JOURNAL ARTICLE
V‐model with fuzzy quality function deployments for mobile application development.
Published In: Journal of Software: Evolution & Process, 2023, v. 35, n. 1. P. 1 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Lim, Chong Hon; Chin, Jeng Feng 3 of 3
Abstract
Mobile application (app) development is a subset of software development distinguished by a short development life cycle, rapidly changing business requirements, mobile device technical specifications, and operating system compatibility. The study presents a V‐model mobile app development technique that combines two fuzzy quality function deployment (FQFD) phases. In mobile app development, user requirements are often misunderstood, resulting in poor mobile app design. The research motivation for employing FQFD is to obtain more accurate deductions of human (user or design team) inputs affected by intrinsic vagueness and ambiguity in linguistics. The combination hence delivers synergistic benefits, where FQFDs more effectively solicits and breaks down the voice of the customer (VOC) and system requirements, and the V‐model aligns the development to the broken‐down requirements. The development of an online statistical process control app was demonstrated. FQFD structurally related user requirements, system requirements, and design strategies in the V‐model's verification phases. The validation phases used test plans created during the verification phases to detect and correct programming errors. In the final validation stage, the focus group agreed that the mobile app met all of the user requirements. This study adds to the methodology's novelty by proposing and demonstrating the integration of the FQFD and V‐model into the development of mobile apps. As a result of the limitation, other areas of software engineering, such as time and resource coordination and release management, are not considered. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Journal of Software: Evolution & Process. 2023/01, Vol. 35, Issue 1, p1
- Document Type:Article
- Subject Area:Business and Management
- Publication Date:2023
- ISSN:2047-7473
- DOI:10.1002/smr.2518
- Accession Number:161131827
- Copyright Statement:Copyright of Journal of Software: Evolution & Process is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Looking to go deeper into this topic? Look for more articles on EBSCOhost.