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Lin CHuang S(2024)Technical risk model of machine learning based software project development - A multinational empirical study using modified Delphi-AHP methodInformation and Software Technology10.1016/j.infsof.2024.107449171(107449)Online publication date: Jul-2024
https://doi.org/10.1016/j.infsof.2024.107449
Hunger TArnold MPestinger R(2023)Risks and Requirements in Sustainable App Development—A ReviewSustainability10.3390/su1508701815:8(7018)Online publication date: 21-Apr-2023
https://doi.org/10.3390/su15087018
Dantas ESousa ARique TAntônio LAlbuquerque DPerkusich MAlmeida HPerkusich A(2023)RiskControl: A Bayesian Network-based Tool to Support Risk Management in Software Projects2023 International Conference on Software, Telecommunications and Computer Networks (SoftCOM)10.23919/SoftCOM58365.2023.10271596(1-6)Online publication date: 21-Sep-2023
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Software project risks and their effect on outcomes

Recommendations

Identifying Software Project Risks: An International Delphi Study

Advocates of software risk management claim that by identifying and analyzing threats to success (i.e., risks) action can be taken to reduce the chance of failure of a project. The first step in the risk management process is to identify the risk itself,...
Supporting risks in software project management

Complex software development is a risky job. The number of unsuccessful projects surpasses the number of successful developments, particularly when large projects are analyzed. This paper describes an approach to develop, retrieve, and reuse management ...
Insuring computer risks

Individuals and organizations who own or use computers in daily operations face many exposures to the risk of loss of hardware, software, and other computing assets, including liability arising from computing operations. Many loss prevention techniques ...

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Communications of the ACM Volume 47, Issue 4

Human-computer etiquette

April 2004

90 pages

ISSN:0001-0782

EISSN:1557-7317

DOI:10.1145/975817

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Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Lin CHuang S(2024)Technical risk model of machine learning based software project development - A multinational empirical study using modified Delphi-AHP methodInformation and Software Technology10.1016/j.infsof.2024.107449171(107449)Online publication date: Jul-2024
https://doi.org/10.1016/j.infsof.2024.107449
Hunger TArnold MPestinger R(2023)Risks and Requirements in Sustainable App Development—A ReviewSustainability10.3390/su1508701815:8(7018)Online publication date: 21-Apr-2023
https://doi.org/10.3390/su15087018
Dantas ESousa ARique TAntônio LAlbuquerque DPerkusich MAlmeida HPerkusich A(2023)RiskControl: A Bayesian Network-based Tool to Support Risk Management in Software Projects2023 International Conference on Software, Telecommunications and Computer Networks (SoftCOM)10.23919/SoftCOM58365.2023.10271596(1-6)Online publication date: 21-Sep-2023
https://doi.org/10.23919/SoftCOM58365.2023.10271596
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Identifying Software Project Risks: An International Delphi Study

Supporting risks in software project management

Insuring computer risks

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