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首页> 外文期刊>Journal of computational and theoretical nanoscience >Artificial Intelligence Based Risk Management in Global Software Development: A Proposed Architecture to Reduce Risk by Using Time, Budget and Resources Constraints
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Artificial Intelligence Based Risk Management in Global Software Development: A Proposed Architecture to Reduce Risk by Using Time, Budget and Resources Constraints

机译：全球软件开发中的人工智能基于风险管理：通过使用时间，预算和资源限制来降低风险的拟议架构

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摘要

In today's competitive world software organizations are moving towards global software development environment where experts in teams from different geographical locations and different cultures are working on their roles and responsibilities to deliver a quality and cost-effective product. These teams are distributed in nature and work on same set of goals and objectives. They are undertaking their assignments to get multiple advantages like global exposure, new software world to explore, learning environment, etc. This change is having a significant effect on marketing and distribution as well as on the way software products are perceived, designed, developed, tested, and delivered to customers. Software experts in Global Software Development environment are also facing many challenges like as well. Moreover, risk is a big challenge out of other challenges but not many researchers addressed risk related to Time, Budget and Resources. Developing software projects to address business needs and requirements is so exceedingly complex and troublesome that it is common for software projects to overrun budgets and exceed scheduled completion dates. Business managers need the whole development process streamlined and more manageable, with projected cost and timings and for better decision making. The utilization of artificial intelligence techniques to manage risk is helpful when taking care of and assessing unstructured information because of the self-learning and self-healing nature of artificial intelligence-based algorithms. In this paper an Artificial Intelligence based architecture has been proposed that reduces risk by using Time, Budget and Resource constraints that will help decision maker to take decisions and get optimal solutions.
机译：在今天的竞争世界软件组织正在朝着全球软件开发环境迈进，来自不同地理位置和不同文化的团队的专家正在致力于提供质量和经济高效的产品的角色和责任。这些团队在自然中分发，并在同一组目标和目标上工作。他们正在开展他们的作业，以获得全球曝光，新软件世界等多种优势，以探索，学习环境等。这种变化对营销和分配的显着影响，以及在软件产品被感知，设计，开发的方式上，测试，并交付给客户。全球软件开发环境中的软件专家也面临着许多挑战。此外，风险是出于其他挑战的重要挑战，但没有许多研究人员解决了与时间，预算和资源相关的风险。开发用于解决业务需求和要求的软件项目非常复杂和麻烦，软件项目普遍存在预算并超过预定的完成日期。商业经理需要整个开发过程简化和更可管理，具有预计的成本和时间，以及更好的决策。由于人工智能基于算法的自我学习和自我修复性质，在处理和评估非结构化信息时，人工智能技术的利用是有用的。在本文中，已经提出了一种人工智能的架构，通过使用时间，预算和资源限制来降低风险，这将有助于决策者采取决策并获得最佳解决方案。

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