Alternatives and similar repositories for RetromorphicTesting:

Users that are interested in RetromorphicTesting are comparing it to the libraries listed below

• CUHK-Shenzhen-SE / D4C
  [ICSE'25] Aligning the Objective of LLM-based Program Repair
  ☆14Updated last month
• CUHK-SE-Group / GRev
  A lightweight tool for detecting bugs on Graph Database Management Systems
  ☆14Updated last year
• ComplexCodeEval / ComplexCodeEval
  ☆17Updated 3 months ago
• lin-tan / clm
  For our ICSE23 paper "Impact of Code Language Models on Automated Program Repair" by Nan Jiang, Kevin Liu, Thibaud Lutellier, and Lin Tan
  ☆59Updated 4 months ago
• logpai / AutoLog
  AutoLog: A Log Sequence Synthesis Framework for Anomaly Detection [ASE'23]
  ☆37Updated last year
• iSEngLab / AwesomeLearningAPR
  [TOSEM 2023] A Survey of Learning-based Automated Program Repair
  ☆68Updated 9 months ago
• soarsmu / attack-pretrain-models-of-code
  Replication Package for "Natural Attack for Pre-trained Models of Code", ICSE 2022
  ☆43Updated 6 months ago
• gmy2013 / LLM_Comment_Generation
  Source Code for Paper "Large Language Models are Few-Shot Summarizers: Multi-Intent Comment Generation via In-Context Learning"
  ☆15Updated last year
• shuzhenggao / ICL4code
  ☆11Updated last year
• RobustNLP / TestNER
  A toolkit for testing and improving named entity recognition [ESEC/FSE'23]
  ☆11Updated last year
• jiangyanjie / Deep-Learning-Based-Software-Engineering
  ☆21Updated 4 months ago
• soarsmu / VulMaster_
  ☆16Updated last year
• gitbugactions / gitbug-java
  A Reproducible Benchmark of Recent Java Bugs
  ☆32Updated last week
• JohnnyPeng18 / TypeFix
  This is the tool released in ICSE 2024 paper "Domain Knowledge Matters: Improving Prompts with Fix Templates for Repairing Python Type Er…
  ☆15Updated last year
• SEKE-Adversary / CARROT
  Towards Robustness of Deep Program Processing Models – Detection, Estimation and Enhancement
  ☆19Updated 2 years ago
• Ringbo / CCT5
  ☆31Updated 11 months ago
• ZZR0 / ISSTA22-CodeStudy
  This repo illustrates how to evaluate the artifacts in the paper An Extensive Study on Pre-trained Models for Program Understanding and G…
  ☆25Updated 2 years ago
• reddy-lab-code-research / CodeAttack
  Code for the AAAI 2023 paper "CodeAttack: Code-based Adversarial Attacks for Pre-Trained Programming Language Models
  ☆26Updated last year
• Dianshu-Liao / AAA-Code-Generation-Framework-for-Code-Repository-Local-Aware-Global-Aware-Third-Party-Aware
  ☆18Updated last year
• shangqing-liu / ContraBERT
  Enhacing Code Pre-trained Models by Contrastive Learning
  ☆33Updated last year
• saikat107 / NatGen
  ☆40Updated 2 years ago
• antonio-mastropaolo / LANCE
  ☆10Updated 3 years ago
• lin-tan / llm-vul
  For our ISSTA23 paper "How Effective are Neural Networks for Fixing Security Vulnerabilities?" by Yi Wu, Nan Jiang, Hung Viet Pham, Thiba…
  ☆31Updated last year
• yangzhou6666 / Beyond-Accurate-Code-Models
  A collection of publications that works on code models but beyond focusing on the accuracies.
  ☆13Updated last year
• yangzhou6666 / adversarial-backdoor-for-code-models
  ☆13Updated 4 months ago
• lin-tan / eagle
  For our ICSE22 paper "EAGLE: Creating Equivalent Graphs to Test Deep Learning Libraries" by Jiannan Wang, Thibaud Lutellier, Shangshu Qia…
  ☆13Updated last year
• eth-sri / sven
  ☆101Updated 7 months ago
• BuiltOntheRock / FSE22_BuiltOntheRock
  ☆24Updated 2 years ago
• EngineeringSoftware / teco
  TeCo: an ML+Execution model for test completion
  ☆31Updated 8 months ago
• nju-websoft / DraCo
  Dataflow-guided retrieval augmentation for repository-level code completion, ACL 2024 (main)
  ☆21Updated 8 months ago