摘要
随着信息技术的快速发展，软件系统在复杂环境下的长期运行面临诸多挑战，其中软件老化问题尤为突出，可能导致性能下降甚至系统故障。为解决这一问题，本文聚焦于软件老化机理与自愈技术的研究，旨在通过深入分析老化现象及其影响因素，提出一种基于动态监测与智能决策的自愈框架。研究采用理论建模与实验验证相结合的方法，构建了多维度的老化评估指标体系，并设计了一种融合机器学习算法的预测模型以实现对软件老化趋势的精准判断。同时，提出了自适应的修复策略，能够在系统运行过程中自动检测异常并实施修复操作，从而有效延长软件的稳定运行周期。实验结果表明，所提出的框架能够显著降低老化引发的性能衰退概率，提升系统的可靠性和可用性。本研究的主要创新点在于将智能化技术引入软件自愈领域，实现了从被动维护到主动干预的转变，为复杂软件系统的长期稳定运行提供了新的解决方案，具有重要的理论意义和实际应用价值。
关键词：软件老化；自愈技术；动态监测；智能决策；老化评估指标体系
Abstract
With the rapid development of information technology, the long-term operation of software systems in complex environments faces numerous challenges, among which software aging stands out as a critical issue that may lead to performance degradation or even system failure. To address this problem, this study focuses on the research of software aging mechanisms and self-healing technologies, aiming to propose a self-healing fr amework based on dynamic monitoring and intelligent decision-making through an in-depth analysis of aging phenomena and their influencing factors. By integrating theoretical modeling with experimental validation, a multi-dimensional aging evaluation index system is constructed, and a predictive model incorporating machine learning algorithms is designed to achieve precise judgment of software aging trends. Meanwhile, an adaptive repair strategy is proposed, which can automatically detect anomalies and implement repair operations during system runtime, thereby effectively extending the stable operation cycle of software. Experimental results demonstrate that the proposed fr amework significantly reduces the probability of performance deterioration caused by aging and enhances the reliability and availability of the system. The main innovation of this study lies in introducing intelligent technology into the field of software self-healing, realizing a transformation from passive maintenance to active intervention, and providing a new solution for the long-term stable operation of complex software systems, with significant theoretical implications and practical application value.
Keywords：Software Aging; Self-Healing Technology; Dynamic Monitoring; Intelligent Decision-Making; Aging Evaluation Index System
目 录
摘要 I
Abstract II
一、绪论 1
(一) 软件老化与自愈技术的研究背景 1
(二) 软件老化与自愈技术的研究意义 1
(三) 国内外研究现状分析 2
二、软件老化的机理与表现 2
(一) 软件老化的定义与分类 2
(二) 软件老化的主要成因分析 3
(三) 软件老化对系统性能的影响 3
三、自愈技术的原理与实现 4
(一) 自愈技术的基本概念与框架 4
(二) 自愈技术的关键算法研究 4
(三) 自愈技术在实际系统中的应用 5
四、软件老化与自愈技术的综合研究 6
(一) 软件老化检测与评估方法 6
(二) 自愈策略的设计与优化 6
(三) 软件老化与自愈技术的协同机制 7
结 论 8
参考文献 9
