- Title
- Resource optimization‐based software risk reduction model for large‐scale application development
- Creator
- Shahzad, Basit; Amin, Fazal-e; Abro, Ahsanullah; Imran, Muhammad; Shoaib, Muhammad
- Date
- 2021
- Type
- Text; Journal article
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/185774
- Identifier
- vital:16764
- Identifier
-
https://doi.org/10.3390/su13052602
- Identifier
- ISBN:2071-1050 (ISSN)
- Abstract
- Software risks are a common phenomenon in the software development lifecycle, and risks emerge into larger problems if they are not dealt with on time. Software risk management is a strategy that focuses on the identification, management, and mitigation of the risk factors in the software development lifecycle. The management itself depends on the nature, size, and skill of the project under consideration. This paper proposes a model that deals with identifying and dealing with the risk factors by introducing different observatory and participatory project factors. It is as-sumed that most of the risk factors can be dealt with by doing effective business processing that in response deals with the orientation of risks and elimination or reduction of those risk factors that emerge over time. The model proposes different combinations of resource allocation that can help us conclude a software project with an extended amount of acceptability. This paper presents a Risk Reduction Model, which effectively handles the application development risks. The model can syn-chronize its working with medium to large‐scale software projects. The reduction in software failures positively affects the software development environment, and the software failures shall re-duce consequently. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
- Publisher
- MDPI
- Relation
- Sustainability (Switzerland) Vol. 13, no. 5 (2021), p. 1-17
- Rights
- All metadata describing materials held in, or linked to, the repository is freely available under a CC0 licence
- Rights
- https://creativecommons.org/licenses/by/4.0/
- Rights
- Copyright © 2021 by the authors
- Rights
- Open Access
- Subject
- MD Multidisciplinary; Large‐scale project; Large‐scale risk; Risk reduction model; Software risk
- Full Text
- Reviewed
- Funder
- This research was funded by Deanship of Scientific Research at King Saud University, RG‐1441‐490.
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