While AI is extensively transforming Software Engineering (SE) fields, SE is
still in need of a framework to overall consider all phases to facilitate
Automated Software Evolution (ASEv), particularly for intelligent applications
that are context-rich, instead of conquering each division independently. Its
complexity comes from the intricacy of the intelligent applications, the
heterogeneity of the data sources, and the constant changes in the context.
This study proposes a conceptual framework for achieving automated software
evolution, emphasizing the importance of multimodality learning. A Selective
Sequential Scope Model (3S) model is developed based on the conceptual
framework, and it can be used to categorize existing and future research when
it covers different SE phases and multimodal learning tasks. This research is a
preliminary step toward the blueprint of a higher-level ASEv. The proposed
conceptual framework can act as a practical guideline for practitioners to
prepare themselves for diving into this area. Although the study is about
intelligent applications, the framework and analysis methods may be adapted for
other types of software as AI brings more intelligence into their life cycles.

该研究提出了一个概念性框架来实现自动化软件演化，强调多模态学习的重要性。基于该框架，开发了一种选择性顺序范围模型（3S）模型，用于对不同软件工程阶段和多模态学习任务进行分类。该研究为更高级的自动化软件演化奠定了基础，并可作为实践者进入该领域的实用指南。此研究虽然针对智能应用，但框架和分析方法也可适用于其他类型的软件，随着人工智能为其生命周期带来更多智能。

实现用于上下文丰富智能应用的自动化软件演化的数据到产品多模态概念框架

A Data-to-Product Multimodal Conceptual Framework to Achieve Automated  Software Evolution for Context-rich Intelligent Applications

The emergence of intelligent applications and recent advances in the fields
of computing and networks are driving the development of computing and networks
convergence (CNC) system. However, existing researches failed to achieve
comprehensive scheduling optimization of computing and network resources. This
shortfall results in some requirements of computing requests unable to be
guaranteed in an end-to-end service pattern, negatively impacting the
development of CNC systems. In this article, we propose a distributed
cooperative routing framework for the CNC system to ensure the deadline
requirements and minimize the computation cost of requests. The framework
includes trading plane, management plane, control plane and forwarding plane.
The cross-plane cooperative end-to-end routing schemes consider both
computation efficiency of heterogeneous servers and the network congestion
degrees while making routing plan, thereby determining where to execute
requests and corresponding routing paths. Simulations results substantiates the
performance of our routing schemes in scheduling computing requests in the CNC
system.

智能应用和计算与网络融合的最新进展推动了计算和网络融合系统的发展。然而，现有研究未能实现对计算和网络资源的全面调度优化，从而导致一些计算请求的要求无法在端到端服务模式中得到保证，对计算和网络融合系统的发展产生负面影响。本文提出了一种分布式协作路由框架，用于计算和网络融合系统，以确保截止日期要求并最小化请求的计算成本。该框架包括交易平面、管理平面、控制平面和转发平面。交叉平面协作端到端路由方案在制定路由计划时考虑了异构服务器的计算效率和网络拥塞程度，从而确定在哪里执行请求和对应的路由路径。仿真结果证实了我们的路由方案在计算和网络融合系统中调度计算请求的性能。