A Critical Analysis of Software Risk Management Techniques in Large Scale Systems | Zendy

Maruf Pasha | Zendy; Ghazia Qaiser | Zendy; Urooj Pasha | Zendy

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A Critical Analysis of Software Risk Management Techniques in Large Scale Systems

Author(s) -

Maruf Pasha,

Ghazia Qaiser,

Urooj Pasha

Publication year - 2018

Publication title -

ieee access

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.587

H-Index - 127

ISSN - 2169-3536

DOI - 10.1109/access.2018.2805862

Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation

Researchers in the software industry have focused on risk management systems for a long time. Software risk management is a software engineering practice that contains risk identification, risk estimation, mitigation, and monitoring. It delivers a disciplined environment for efficient decision-making to assess the problems in software development. Measuring risks in a large-scale system is comparatively difficult because of its complex nature. Large-scale systems are challenging since many risks can arise during system development. Risk factors in large-scale systems are relatively different from small systems, especially with respect to the independent components. This paper describes a difference between large-scale and small-scale systems along with an exhaustive list of risk factors. The tools from the literature are further divided into sub categories according to those that are best suited. We present a detailed comparative analysis for different software-related risk management models with some commonly identified features and further categorize them into classes based on the severity of their risks.

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