2023 Workshop on Human Centric Software Engineering and Cyber Security

The 2023 Workshop on Human-Centric Software Engineering & Cyber Security (HCSE&CS-2023) will be co-hosted with the 38th IEEE/ACM International Conference on Automated Software Engineering from Mon 11 – Fri 15 September 2023 in Kirchberg, Luxembourg.

Call for Papers

Humans are a key part of software development as the creators, designers, coders, testers, end users and occasional abusers of software systems including cyber security systems. While most current software engineering research and practices are function, data or process oriented, human-centric software engineering focuses on the human factors in engineering software systems. Following the success of the first and second editions at ASE 2020 and ASE 2021, the 3rd International Workshop on Human-Centric Software Engineering and Cyber Security will continue its aim to bring together researchers and practitioners to continue the discussion on fundamentally new ways to systematically capture and use human-centric software requirements during software development and verify that systems meet these requirements. At present, there are major issues with misaligned software applications related to human factors, such as accessibility, usability, emotions, personality, age, gender, and culture. This workshop serves as the ideal venue to share research ideas and outcomes on requirements, enhanced theory, models, tools, and capability for next-generation human-centric software engineering aiming to achieve significant benefits of greatly improved software quality and user experience, developer productivity and cost savings.

The increased attention on a human-centric design in software engineering is the focus of contemporary research in cyber security. Particularly, the focus is shifting towards embedding human behaviour and cognitive perception to ensure a fully human-centric cyber security solution that not only protects humans from the harmful aftereffects of cyber security events but does so in unison with human thinking and behavioural patterns. In this workshop, we solicit recent research works in the field of human-centric cyber security engineering.

This workshop solicits papers on all topics related to human-centric software engineering and cyber security, including, but not limited to:

  • Impact of human factors on development processes and software teams
  • Human factors considerations for engineers and developers
  • Incorporating human factors into requirements and design e.g., emotions, bias, personality, and culture
  • Human-centric modelling tools
  • Human-centric requirements engineering
  • Human-centric methodologies and practices
  • Context-awareness in human-centric software (and systems) engineering
  • Proactive help for modellers/designers/engineers e.g., design critics
  • Human-centric applications of emerging technologies
  • Accessible and usable cyber security
  • Usable security/privacy evaluation of existing and/or proposed solutions
  • Mental models that contribute to, or inform security and privacy design and deployment
  • Human-centric design patterns
  • In-the-wild observation of security and privacy behaviour studies
  • Tools and models for capturing and interpreting user behaviours
  • Software applications that demonstrate the practice of human-centric software engineering
  • Cyber security studies in developing countries
  • Case studies on insider whistleblowing
  • Systematization of knowledge papers that integrate and systematize existing knowledge on human-centric software engineering and/or cyber security
  • Replicating or extending previously published studies and experiments on human-centric security

Systematisation of Knowledge: We solicit Systematisation of Knowledge (SoK) that evaluate, systematise, and contextualise existing knowledge on human-centric software engineering and cyber security. SoK papers should provide a new argument, observation, viewpoint or taxonomy in an established research topic. They should be more than a survey or summary of prior work and provide new insights that can benefit our research community. The paper titles should be prefixed with “SoK:”

Replication Studies: In addition to original work, we also solicit replication studies that replicate important/influential findings from the literature. Authors should clearly state the purpose of conducting the replication study, precisely describe the methodological differences, and compare the findings with the results from the original study.

Submission Process: All submissions must be in PDF format and conform, at time of submission, to the IEEE Conference Proceedings Formatting Guidelines. Submissions must be no more than 8 pages (including acknowledgments, bibliography, and appendices). All accepted contributions will be published in the conference electronic proceedings. At least one author needs to present their paper during the workshop.

Anonymous Submission: HCSE&CS 2023 will employ a double-anonymous review process. Submissions should not include author names or affiliations anywhere in the paper including the title page, body of the paper, and the acknowledgements. References to the authors’ own work should only be made in third person.

Ethical Research: Authors are encouraged to provide an explanation of how they have following ethical principles when conducting their studies. They may be asked to provide such an explanation should questions arise during the review process.

Submission Site: https://hcse-cs-2023.hotcrp.com/

Important Dates:

  • Workshop: Mon 11 Sep 2023


Time (AEST)SessionDetails
21:30-22:20KeynoteProf John Grundy, Monash University, Australia
Title: Human-centred SE & CS in the age of ‘generative AI’

Abstract: Human-centred Software Engineering and Cybersecurity are being impacted heavily, just like most other areas, by the emergence of generative AI technologies. How will generative AI help us achieve the key themes in HCSE&CS? How might generative AI get in the way / mean we DON’T achieve them? What are the key HCSE&CS issues with generative AI technologies? What are the key generative AI issues with HCSE&CS? What key future research and practice directions should we take to best synergize HCSE&CS and generative AI?

Bio: John Grundy is Australian Laureate Fellow and Professor of Software Engineering at Monash University where he leads the Human-centric Software Engineering (‘HumaniSE’) lab. He has published in Automated Software Engineeering conference and journal for the past 25 years. His key interests include human-centrerd software engineering theories, techniques and tools, and use of various approaches to automation in software engineering. He is particularly interested in human-centric automated software engineering.
22:20-23:00Towards Developer-Centered Secure Coding Training, Vladislav Pikulin (Monash University), Daiki Kubo (Monash University), Kaveesha Nissanka (Monash University), Sadeeptha Bandara (Monash University), Muhammad Aiman Shamsiemon (Monash University), Arissha Yasmin (Monash University), Asangi Jayatilaka (University of Adelaide), Anuradha Madugalla (Monash University), Tanjila Kanij (Monash University)

DoS Attacks, Human Factors, and Evidence Extraction for the Industrial Internet of Things (IIoT) Paradigm, Sri Harsha Mekala (Deakin University), Zubair Baig (Deakin University), Adnan Anwar (Deakin University), Naeem Syed (Deakin University)
23:30-00:30Towards an Understanding of Developers’ Perceptions of Transparency in Software Development: A Preliminary Study, Humphrey O. Obie (Monash University), Juliet Ukwella (Durham College of Applied Arts & Technology), Kashumi Madampe (Monash University), John Grundy (Monash University), Mojtaba Shahin (RMIT University)

Universal Design for Website Authentication, Jacques Ophoff (Abertay University), Karen Renaud (University of Strathclyde)

A human-centric cybersecurity training tool for prioritising MSNAs, Vincent Depassier (Andrés Bello National University), Romina Torres (Adolfo Ibáñez University)
00:30-1:00Final Discussion and Closing

Organising Committee:

  • Mohan Baruwal Chhetri, CSIRO’s Data61, Australia
  • Xiao Liu, Deakin University, Australia
  • Marthie Grobler, CSIRO’s Data61, Australia
  • Thuong Hoang, Deakin University, Australia
  • Karen Renaud, University of Strathclyde, United Kingdom
  • Chetan Arora, Monash University, Australia