1.0 The user shall enter a set of performance requirement. 2.0 The user shall meet the IEEE 29148 stander. 3.0 the system shall use spaCy pretrained natural language medium model, feature extraction techniques were applied on the processed performance requirements list to identify the assets, impacts , and performance properties. 3.1 the system shall show the extracted feature on the extracted list. 4.0 The system shall calculate the total score For each Performance requirement based on the number of assets, impact, and performance property present in the said performance requirement. 5.0 The system shall use the spaCy Word2Vec text similarity algorithm to calculate for similarity of the requirements with the Super-sentence for ALTRSERC table that was defined earlier by the requirement engineer. 5.1 the system shall calculate the weight of 1 was added to each ALTRSERC property that appears in the performance requirement, based on a similarity of at least 90% to each super-sentence otherwise 0. 6.0 The system shall sum the total count of ALTRSERC similarity weight and the total count of assets, impact , and performance property becomes the priority score of the performance requirement. 7.0 The system shall return to the user a table with the ranked requirements in Descending Order. 8.0 The system shall be able to learn from user feedback and improve its prioritization way by storing the user’s words over time." Based on these requirements can you draw a sequence digram ?
"1.0 The user shall enter a set of performance requirement.
2.0 The user shall meet the IEEE 29148 stander.
3.0 the system shall use spaCy pretrained natural language medium model, feature extraction techniques were applied on the processed performance requirements list to identify the assets, impacts , and performance properties.
3.1 the system shall show the extracted feature on the extracted list.
4.0 The system shall calculate the total score For each
Performance requirement based on the number of assets, impact, and performance property present in the said performance requirement.
5.0 The system shall use the spaCy Word2Vec text similarity
5.1 the system shall calculate the weight of 1 was added to each ALTRSERC property that appears in the performance requirement, based on a similarity of at least 90% to each super-sentence otherwise 0.
6.0 The system shall sum the total count of ALTRSERC similarity weight and the total count of assets, impact , and performance property becomes the priority score of the performance requirement.
7.0 The system shall return to the user a table with the ranked requirements in Descending Order.
8.0 The system shall be able to learn from user feedback and improve its prioritization way by storing the user’s words over time." Based on these requirements can you draw a sequence digram ?
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