摘要：The standard software development life cycle heavily depends on requirements elicited from stakeholders. Based on those requirements, software development is planned and managed from its inception phase to closure. Due to time and resource constraints, it is imperative to identify the high-priority requirements that need to be considered first during the software development process. Moreover, existing prioritization frameworks lack a store of historical data useful for selecting the most suitable prioritization technique of any similar project domain. In this paper, we propose a framework for prioritization of software requirements, called Re Pizer, to be used in conjunction with a selected prioritization technique to rank software requirements based on defined criteria such as implementation cost. ReP izer assists requirements engineers in a decision-making process by retrieving historical data from a requirements repository. Re Pizer also provides a panoramic view of the entire project to ensure the judicious use of software development resources. We compared the performance of Re Pizer in terms of expected accuracy and ease of use while separately adopting two different prioritization techniques, planning game（PG） and analytical hierarchy process（AHP）. The results showed that Re Pizer performed better when used in conjunction with the PG technique.

摘要：科学正在进入一个新时代——第五范式——它被认为是知识整合到不同领域的主要特征,是基于无所不在的机器学习系统的计算社区中智能驱动的工作。在此,我们通过在天河一号超级计算机系统上构建的催化材料专门设计的典型平台案例,生动地阐明了第五范式的本质,旨在促进第五范式在其他领域的培养。第五范式平台主要包括模型自动构建(原始数据提取)、指纹自动构建(神经网络特征选择)以及跨学科知识串联的重复迭代(“火山图”)。与分解一起进行的是对迭代中实现的体系结构的性能评估。通过讨论,第五范式的智能驱动平台可以极大地简化和改进研究中极其繁琐和具有挑战性的工作,并通过补偿机器学习中缺少样本和替代一些由于计算资源不足而导致的数值计算来实现数值计算与机器学习之间的相互反馈,从而加速探索过程。在数据驱动的学科中,跨学科专家的协同作用和对动态数据需求的急剧增长仍然是一个挑战。我们相信,对第五范式平台的一瞥可以为其在其他领域的应用铺平道路。

摘要：It is widely acknowledged that Requirements Engineering (RE) has an important implication for the overall success of software or system development projects. As more and more organizations consider RE as the principal problem areas in the projects, improving RE process therefore appears critical for future business success. Moreover, nowadays there are evidences that support improving RE process maturity can contributes to improved business performance. There exist generic software Process Improvement (SPI) standards, specialised RE process improvement models as well as guidance and advices on RE. However, they suffer from various issues that limit their adoption by organizations that are interested to assess and improve their RE process capability. Therefore, the research presented in this paper proposes a new RE process improvement model. The model is built by adapting and expanding the structure of the continuous representation of the formal maturity framework Capability Maturity Model Integration for Development (CMMI-DEV) developed by the software Engineering Institute (SEI) through three rounds of development and validation stages, which involved RE and CMMI expert panel in the software industry. This paper aims to provide an overview on what, why and how we build the maturity model for RE. The intention is to provide a foundation for future development in the area of RE process improvement.