Datasetpublic

MSHD-IAU/FNFC-Functional_Non-Functional_Calssification

FNFC: Functional & Non-Functional Requirements Classification Dataset Link: Hugging Face – FNFC Dataset 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, ensuring high-quality annotations through expert review. Data… See the full description on the dataset page: https://huggingface.co/datasets/MSHD-IAU/FNFC-Functional_Non-Functional_Calssification.

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Dataset Card

FNFC: Functional & Non-Functional Requirements Classification Dataset

Link: Hugging Face – FNFC Dataset

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, 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

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