimization Studies in SE (including SBSE).
  ☆23Updated 3 years ago
• klainfo / ScottKnottESD
  The Scott-Knott Effect Size Difference (ESD) test
  ☆41Updated last year
• SE-ML / awesome-seml
  A curated list of articles that cover the software engineering best practices for building machine learning applications.
  ☆1,224Updated 5 months ago
• TestRoots / travistorrent-tools
  Tools used to create the data on TravisTorrent (http://travistorrent.testroots.org).
  ☆42Updated last year
• CSGuides / grad-job-guide
  CS Graduate Job Guide
  ☆33Updated 3 weeks ago
• ds4se / chapters
  Perspectives on Data Science for Software Engineering
  ☆59Updated last year
• brain-research / data-linter
  The Data Linter identifies potential issues (lints) in your ML training data.
  ☆87Updated 6 years ago
• emsejournal / openscience
  Empirical Software Engineering journal (EMSE) open science and reproducible research initiative
  ☆33Updated 7 months ago
• cmuvariability / PaperReadingGroup
  ☆10Updated 9 years ago
• michiyasunaga / DrRepair
  [ICML 2020] DrRepair: Learning to Repair Programs from Error Messages
  ☆191Updated 3 years ago
• JetBrains-Research / astminer
  A library for mining of path-based representations of code (and more)
  ☆280Updated 9 months ago
• cosmicBboy / themis-ml
  A library that implements fairness-aware machine learning algorithms
  ☆124Updated 3 years ago
• eth-sri / eran
  ETH Robustness Analyzer for Deep Neural Networks
  ☆313Updated last year
• SpoonLabs / coming
  A tool for mining commits from Git repositories and diffs to automatically extract code change pattern instances and features with ast a…
  ☆92Updated 3 months ago
• datamllab / awesome-fairness-in-ai
  A curated list of awesome Fairness in AI resources
  ☆309Updated last year