Fair - Nghiên Cứu Cơ Bản Và Ứng Dụng Công Nghệ Thông Tin - 2017 2017
DOI: 10.15625/vap.2017.00038
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Iteration Scheduling Using Bayesian Networks in Agile Software Development

Abstract: In software industry nowadays, Agile Software Development methods have been largely adopted. Agile Software Development methods themselves can be considered a certain level of reducing projects risks. However, optimization of software project scheduling has always been big challenges in both practice and academia, since industrial software development is a highly complex and dynamic process. There is also a need for a probabilistic method that better model and predict uncertainty in software projects. This pap… Show more

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Cited by 1 publication
(6 citation statements)
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“…Summary of task distribution approaches, implementation of the tool, and three application scenarios are also presented in this paper [36]. e quality of planning in ASD is improved by considering planning factors such as dependencies and capacities of resources [37].…”
Section: Task Allocation Strategymentioning
confidence: 99%
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“…Summary of task distribution approaches, implementation of the tool, and three application scenarios are also presented in this paper [36]. e quality of planning in ASD is improved by considering planning factors such as dependencies and capacities of resources [37].…”
Section: Task Allocation Strategymentioning
confidence: 99%
“…e software tool BAIS (Bayesian Agile Iteration Scheduling) using Java programming language is developed, used to control schedules, and supports a set of strategies for an arrangement of tasks in ASD [37].…”
Section: Controlled Experimentmentioning
confidence: 99%
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