Software’s ability to adapt at run-time to changing user needs, faults, or system intrusions; changing operational environment; and resource variability has been proposed to cope with the complexity of today’s software-intensive systems. Such self-adaptive systems can reconfigure themselves, augment their own functionality, or continually optimize and recover themselves. For example, such capabilities enable applications, such as flexible industrial production, better emission reduction in exhaust gas after treatment systems, automated guided vehicles, and advanced-driver assistance systems. To master such applications, there is a need for novel solutions for federating infrastructures, programming applications and services, and composing dynamic workloads which can react to unpredictable events such as changes in data volume, availability, location, or bandwidth. Following an open call for papers, we received 12 submissions, 7 of which were accepted. The seven articles that comprise this special issue contain a common thread on how to assure the quality of software-intensive systems exhibiting adaptive capabilities. The first article, authored by Martin Zimmermann and Franz Wotawa, entitled “An Adaptive System for Autonomous Driving” presents an adaptive control method that can cope with faults to enable a self-driving system to reach a safe state. With the proposed method, the authors show how cyber-physical systems can adapt themselves in case of faults or changing environmental conditions. Claudia Raibulet, Francesca Arcelli Fontana, and Simone Carettoni’s article with the title “A Preliminary Analysis and Comparison of Self-Adaptive Systems According to Different Issues” focuses on the internal software quality of self-adaptive systems. The authors analyze self-adaptive systems through the detection of code smells, architectural smells, and design patterns. In the paper “Time-aware Selection Approach for Service Composition based on Pruning and Improvement Techniques,” Ikbel Guidara, Nawal Guermouche, Tarak Chaari, and Mohamed Software Quality Journal https://doi.org/10.1007/s11219-020-09526-x

中文翻译：

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客座社论：关于自适应软件系统质量的特刊

软件在运行时适应不断变化的用户需求、故障或系统入侵的能力；不断变化的操作环境；已经提出了资源可变性来应对当今软件密集型系统的复杂性。这种自适应系统可以重新配置自己，增强自己的功能，或者不断优化和恢复自己。例如，这些功能支持灵活的工业生产、更好地减少废气后处理系统的排放、自动导引车和高级驾驶员辅助系统等应用。要掌握此类应用程序，需要新的解决方案来联合基础设施、编程应用程序和服务，以及组合动态工作负载，以应对不可预测的事件，例如数据量、可用性、位置或带宽。在公开征集论文后，我们收到了 12 份提交，其中 7 份被接受。组成本期特刊的七篇文章包含一个关于如何确保具有自适应能力的软件密集型系统的质量的共同线索。第一篇文章由 Martin Zimmermann 和 Franz Wotawa 撰写，题为“An Adaptive System for Autonomous Driving”，提出了一种自适应控制方法，可以应对故障，使自动驾驶系统达到安全状态。通过所提出的方法，作者展示了网络物理系统如何在出现故障或环境条件变化的情况下进行自我调整。克劳迪娅·雷布莱特，弗朗西斯卡·阿尔切利·丰塔纳，而Simone Carettoni 的题为“A Preliminary Analysis and Comparison of Self-Adaptive Systems From Different Issues”的文章重点关注了自适应系统的内部软件质量。作者通过检测代码异味、架构异味和设计模式来分析自适应系统。在论文“基于修剪和改进技术的服务组合的时间感知选择方法”中，Ikbel Guidara、Nawal Guermouche、Tarak Chaari 和 Mohamed 软件质量期刊 https://doi.org/10.1007/s11219-020-09526- X