Internetware 2024, the 15th Asia-Pacific Symposium on Internetware, provides a forum for researchers and practitioners to discuss the trending software technologies in the Internet era.

The Internet has become a prominent platform for software development and deployment, enabling various application styles. However, existing software technologies lack a unified approach. Internetware is a concept that aims to address this by creating autonomous and adaptive software services that can perceive and respond to changes in the dynamic Internet environment. It presents challenges in operating platforms, programming models, and engineering approaches. Internetware strives to achieve flexible design objectives in the open and dynamic Internet environment.

Internet is open, dynamic, and meets a constantly changing environment. These characteristics impose new requirements on software over internet. The goals or values of software paradigm is to better utilize hardware capabilities or runtime features, as well as to provide a more expressive and natural computing model from the perspective of application domain. In that sense, software paradigm can be considered as a reflection of the runtime environment and application domain. When the dominant network environment changed from Intranet to internet, software paradigm shifts from object-oriented to component-based and service-oriented. Therefore, software paradigm is very related to environment changes such as hardware and human itself. The new software paradigm is needed for Internet computer, and it is called as Internetware. Internetware is constructed by a set of autonomic software entities distributed over the Internet, and a set of connectors enabling the collaborating among these entities in various manners.

Current years, intelligent information fusion becomes important approach applied in an extensive computing field. Researchers also tend to utilize AI technologies to develop a series of automated tools for improving the efficiency and performance of ubiquitous computing in Internetware. Increased computational power, advanced machine learning techniques, and access to very large-scale data have led to a significant transition into the emergence of Large Language Models (LLMs). LLMs are blurring the line between human and machine-produced language, thus can be successfully applied in ubiquitous computing in Internetware. In the future human-cyber-physical ternary ubiquitous computing, there are a lot of new patterns and scenarios. LLMs can provide the good solutions for analyzing the data resources, hardware, and applications so that increasing the performance of ubiquitous computing in Internetware.

This symposium aims to provide an interactive forum where researchers and professionals from multiple disciplines and domains meet and exchange ideas to explore and address the challenges brought by Internetware.

Internetware 2024 will be held July 24-26 in Macau SAR, China. We solicit submissions describing original and unpublished results of theoretical, empirical, conceptual, and experimental software engineering research related to Internetware. Topics of interests include but are not limited to:

    Novel software paradigm for Internetware
    Modeling and implementation of Internetware
    Research and Applications in Ubiquitous Operating Systems
    Human Aspects in Ubiquitous Operating Systems
    Human-Cyber-Physical ternary ubiquitous computing applied in Internetware
    Artificial intelligence of things (AIoT)
    Operating system and Internetware
    Intelligent information fusion
    Requirements engineering for Internetware
    Software analysis, verification, and testing
    Mining software repositories
    Software dependability, trustworthiness and confidence
    Software architecture and design
    Crowd-based methods, techniques and tools for Internetware
    Social-technical models and techniques
    Software ecosystem practices and experiences
    Software models and techniques for Internet-based systems such as Cloud Computing, Service Computing, Social computing, Mobile Internet, Internet of Things, and Cyber-Physical Systems
    Software engineering for/with Big data
    Software engineering for/with Artificial Intelligence