TY - GEN
T1 - BPMN2 User Story
T2 - 8th International Conference and Workshop on Basic and Applied Science, ICOWOBAS 2021
AU - Al Ghiffari, Kinara
AU - Fariqi, Hisyam
AU - Rahmatullah, M. Dani
AU - Zulfikarsyah, M. Reza
AU - Syarwan Evendi, M. Roziq
AU - Fathoni, Tanvi Azmia
AU - Giarfina, Nesa
AU - Zaman, Badrus
AU - Raharjana, Indra Kharisma
N1 - Publisher Copyright:
© 2022 American Institute of Physics Inc.. All rights reserved.
PY - 2022/1/25
Y1 - 2022/1/25
N2 - User stories and BPMN are valuable artifacts in requirements elicitation because of their ease of presenting a conceptual model that encourages communication and knowledge sharing. Process innovation in the software requirements can be enabled by associating user stories and BPMN. In this study, we propose to derive a collection of user stories from a BPMN diagram. Scrum method was applied during development and Part of Speech Tagging (POS Tagging) was applied to specify aspect of WHO and WHAT. We identify the elements in the BPMN diagram and correlate them with the user story elements to then convert the information in the BPMN into user stories. The dataset is obtained by collecting BPMN diagrams available on the internet and converting them into user stories. Our evaluation is done by comparing the results of humans’ annotator with the system. We managed to obtain precision, recall and F-measure of 0.74, 0.66 and 0.69 on average. In user story extraction, aspects of WHO and WHAT were successfully obtained from BPMN, while aspects of WHY were not detected in BPMN attributes.
AB - User stories and BPMN are valuable artifacts in requirements elicitation because of their ease of presenting a conceptual model that encourages communication and knowledge sharing. Process innovation in the software requirements can be enabled by associating user stories and BPMN. In this study, we propose to derive a collection of user stories from a BPMN diagram. Scrum method was applied during development and Part of Speech Tagging (POS Tagging) was applied to specify aspect of WHO and WHAT. We identify the elements in the BPMN diagram and correlate them with the user story elements to then convert the information in the BPMN into user stories. The dataset is obtained by collecting BPMN diagrams available on the internet and converting them into user stories. Our evaluation is done by comparing the results of humans’ annotator with the system. We managed to obtain precision, recall and F-measure of 0.74, 0.66 and 0.69 on average. In user story extraction, aspects of WHO and WHAT were successfully obtained from BPMN, while aspects of WHY were not detected in BPMN attributes.
UR - http://www.scopus.com/inward/record.url?scp=85147269754&partnerID=8YFLogxK
U2 - 10.1063/5.0103685
DO - 10.1063/5.0103685
M3 - Conference contribution
AN - SCOPUS:85147269754
T3 - AIP Conference Proceedings
BT - 8th International Conference and Workshop on Basic and Applied Science, ICOWOBAS 2021
A2 - Wibowo, Anjar Tri
A2 - Mardianto, M. Fariz Fadillah
A2 - Rulaningtyas, Riries
A2 - Sakti, Satya Candra Wibawa
A2 - Imron, Muhammad Fauzul
A2 - Ramadhan, Rico
PB - American Institute of Physics Inc.
Y2 - 25 August 2021 through 26 August 2021
ER -
