scholarly journals Software Risk Management: Using the Automated Tools

2015 ◽  
pp. 85-97 ◽  
Author(s):  
Sergey M. Avdoshin ◽  
Elena Y. Pesotskaya
Keyword(s):  
Risk Management ◽  
Software Risk Management ◽  
Software Risk ◽  
Automated Tools

Software Risk Management

2022 ◽  
pp. 155-181
Author(s):  
Bijan Elahi
Keyword(s):  
Risk Management ◽  
Software Risk Management ◽  
Software Risk

An Empirical Evaluation of Assorted Risk Management Models and Frameworks in Software Development

2020 ◽  
Vol 11 (1) ◽  
pp. 52-62
Author(s):  
Alankrita Aggarwal ◽  
Kanwalvir Singh Dhindsa ◽  
P. K. Suri
Keyword(s):  
Risk Management ◽  
Management Strategies ◽  
Empirical Evaluation ◽  
Software Project ◽  
Key Factors ◽  
Testing Strategies ◽  
Risk Management Strategies ◽  
Benchmark Datasets ◽  
Software Risk Management ◽  
Software Risk

Software risk management is one the key factors in software project management with the goal to improve quality as avoid vulnerabilities. The term defect refers to an imperfection that may arise because of reasons including programmers' skills, lack of suitable testing strategies, and many others. When actual results are different from expected result or meeting wrong requirement, it is called defect and it forms the basis of risk escalation in a software project which is obviously not accepted in any type of deployment. Making a reliable software should be risk free from any vulnerability. Along with reliability another issue arises is software quality which is a factor with software risk management. The quality of software is to reduce the occurrence of risks and defects with the objective to produce an effectual value software which is key point of consideration. In this article, is underlined the present assorted risk management strategies proposed and projected by a number of researchers and academicians on the different parameters using benchmark datasets from renowned sources of research.

Design for Software Risk Management Using Soft Computing and Simulated Biological Approach

2020 ◽  
Vol 12 (2) ◽  
pp. 44-54
Author(s):  
Alankrita Aggarwal ◽  
Kanwalvir S. Dhindsa ◽  
P. K. Suri
Keyword(s):  
Risk Management ◽  
Soft Computing ◽  
Prediction Models ◽  
Multiple Parameters ◽  
Simulated Environment ◽  
Microbiological Process ◽  
Software Risk Management ◽  
Software Risk ◽  
Defect Prediction Models ◽  
Architecture And Design

The process of software evaluation is one of the key tasks that are addressed by the quality assurance teams so that the risks in the software suite can be identified and can be removed with prior notifications. Different types of metrics can be used in defect prediction models, and widely used metrics are source code and process metrics. A simulated environment for the entire process shall be generated for multiple scenarios and parameters so that the results and conclusion can be depicted in an effective way. The focus of research is to develop a narrative architecture and design for software risk management using soft computing and nature-inspired approach. The proposed approach titled simulated biological reaction (SBR) is expected to have the effectual results on multiple parameters with the flavor of soft computing-based optimization. The proposed approach shall be integrating the simulation of microbiological process in different substances and elements to produce a new substance.

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