risk assessment and management
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2022 ◽  
Vol 27 (1) ◽  
pp. 1
Liu Liu ◽  
Jingmian Zhang ◽  
Mark K. Ferguson ◽  
Daniel Appelbaum ◽  
James X. Zhang ◽  

2022 ◽  
Md Aluaddin ◽  
Faisal Khan ◽  
Salim Ahmed ◽  
Syed Imtiaz ◽  
Paul Amyotte ◽  

2022 ◽  
Vol 1211 (1) ◽  
pp. 012001
O K Nikolsky ◽  
Yu D Shlionskaya ◽  
M A Gabova ◽  
A N Kachanov ◽  
V A Chernyshov

Abstract This article lists the principles of fire risk assessment and management of electrical installations, provides the main terms used in this subject area, and their meanings. The article also talks about factors affecting the magnitude of fire risk (risk-forming factors). Special attention is paid to the human factor. Formulas for probabilistic assessment of fire risks of electrical installations and an algorithm for assessing the fire hazard of electrical installations, as well as a scheme of the algorithm for calculating individual fire risk are given.

2022 ◽  
pp. 2082-2104
Priyanka Chandani ◽  
Chetna Gupta

Risk assessment and management practice is an organized way to identify, analyze, and assess the impacts of risks and mitigate them when they arise. Risk can occur in any phase of software development and is a significant step for better supervision of threats. The purpose of this study is to identify and analyze existing risk assessment and management techniques from a historical perspective that address and study risk management and perception of risk. The chapter presents extensive summary of existing literature on various techniques and approaches related to requirements defects, defect taxonomy, its classification, and its potential impact on software development as the main contributions of this research work. The primary objective of this study was to present a systematic literature review of techniques/methods/tools for risk assessment and management. This research successfully identifies and discovers existing risk assessment and management techniques, their limitations, taxonomies, processes, and identifies possible improvements for better defect identification and prevention.

2021 ◽  
Vol 21 (12) ◽  
pp. 3873-3877
Jonathan Rizzi ◽  
Ana M. Tarquis ◽  
Anne Gobin ◽  
Mikhail Semenov ◽  
Wenwu Zhao ◽  

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