TY - GEN
T1 - User Scenario 2 Seq
T2 - 8th International Conference and Workshop on Basic and Applied Science, ICOWOBAS 2021
AU - Nur, Ahmad Iklil
AU - Fasyadin, Faris
AU - Febriansyah, Imelda Adinda
AU - Yulianto, Muhammad Alvian
AU - Secoria, Ibaneza Griffint
AU - Nagatha, Amelia
AU - Trinaldy, Wilona Fadyah
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 - Generating sequence diagrams from user stories scenario are needed to support improved software developments process. This paper proposed the process innovation of generating sequence diagrams from user stories scenario. The input of this system is user story scenario in form of semi structured format, we constructed User story scenarios adopting from Behat cheat sheet format. The user story scenario is processed by applying natural language processing to identify sequence diagram elements. The output of the system is sequence diagram in form of text code of Plant UML and portable network graphics (PNG) image format. To evaluate the result of study, we are comparing output of the system with manually generated by the groups of system analyst to calculate the accuracy of object creation, message flow, and name of the object identification. The system analysts are asked to create sequence diagram from user story scenario based on predefine rule. The accuracy of object creation, message flow, and name of the object identification respectively are 100%, 100%, and 40%. This application has successfully generated a sequence diagram for knowledge sharing by extracting the control objects, boundary objects, roles, messages, and message flows from the given, when, and then conditions and user stories in the user story scenario.
AB - Generating sequence diagrams from user stories scenario are needed to support improved software developments process. This paper proposed the process innovation of generating sequence diagrams from user stories scenario. The input of this system is user story scenario in form of semi structured format, we constructed User story scenarios adopting from Behat cheat sheet format. The user story scenario is processed by applying natural language processing to identify sequence diagram elements. The output of the system is sequence diagram in form of text code of Plant UML and portable network graphics (PNG) image format. To evaluate the result of study, we are comparing output of the system with manually generated by the groups of system analyst to calculate the accuracy of object creation, message flow, and name of the object identification. The system analysts are asked to create sequence diagram from user story scenario based on predefine rule. The accuracy of object creation, message flow, and name of the object identification respectively are 100%, 100%, and 40%. This application has successfully generated a sequence diagram for knowledge sharing by extracting the control objects, boundary objects, roles, messages, and message flows from the given, when, and then conditions and user stories in the user story scenario.
UR - http://www.scopus.com/inward/record.url?scp=85147286425&partnerID=8YFLogxK
U2 - 10.1063/5.0103696
DO - 10.1063/5.0103696
M3 - Conference contribution
AN - SCOPUS:85147286425
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 -
