Determining Non-Functional Requirements through Requirements Engineering Artefacts Analysis using Machine Learning. -- 2
Budget: $30 – $250 USD
Objective(s) of project:
1. To analyze the similarities and differences in related works of Safety, Availability (A), Fault Tolerance (FT), Legal & Licensing (L), Look & Feel (LF), Maintainability (MN), Operability (O), Performance (PE), Portability (PO), Scalability (SC), Security (SE), Usability (US), Non-Functional Requirements detection.
2. To develop a Non-Functional Requirements Detection Model using NLP technique for features extraction and Machine Learning algorithm (Improved SVM-RBF, SVM linear, SVM polynomial with Decision tree and KNN) for classification.
3. Also you have to tell me how to do the preprocessing.
4. To evaluate the performance of the model based on Accuracy, Precision, Recall, and F-Measure metrics.
PLease see the attached file for more details.
1. To analyze the similarities and differences in related works of Safety, Availability (A), Fault Tolerance (FT), Legal & Licensing (L), Look & Feel (LF), Maintainability (MN), Operability (O), Performance (PE), Portability (PO), Scalability (SC), Security (SE), Usability (US), Non-Functional Requirements detection.
2. To develop a Non-Functional Requirements Detection Model using NLP technique for features extraction and Machine Learning algorithm (Improved SVM-RBF, SVM linear, SVM polynomial with Decision tree and KNN) for classification.
3. Also you have to tell me how to do the preprocessing.
4. To evaluate the performance of the model based on Accuracy, Precision, Recall, and F-Measure metrics.
PLease see the attached file for more details.
Related categories:
Python
Algorithm
Machine Learning (ML)
Software Development
Software Engineering