| # FNFC: Functional & Non-Functional Requirements Classification Dataset |
|
|
| **Link:** [Hugging Face – FNFC Dataset](https://huggingface.co/datasets/Mashhad-Azad-University/FNFC-Functional_Non-Functional_Classification) |
|
|
| ## Overview |
| The FNFC dataset is a labeled collection of **7,060 software requirement statements** categorized into **14 requirement classes**, designed for research and modeling in requirements classification. It was created by refining and re-labeling the **Fault-prone SRS Dataset** from [Kaggle](https://www.kaggle.com), ensuring high-quality annotations through expert review. |
|
|
| ## Data Collection & Labeling |
| The labeling process was carried out by **five professionals** with expertise in software project leadership, systems analysis, or software requirements engineering: |
|
|
| - **2 experts** with over **10 years** of experience |
| - **3 experts** with **2–3 years** of experience in requirements engineering |
|
|
| Each expert received: |
| - A **questionnaire** |
| - Relevant **documentation** |
| - Clear labeling **criteria** for identifying functional and non-functional requirements |
|
|
| Experts were given **20 days** to complete labeling at their own pace. Each record was assigned to one of the following classes: |
|
|
| ### Classes |
| - **F** – Functional Requirements |
| - **A** – Availability |
| - **AU** – Autonomy |
| - **FT** – Fault Tolerance |
| - **LF** – Look and Feel |
| - **LL** – Legal & Licensing |
| - **M** – Maintainability |
| - **O** – Inter-Operability |
| - **P** – Portability |
| - **PE** – Performance |
| - **R** – Reliability |
| - **SC** – Scalability |
| - **SE** – Security |
| - **US** – Usability |
|
|
| ## Dataset Structure |
| | Field | Description | |
| |-------------|-------------| |
| | `id` | Unique record identifier | |
| | `requirement` | Requirement statement text | |
| | `label` | One of the 14 defined classes | |
|
|
|
|
|
|
| ## Purpose |
| The dataset provides a robust benchmark for: |
| - Machine learning models for requirements classification |
| - Natural language processing experiments in software engineering |
| - Studies comparing classification methods for functional vs. non-functional requirements |
|
|
| ## Access |
| The dataset is publicly available: |
| [Hugging Face – FNFC Dataset](https://huggingface.co/datasets/Mashhad-Azad-University/FNFC-Functional_Non-Functional_Classification) |
|
|
| ## Citation |
| If you use this dataset in academic research, please cite: |
|
|
| ```bibtex |
| @dataset{fnfc_dataset_2025, |
| title={FNFC: Functional & Non-Functional Requirements Classification Dataset}, |
| author={Mashhad Azad University}, |
| year={2025}, |
| url={https://huggingface.co/datasets/Mashhad-Azad-University/FNFC-Functional_Non-Functional_Classification} |
| } |
| |
| ## Contact |
| Created by Mahdi Kabootari & Younes Abdeahad |
| |
| 📬 kabootarimahdi2@gmail.com |
| 📬 abdeahad.y3@gmail.com |
| 📬 e.kheirkhah@gmail.com |
| |
| ``` |
|
|
