File size: 2,830 Bytes
7f34314 9db9512 7f34314 e8e10ac ff84013 e8e10ac 7f34314 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 | # 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
```
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