Enhancing high-quality user stories with AQUSA: An overview study of data cleaning process
Agile software development has ended up profoundly prevalent over the final two decades. In conjunction with the increment of these methodology, amount of scientific research on this topic has also increased. This research concentrates on one component from Agile software development which is User S...
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| Format: | Conference or Workshop Item |
| Language: | English |
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IEEE
2021
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| Online Access: | http://umpir.ump.edu.my/id/eprint/44774/ http://umpir.ump.edu.my/id/eprint/44774/1/Enhancing_High-Quality_User_Stories_with_AQUSA_An_Overview_Study_of_Data_Cleaning_Process.pdf |
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| author | Siti Nur Fathin Najwa, Mustaffa Jamaludin, Sallim Rozlina, Mohamed |
| author_facet | Siti Nur Fathin Najwa, Mustaffa Jamaludin, Sallim Rozlina, Mohamed |
| author_sort | Siti Nur Fathin Najwa, Mustaffa |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | Agile software development has ended up profoundly prevalent over the final two decades. In conjunction with the increment of these methodology, amount of scientific research on this topic has also increased. This research concentrates on one component from Agile software development which is User Stories (US). In a recent paper, quality framework for User Stories was proposed together with a tool implementing which is still minimal finding to achieve high quality of user story document. It is closely related to the data requirement as part of the success factor in development project. The main goal is to analyze US requirement written and identification of potential errors in datasets that bring the effectiveness in forecasting the quality of User Stories for monitoring purpose. One of the steps require to identify the quality User Stories is by the route passing through data cleaning process. The research analysis considers performing data cleaning and pre-processing towards existing dataset of user story requirement from open-source agile software projects. Results of analyzing the User Stories will reveal the possibility step of data cleaning as initial step to extend the AQUSA tools and forecast the quality of User Stories. Thus, it can be related to the requirements quality based on the number of issues report in the dataset where highest number of issues report can be categorized as poor requirement statement. |
| first_indexed | 2025-11-15T03:56:36Z |
| format | Conference or Workshop Item |
| id | ump-44774 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T03:56:36Z |
| publishDate | 2021 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-447742025-06-11T06:03:43Z http://umpir.ump.edu.my/id/eprint/44774/ Enhancing high-quality user stories with AQUSA: An overview study of data cleaning process Siti Nur Fathin Najwa, Mustaffa Jamaludin, Sallim Rozlina, Mohamed QA75 Electronic computers. Computer science Agile software development has ended up profoundly prevalent over the final two decades. In conjunction with the increment of these methodology, amount of scientific research on this topic has also increased. This research concentrates on one component from Agile software development which is User Stories (US). In a recent paper, quality framework for User Stories was proposed together with a tool implementing which is still minimal finding to achieve high quality of user story document. It is closely related to the data requirement as part of the success factor in development project. The main goal is to analyze US requirement written and identification of potential errors in datasets that bring the effectiveness in forecasting the quality of User Stories for monitoring purpose. One of the steps require to identify the quality User Stories is by the route passing through data cleaning process. The research analysis considers performing data cleaning and pre-processing towards existing dataset of user story requirement from open-source agile software projects. Results of analyzing the User Stories will reveal the possibility step of data cleaning as initial step to extend the AQUSA tools and forecast the quality of User Stories. Thus, it can be related to the requirements quality based on the number of issues report in the dataset where highest number of issues report can be categorized as poor requirement statement. IEEE 2021 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/44774/1/Enhancing_High-Quality_User_Stories_with_AQUSA_An_Overview_Study_of_Data_Cleaning_Process.pdf Siti Nur Fathin Najwa, Mustaffa and Jamaludin, Sallim and Rozlina, Mohamed (2021) Enhancing high-quality user stories with AQUSA: An overview study of data cleaning process. In: Proceedings - 2021 International Conference on Software Engineering and Computer Systems and 4th International Conference on Computational Science and Information Management, ICSECS-ICOCSIM 2021. 7th International Conference on Software Engineering and Computer Systems and 4th International Conference on Computational Science and Information Management, ICSECS-ICOCSIM 2021 , 24-26 Aug. 2021 , Pekan, Malaysia. pp. 295-300. (171807). ISBN 978-1-6654-1407-4 (Published) https://doi.org/10.1109/ICSECS52883.2021.00060 |
| spellingShingle | QA75 Electronic computers. Computer science Siti Nur Fathin Najwa, Mustaffa Jamaludin, Sallim Rozlina, Mohamed Enhancing high-quality user stories with AQUSA: An overview study of data cleaning process |
| title | Enhancing high-quality user stories with AQUSA: An overview study of data cleaning process |
| title_full | Enhancing high-quality user stories with AQUSA: An overview study of data cleaning process |
| title_fullStr | Enhancing high-quality user stories with AQUSA: An overview study of data cleaning process |
| title_full_unstemmed | Enhancing high-quality user stories with AQUSA: An overview study of data cleaning process |
| title_short | Enhancing high-quality user stories with AQUSA: An overview study of data cleaning process |
| title_sort | enhancing high-quality user stories with aqusa: an overview study of data cleaning process |
| topic | QA75 Electronic computers. Computer science |
| url | http://umpir.ump.edu.my/id/eprint/44774/ http://umpir.ump.edu.my/id/eprint/44774/ http://umpir.ump.edu.my/id/eprint/44774/1/Enhancing_High-Quality_User_Stories_with_AQUSA_An_Overview_Study_of_Data_Cleaning_Process.pdf |