eprintid: 9364
rev_number: 8
eprint_status: archive
userid: 2098
dir: disk0/00/00/93/64
datestamp: 2024-09-23 08:14:41
lastmod: 2024-09-23 08:14:41
status_changed: 2024-09-23 08:14:41
type: article
metadata_visibility: show
contact_email: repository@staff.ukdw.ac.id
creators_name: , Rosa Delima
creators_name: , Retantyo Wardoyo
creators_name: , Khabib Mustofa
creators_id: 0228107401
title: REQUIREMENTS CONFLICT DETECTION AND RESOLUTION IN AREM USING INTELLIGENCE SYSTEM APPROACH
ispublished: pub
subjects: QA76
subjects: T1
divisions: fak_tein
full_text_status: public
keywords: Requirements engineering; AREM; conflict detection; conflict resolution; intelligence agent; weight product; rule-based; K-means clustering
abstract: Requirements engineering (RE) is the process of defining user requirements that are used as the main reference in the system development process. The quality of the RE results is measured based on the consistency and completeness of the requirements. The collection of requirements from multiple stakeholders can cause requirements conflict and have an impact on the inconsistency and incompleteness of the resulting requirements model. In this study, a method for automatic conflict detection and resolution in the Automatic Requirements Engineering Model (AREM) was developed. AREM is a model that automates the process of elicitation, analysis, validation, and requirements specification. The requirement conflict detection method was developed using an intelligent agent approach combined with a Weighted Product approach. Meanwhile, Conflict resolution is made automatically using a rule-based model and clustering method. Testing the ability of the method to detect and resolve conflicting requirements was carried out through five data sets of requirements from five system development projects. Based on the test results, it is known that the system is able to produce a set of objects that have conflicts in the data requirements. For conflict resolution, experiments were conducted with five conflict resolution scenarios. The experimental results show that the method is able to resolve conflicts by producing the highest completeness value, but the results of conflict resolution also produce a number of soft goals. The success of the method in detecting and resolving conflicts in the model is able to overcome the problem of inconsistencies and incompleteness in the requirements model.
date: 2022-11
publication: JUITA: Jurnal Informatika
volume: 10
number: 2
publisher: Universitas Muhamadiyah Purwokerto
pagerange: 191-200
id_number: doi:10.30595/juita.v10i2.14855
refereed: TRUE
issn: 2579-8901
official_url: http://dx.doi.org/10.30595/juita.v10i2.14855
funders: rosadelima@staff.ukdw.ac.id
citation:   Rosa Delima and Retantyo Wardoyo and Khabib Mustofa  (2022) REQUIREMENTS CONFLICT DETECTION AND RESOLUTION IN AREM USING INTELLIGENCE SYSTEM APPROACH.  JUITA: Jurnal Informatika, 10 (2).  pp. 191-200.  ISSN 2579-8901     
document_url: https://katalog.ukdw.ac.id/9364/1/Requirements%20Conflict%20Detection%20and%20Resolution%20in%20AREM.pdf