Update README.md

README.md

@@ -7,4 +7,108 @@ sdk: static
 pinned: false
 ---
 
-Edit this `README.md` markdown file to author your organization card.
+# OSS-forge
+
+**OSS-Forge** is an open research initiative focused on *trustworthy, secure, and transparent AI-assisted software engineering*.  
+We develop and publish:
+
+- **static and dynamic analyzers** for AI-generated code  
+- **benchmarks and datasets** for software vulnerabilities, defects, exploits, and shellcode  
+- **evaluation frameworks** for correctness, robustness, and data poisoning  
+- **models and reproducible pipelines** for secure code generation  
+- **experimental tools and artifacts** from peer-reviewed scientific publications  
+
+Our mission is to build a transparent, verifiable, and secure ecosystem for integrating Large Language Models (LLMs) into software development, especially in safety-critical and security-sensitive contexts.
+
+---
+
+## What You Will Find Here
+
+This organization hosts resources from multiple research projects and publications in AI security, software engineering, and code generation. Current categories include:
+
+### Static Analyzers & Security Tools
+- **DeVAIC** – Fast static analysis for detecting vulnerabilities in Python code  
+- **PatchitPy** – Automated patching of vulnerable Python code via pattern-based transformations  
+- **ACCA** – Automated correctness assessment of AI-generated code using symbolic execution  
+
+### Datasets for Security & Software Engineering
+- **PyResBugs** – 5,007 residual Python bugs with NL descriptions  
+- **Shellcode_IA32** – The largest curated dataset of IA-32 shellcode snippets (3 versions)  
+- **PoisonPy** – Dataset supporting targeted data-poisoning attacks  
+- **Human vs AI Code** – Defects, vulnerabilities, and complexity analysis at scale  
+- **EVIL datasets** – Exploit generation datasets (assembly & Python)
+
+### Robustness, Poisoning & Exploit Generation
+- **Offensive Code Generation Robustness** – Data augmentation framework  
+- **Context-Aware Exploits** – Benchmark for NL-to-exploit generation  
+- **AI Code Generator Poisoning** – Targeted poisoning pipelines and evaluation  
+
+All repositories include code, experimental scripts, datasets, and reproducibility materials.
+
+---
+
+## Research Themes
+
+Our work spans four interconnected areas:
+
+1. **Security of AI-generated Code**  
+   Vulnerability detection, automated patching, exploit generation, robustness testing.
+
+2. **Trustworthy LLM Evaluation**  
+   Correctness, equivalence checking, symbolic execution, reproducible benchmarks.
+
+3. **Software Engineering with AI**  
+   Defect analysis, complexity metrics, orthogonal defect classification (ODC).
+
+4. **Adversarial ML for Code Models**  
+   Data poisoning, robustness stress-testing, unsafe pattern injection.
+
+All research artifacts are peer-reviewed and associated with publications at DSN, ISSRE, ICPC, IST, EMSE, JSS, AUSE, and other venues.
+
+---
+
+## Publications Powered by These Repositories
+
+A non-exhaustive list includes works presented at:
+
+- **IEEE/IFIP DSN**
+- **IEEE ISSRE**
+- **IEEE/ACM ICPC**
+- **Empirical Software Engineering (EMSE)**
+- **Information and Software Technology (IST)**
+- **Automated Software Engineering (AUSE)**
+- **Journal of Systems and Software (JSS)**
+- **NLP4Prog Workshop**
+
+Full references are available inside each corresponding repository.
+
+---
+
+## Contributing
+
+We encourage contributions from the research and practitioner community.
+
+You can contribute by:
+
+- submitting new datasets  
+- improving static analysis rules  
+- adding benchmarks or experimental scripts  
+- reporting issues or proposing new features  
+
+Please open discussions or pull requests inside the relevant repository.
+
+---
+
+## Contact
+
+OSS-Forge is developed by a joint research team from the **University of North Carolina at Charlotte (UNCC)** and the **University of Naples Federico II**.
+
+### Scientific Leadership
+- Prof. [Domenico Cotroneo](https://webpages.charlotte.edu/dcotrone/) — UNCC
+
+### Core Research Contributors
+- Dr. [Pietro Liguori](http://wpage.unina.it/pietro.liguori/) — University of Naples Federico II
+- [Cristina Improta](http://wpage.unina.it/cristina.improta/) — University of Naples Federico II  
+- Ph.D. students and graduate researchers and contributors from the DESSERT Research group — University of Naples Federico II 
+
+---