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Nowadays software is mainly developed through outsourcing and it has become one of the most important business practice strategies for the software industry. However, outsourcing projects are often affiliated with high failure rate. Therefore to ensure success in outsourcing projects, past research has aimed to develop intelligent risk prediction models to evaluate the success rate and cost-effectiveness...
Many risk factors affect software development and risk management has become one of the major activities in software development. Discovering causal directions among risk factors and project performance are important support for risk management. The Additive Noise Model (ANM) is an effective algorithm for discovering the direction on one-to-one causalities, but ineffective on many-to-one causalities...
The operation of construction project is a system engineering with dynamic characteristics, its completion usually affected by great uncertainty and risk, especially the cost risk. This paper aims to conduct theoretical and empiric analysis on the construction project cost risk issues caused by uncertainties and mismanagement, establish early-warning system of construction project cost risk, set up...
In today's increasingly competitive market, supply chain risk management is increasingly being valued by managers. In the foundation of investigation and study, and by the system dynamics theory, we analysis the causal relationship of seven main risks on food supply chain by vensim simulation software. And dynamically evaluate to risk factors by causal relationship, the influence strength level of...
Software project development is a risky process with high failure rate. This paper proposes an intelligent model that can predict and control software development risks from an overall project perspective rather than focusing only on the single factor, project output. In this study, we first constructed a formal model for risk identification, and then collected actual cases from software development...
Software project development has high failure rate. Software project risk management may gain a high rate of return in investment. Establishing an intelligent risk evaluation model for project will be valuable in the analysis and control of project risks. In this paper, we employed neural network (NN) and support vector machine (SVM) approaches to establish a model for risk evaluation in project development...
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