TY - GEN
T1 - Software Requirement-Related Information Extraction from Online News using Domain Specificity for Requirements Elicitation
T2 - 10th International Conference on Software and Computer Applications, ICSCA 2021
AU - Rahmi Dewi, Mutia
AU - Kharisma Raharjana, Indra
AU - Siahaan, Daniel
AU - Fatichah, Chastine
N1 - Publisher Copyright:
© 2021 ACM.
PY - 2021/2/23
Y1 - 2021/2/23
N2 - Stakeholder involvement is vital in the requirements elicitation process. However, a lack of stakeholder involvement in the project often occurs. Various data sources, such as business processes and software documentation, will help determine what stakeholders need. The limitation of these documents is that they are technical and do not contain numerous stakeholder's needs. This paper aims to extract information related to software requirements from online news using domain specificity. The online news comprises elements that compose the user story, namely: the aspect of who (stakeholder), the aspect of what (functional), and the aspect of why (reason). User stories are standard practices used to capture and write functional software requirements in agile software development. This paper proposes to use domain specificity to extract aspects of what from online news to increase understanding of domain knowledge, especially software functionality. We use SRS documents and online news as data sources. Based on these datasets, domain specificity is calculated to produce software specific vocabulary. POS tags are being used to extract software requirements-related information from online news. When examining two datasets, our approach improved precision and recall with average values of 0.56 and 0.579.
AB - Stakeholder involvement is vital in the requirements elicitation process. However, a lack of stakeholder involvement in the project often occurs. Various data sources, such as business processes and software documentation, will help determine what stakeholders need. The limitation of these documents is that they are technical and do not contain numerous stakeholder's needs. This paper aims to extract information related to software requirements from online news using domain specificity. The online news comprises elements that compose the user story, namely: the aspect of who (stakeholder), the aspect of what (functional), and the aspect of why (reason). User stories are standard practices used to capture and write functional software requirements in agile software development. This paper proposes to use domain specificity to extract aspects of what from online news to increase understanding of domain knowledge, especially software functionality. We use SRS documents and online news as data sources. Based on these datasets, domain specificity is calculated to produce software specific vocabulary. POS tags are being used to extract software requirements-related information from online news. When examining two datasets, our approach improved precision and recall with average values of 0.56 and 0.579.
KW - POS tagging
KW - online news
KW - software requirement-related information
KW - software-specific vocabulary
KW - user stories
UR - http://www.scopus.com/inward/record.url?scp=85112297979&partnerID=8YFLogxK
U2 - 10.1145/3457784.3457796
DO - 10.1145/3457784.3457796
M3 - Conference contribution
AN - SCOPUS:85112297979
T3 - ACM International Conference Proceeding Series
SP - 81
EP - 87
BT - 2021 10th International Conference on Software and Computer Applications, ICSCA 2021
PB - Association for Computing Machinery
Y2 - 23 February 2021 through 26 February 2021
ER -