Data-driven Requirements Modeling: Some Initial Results with i*
| dc.contributor.author | Ghose, Aditya | |
| dc.contributor.author | Santiputri, Metta | |
| dc.contributor.author | Saraswati, Ayu | |
| dc.contributor.author | Dam, Hoa Khanh | |
| dc.date.accessioned | 2023-06-28T04:25:31Z | |
| dc.date.available | 2023-06-28T04:25:31Z | |
| dc.date.issued | 2014-01-20 | |
| dc.description.abstrak | Requirements acquisition is widely recognized as a hard problem, requiring significant investments in time and effort. Given the availability of large vol- umes of data and of relatively cheap instrumentation for data acquisition, this paper explores the prospect of data-driven model extraction in the context of i* models. The paper presents techniques for extracting dependencies from message logs, and for extracting task-dependency correlations from process logs. The preliminary empirical results are encouraging. | en_US |
| dc.identifier.isbn | 978-1-921770-36-4 | |
| dc.identifier.issn | 1445-1336 | |
| dc.identifier.uri | https://repository.polibatam.ac.id/xmlui/handle/123456789/1714 | |
| dc.language.iso | en | en_US |
| dc.publisher | Australian Computer Society Inc. | en_US |
| dc.relation.ispartofseries | Proceedings of the 10th Asia Pacific Conference on Conceptual Modelling (APCCM 2014); | |
| dc.subject | Requirements acquisition | en_US |
| dc.subject | data-driven model extraction | en_US |
| dc.subject | i* model | en_US |
| dc.title | Data-driven Requirements Modeling: Some Initial Results with i* | en_US |
| dc.type | Article | en_US |