| --- |
| language: |
| - en |
|
|
| library_name: transformers |
| pipeline_tag: text-classification |
|
|
| base_model: distilbert/distilbert-base-uncased |
| base_model_relation: finetune |
|
|
| datasets: |
| - devleoespinosa/qus-user-story-quality-refined |
|
|
| tags: |
| - distilbert |
| - transformers |
| - text-classification |
| - requirements-engineering |
| - software-engineering |
| - user-stories |
| - qus |
| - quality-assessment |
| - natural-language-processing |
| --- |
| |
| ## Model Description |
|
|
| This repository contains a fine-tuned DistilBERT model for the automated assessment of the **Conceptually Sound** criterion of the Quality User Story (QUS) framework. |
|
|
| The model performs binary text classification to determine whether the components of a user story are conceptually consistent. Under QUS, the means of the story should describe a feature or desired functionality, while the optional ends should express the rationale or benefit associated with that functionality. |
|
|
| A violation may occur when these components do not fulfill their intended semantic roles or when the relationship between the requested functionality and its rationale is conceptually inconsistent. |
|
|
| The model was developed as part of the study **"Fine-Tuned DistilBERT for Automated User Story Quality Assessment"**. |
|
|
| ### Classification task |
|
|
| - **Input:** A user story written in natural language. |
| - **Output:** Binary classification indicating compliance with the Conceptually Sound criterion. |
| - **Correct:** The requested functionality and its rationale fulfill their expected semantic roles and form a conceptually coherent requirement. |
| - **Incorrect:** The story contains a conceptual inconsistency between its components or uses them for inappropriate semantic purposes. |
|
|
| This model is one of eight criterion-specific DistilBERT models developed for the individual quality criteria of the QUS framework. |
