Software Risk Management Approaches in Large-Scale Systems: A Critical Examination

Sushil Bhardwaj

doi:10.55524/ijircst.2022.10.2.36

Abstract

For a long time, software industry researchers have worked on risk supervision solutions. Software risk supervision is a computer engineering technique that includes identifying risks, estimating risks, mitigating risks, and monitoring them. It provides a structured framework in which to make informed decisions about software development issues. Because of its complexity, measuring risks in a large-scale system is more challenging. Large-scale systems are difficult to build since numerous hazards may emerge throughout the process. Risk factors in large-scale systems vary from those in small systems, particularly in terms of independent components. This article explains the distinction among high-level and low-level system, as well as a comprehensive list of risk variables. The tools from the literature are further classified into subcategories based on their suitability. We provide a thorough comparison study of several software associated risk supervision replicas with certain frequently recognized characteristics, and then classify them depending on the strictness of the respective hazards.

Keywords

Risk supervision, High-level System, Risk Issues, Risk Supervision Tool.

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Cites this article as

S. Bhardwaj "Software Risk Management Approaches in Large-Scale Systems: A Critical Examination", International Journal of Innovative Research in Computer Science and Technology (IJIRCST), Vol-10, Issue-2, Page No-179-184, 2022. Available from: https://doi.org/10.55524/ijircst.2022.10.2.36

Corresponding Author

Sushil Bhardwaj

Assistant Professor, Department of Computer Applications, RIMT University, Mandi Gobindgarh, Punjab, India

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