Doctoral SymposiumMODELS 2022

About

The goal of the MODELS 2022 Doctoral Symposium is to provide an international forum for doctoral students to interact with their fellow students and faculty mentors working in the area of model-based engineering. The symposium supports students by providing independent and constructive feedback about their already completed and, more importantly, planned research work. The Symposium will be attended by prominent experts in the field of model-based engineering, who will actively participate in critical and constructive discussions.

The Symposium will have the format of a one-day workshop, with presentations of the doctoral students who have their papers accepted in a peer-review process, feedback from the mentors, and plenty of time for discussion. The presentations will be open for mentors, students, and other conference participants; only supervisors of the presenters are excluded from the sessions in which their students deliver their presentations.

MODELS 2022 Doctoral Symposium is planned to be hybrid with the goal of being more inclusive and to increase engagement.

For this year’s edition, the conference has the special theme “Modeling for social good” #MDE4SG. Thus, we especially encourage contributions where model-based engineering intersects with research and applications on, not exclusively, socio-technical systems, tools with social impact, integrating human values, data science, artificial intelligence, digital twins, Industry/Society 5.0, and intelligent systems in general. Papers are eligible for the Best Theme Paper Award.

Submission Guidelines

Submissions (exclusively authored by a doctoral student) are invited from students who have settled on a general doctoral dissertation area, but are still sufficiently far away from the completion of their PhD studies to be able to benefit from the feedback process of the symposium.

Submissions should present research in progress that is intended to lead to a doctoral dissertation, using the following structure:

• Problem: The problem the research intends to solve, the target audience of this research, and a motivation of why the problem is important and needs to be solved.
• Related work: A review of the relevant related work, with an emphasis on how the proposed approach is different and what advantages it has over the existing state of the art.
• Proposed solution: A description of the proposed solution and which other work (e.g., methods or tools) it depends on.
• Plan for evaluation and validation: A description of how it will be shown that the work does indeed solve the targeted problem and is superior to the existing state of the art (e.g., prototyping, industry case studies, user studies, experiments).
• Expected contributions: A list of the expected contributions to both theory and practice.
• Current status: A description of the work to-date, results achieved so far, and a proposed planned timeline for completion.

Submissions must not exceed five (5) pages plus two (2) pages for references. Submissions must adhere to the ACM formatting instructions.

Word users make sure you are using Times New Roman on the body of your text, author information, and section titles; and using Helvetica on the paper title.

All papers have to be submitted electronically in PDF format through EasyChair (https://easychair.org/my/conference?conf=2022modelsds).

All accepted submissions will be part of the MODELS 2022 Companion proceedings and published in the ACM Digital Library.

Instructions and advice for video recordings

In the case the authors with accepted papers participate remotely in the symposium, please follow the instructions below to create and upload a video presentation of your accepted submission. To help you with the preparation, we also provide some pointers to advise, best practices, and tools (based on [1]).

• Due date: To be announced
  • Format of video
    • Length: The length should be between 12-15mins
    • Type: You can use one of the following three options:
      1. Face and audio only
      2. Slides and audio only
      3. Screencast and camera as picture in picture or split screen. This option is preferred because it puts you in the best position to create an engaging, informative, and effective video.
    • Aspect ratio and resolution: 1280x720 (720p), 1920x1080 (1080p), or 4K.
    • File format: MP4 or M4V
    • File size: <100MB
  • Transcoding: If your recoding tool saves the video in a format other than MP4 or M4V, you need to ‘transcode’ it, using, e.g., the free Handbrake tool. For more details, see [1] below.
  • Adding subtitles: This is recommended, but not required. Tools such as Otter.ai or Temi can be used to create a ‘transcription’ of your video in the form of an SRT file. YouTube can also be used. For more details, see [1].
  • Uploading: Both the MP4 (or M4V) file and the SRT file need to be uploaded. The upload link will be further provided.
  • Recording tools:
    • Below is a non-exhaustive list of tools that allow the recording of ‘picture in picture’ videos (i.e., Type 3 above). We leave the choice of which tool to use up to you.
      1. Zoom
      2. Screencast-O-Matic
      3. Loom
      4. OBS
      5. Camtasia
    • The following tools allow recording screen casts of slide presentations with audio, but no video (i.e., Type 2 above):
      1. Powerpoint
      2. Any other capture tools, such as Loom, OBS, or QuickTime.
  • Advice and best practice
    • [1] D.A. Shamma. A Remote Video Presentation Guide. We used this page to help us compose this section. The page also contains more information and links on how to use certain tools.
    • [2] CHI’20. Guide to a Successful Video Submission. Less technical advice on how to create good presentation.
    • [3] SGIGRAPH’20. Presentation Resources. Collection of resources on general topics such as public speaking and conference presentations
    • [4] ICSE’20. YouTube Video Collection. Lots of videos of ICSE’20 presentations. For inspiration and ideas on what (or what not) to do. For videos of the ACM Student Research Competion go here.

• Dynamic Adaptation for Distributed Systems in Model-Driven Engineering. Mufasir Muthaher Mohammed
• Towards Realizing Test Conditions for Automated Vehicles. Felix Beringhoff
• Towards Qualifiable Graphical Editing of Complex Domain-specific Models in Safety-critical Avionics. Andreas Waldvogel
• Deriving Model-based Safety and Security Assurance Cases from Design Rationale of Countermeasure Patterns. Roman Trentinaglia
• Simplify Model Design in MDE Approaches. Asbathou Biyalou-Sama
• Towards Consistency Management in Low-Code Platforms. Mohammadamin Zaheri
• Measuring the Fidelity of Digital Twin Systems. Paula Muñoz
• ViMoTest: A Low Code Approach to Specify ViewModel-based Tests with a Projectional DSL using JetBrains MPS. Mario Fuksa
• Addressing Non-Functional Requirements of Adaptive IoT Systems: A Model-Driven Approach. Mirza Rehenuma Tabassum