A box analogy technique (BoAT) for agile-based modelling of business processes

DA SILVA, Carlos Eduardo, MEDEIROS, Leisia, JUSTINO, Yan and GOMES, Eduardo Luiz (2022). A box analogy technique (BoAT) for agile-based modelling of business processes. In: 2022 IEEE 30th International Requirements Engineering Conference (RE). IEEE.

Preview

PDF 2022-IEEE_RE-BoAT-CameraReady.pdf - Accepted Version All rights reserved. Download (556kB) | Preview

Abstract

This paper reports on our experience on developing the Box Analogy Technique (BoAT) an agile-based approach to extract business process models as part of the requirements elicitation phase. Business processes models have been established as an effective way of capturing and reasoning about organizational operational processes, and although having been used as part of requirements elicitation, their definition is a heavy process not aligned with agile principles. BoAT provides a complement for requirements gathering based on agile practices for process modelling combined with a cognitive-visual analogy focused on business view. The technique has been applied in three public and private organizations in a Brazilian state capital, and its artefacts have been compared against those obtained through a traditional interview technique. Results show that BoAT has indeed improved the communication with stakeholders, increasing the quality of the collected artefacts.

Item Type:	Book Section
Additional Information:	Electronic ISSN: 2332-6441 © 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Identification Number:	https://doi.org/10.1109/re54965.2022.00029
SWORD Depositor:	Symplectic Elements
Depositing User:	Symplectic Elements
Date Deposited:	10 Nov 2022 16:52
Last Modified:	12 Oct 2023 09:15
URI:	https://shura.shu.ac.uk/id/eprint/31009

Actions (login required)

View Item

Downloads

Publication Metrics