Call for Papers on Computer-Aided Software Design for Multi-Concern Assurance


Call for Papers on Computer-Aided Software Design for Multi-Concern Assurance  

Theme: Recent years have witnessed an increase in the popularity of intelligent applications in our daily lives ranging from autonomous suggestions to sophisticated software assistants. Many of these applications have had an impact on our daily lives, but they have remained mainly in the digital world. Furthermore, modern and complex software systems have become increasingly integrated into a wide range of systems such as critical infrastructures, biomedical systems, automobiles, industrial control systems, and assure that security and safety and other dependability aspects such as availability, robustness, and reliability of software-intensive systems are prioritized by government bodies and providers of critical systems and services. Recently, computer-aided designers that make up these software systems strive to ensure that they work effectively and guarantee that the emerging concerns about safety hazards, security threats, and performance issues are effectively handled. As a result, it is necessary to address these different concerns within the computer-aided architecture and design of these systems in the context of stakeholders' subjective and often contradictory, competing, and conflicting needs and expectations, and to do so with a level of confidence in accord with the tolerable loss consequences associated with each of these objectives. As a result, the entire concept of software assurance and certification needs to be rethought, taking into consideration the nature of software-intensive systems and their complete spectrum of computer- aided design concerns.

This special issue invites technical research articles on computer-aided architecture and design trends that support multi-concern assurance of software-intensive systems that assist software practitioners. We ask for novel research submissions on the computer-aided designs, methodologies, experimental and continuing research outcomes, and insightful experiences with an emphasis on illustrating the value of trends supporting multi-concern assurance to software developers, system evaluators and certifiers, and even government regulators and policymakers. Submissions on any aspect of software architecture and computer-aided design that supports multi-concern assurance are especially encouraged, including but not limited to:

  • Integrated analysis and assurance of multiple software system characteristics
  • Advanced computer-aided design in ensuring performance efficiency and functional suitability
  • Validation of system characteristics and analysis of tradeoffs
  • Novel approaches for architecture-driven assurance, design-centered assurance & model-based assurance
  • Intelligent computer-aided design based on multiple system qualities and concerns
  • Customization of application – specific process
  • Intelligent computer-aided testing, simulation, and analysis
  • Interoperability between assurance and engineering
  • Standards, regulations, and guidelines pertaining to computer- aided design development
  • Empirical results and experience reports
  • Case studies and empirical analysis

Manuscript preparation and submission
Computer Assisted Methods in Engineering and Science (CAMES) is a refereed international journal published quarterly and indexed by Scopus and EBSCO databases.

All manuscripts must be submitted through the journal website:

Submission must be clearly marked in the system as “Computer-Aided Software Design for Multi-Concern Assurance”. The publication in this Special Issue is free of charge for the Authors and the published manuscript will be freely available for the Readers through the Journal website (

Important dates:
Deadline for full-length paper submission: January 20, 2022
Acceptance Notification: March 1, 2022
Final Manuscript Due: June 20, 2022
Publication: September 2022

Guest Editors:
Dr. Joy Iong-Zong Chen,
Professor, Department of Electrical Engineering, Dayeh University, Changhua County, Taiwan
Dr. Ke-Lin Du, Affiliated Associate Professor, Department of Electrical and Computer Engineering, Concordia University, Montreal, Canada
Dr. Wang Haoxiang, Go Perception Laboratory, Cornell University, USA

Prof. Michał Kleiber
– Past ECCOMAS President, Institute of Fundamental Technological Research, Warsaw, Poland

Prof. Tadeusz Burczyński
– Chairman of TC on Computational Solids & Structural Mechanics of ECCOMAS, Director of Institute of Fundamental Technological Research, Warsaw, Poland