Presentation of SEH 2021

Healthcare systems in many countries are leveraging emerging technologies (e.g., cloud computing, big data, mobile apps, data science, biosensors, and wearable devices) and modern software engineering approaches to ensure continuous quality improvement in the presence of rapid change and increasing challenges. Software-intensive systems are seen as a key enabler for healthcare system reform in many jurisdictions with major investments and incentives to propel this transformation. At the same time, interoperability barriers continue to impede the composition of emergent healthcare systems, where different types of healthcare providers from different organizations need to coordinate efforts to deliver complex care. In this scenario, a community involving researchers and practitioners of software engineering for healthcare has emerged and shall continue to grow and mature, addressing diverse themes and their intersections.

Call For Papers - SEH 2021


This workshop will focus on discussing and establishing the theoretical foundations of software engineering for healthcare to develop and evolve complex health systems, paving the way for a more structured community effort. We expect to identify and characterize research that has effectively contributed to the patients' quality of life and/or treatment outcome, pointing out further research directions. Finally, our goal is to continue developing an interdisciplinary, international community with an effective research, educational and industrial agenda for supporting software engineering in the healthcare sector. Hence, this workshop will focus on the combination of the following themes, but not limited to:

Software engineering: methods and techniques for modeling, designing, developing, and evaluating healthcare systems, software architecture extraction and description of healthcare systems, reference architectures, continuous architecting, architecting families of products, context awareness and autonomous computing, technical debt, software quality, development processes, user interface, system interoperability, cloud native applications, safety, security, sustainability, data governance, workflow integration, compliance and regulatory issues, and data analytics;

Healthcare systems: eHealth, mHealth, telehealth, electronic health records systems, medical devices, biomedical data, healthcare performance management, quality of care, medication adherence and health monitoring, electronic prescription, healthcare management systems, ageing users, standards, and clinical decision support. We look for papers that explore the above topics and the role that software engineering plays in creating solutions to address them. We are expressly interested in submissions from researchers in developing and underserved countries. We are also particularly interested in emerging trends in current practice submitted by those working in the healthcare domain.

Considering these themes, this workshop represents an important contribution for the software engineering and healthcare communities in terms of in-depth discussions and lessons learned, establishing a comprehensive research agenda for software engineering for healthcare.


Three types of submissions are invited:

Technical papers limited to 8 pages, presenting novel or tailored methods, processes, and tools for software engineering for healthcare;
Case studies limited to 8 pages, reporting experiments and/or industry experiences with one or more topics in the workshop; and
Short papers limited to 4 pages, reporting preliminary results of ongoing studies in the topics in this workshop, identifying relevant challenges or promising directions for engineering such systems.

The page limit includes all text, figures, tables, and references. All submissions must be unpublished original work and not be under review elsewhere. All papers will be judged on the basis of their clarity, relevance, originality, and contribution. Submissions must follow the IEEE Computer Science proceedings format, as workshop proceedings will be published by IEEE CS Digital Library. All submissions must be in English and submitted in PDF format through online upload to Easychair:

Publication of Papers

Accepted papers will be published in the electronic ICSE Proceedings in the IEEE Digital Library.

Click here for more information about ICSE proceedings publication.

Important Dates

Submission deadline: Jan. 12, 2021 Jan. 19, 2021 (extended!)
Notification: Feb. 22, 2021
Camera-ready copy: March. 12, 2021
SEH Workshop: June. 3rd, 2021

Workshop Program

Welcome to SEH 2021! In this venue we will have Steve McConnell (the author of Code Complete) as Keynote Speaker, and four technical sessions. All sessions will be held virtually on 3rd June 2021.
The program is currently displayed in (GMT+02:00) Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna .

New! See all presentations on Youtube!

13:00 - 13:30 Opening Session

13:30 - 14:40 Technical Session 1: COVID and Systems

  • Slides Automatic Classification and Entity Relation Detection in Hungarian Spinal MRI Reports
    (Technical Paper).
    Authors:András Kicsi, Klaudia Szabó Ledenyi, Péter Pusztai and László Vidács
  • Slides A Framework for Building Safe and Resilient Public Feeding Programs
    (Short Paper).
    Authors:Nataraj Kuntagod, Sanjay Podder, Satya Sai Srinivas Abbabathula, Venkatesh Subramanian, Giju Mathew and Suresh Kumar Mani
  • Software Development During COVID-19 Pandemic: an Analysis of Stack Overflow and GitHub
    (Case Study).
    Authors:Pedro Almir M. Oliveira, Pedro A. Santos Neto, Gleison Silva, Irvayne Ibiapina, Werney L. Lira and Rossana M. C. Andrade

15:30 - 16:40 Technical Session 2: Security and Safety

  • Slides Provenance-based Trust Model for Assessing Data Quality during Clinical Decision Making
    (Technical Paper).
    Authors:Jean-Philippe Stoldt and Jens H. Weber.
  • Slides On Medical Device Cybersecurity Compliance in EU
    (Short Paper).
    Authors:Tuomas Granlund, Juha Vedenpää, Vlad Stirbu and Tommi Mikkonen
  • Slides Extending SOUP to ML Models When Designing Certified Medical Systems
    (Short Paper).
    Authors:Vlad Stirbu, Tuomas Granlund, Jere Helén and Tommi Mikkonen

17:00 - 17:45 Video Slides Keynote Session by Steve McConnell

18:00 - 19:10 Technical Session 3: Architecture

  • Slides Wandering and getting lost: the architecture of an app activating local communities on dementia issues
    (Technical Paper).
    Authors:Nicklas Sindlev Andersen, Marco Chiarandini and Jacopo Mauro
  • Slides Blockchains' federation for integrating distributed health data using a patient-centered approach
    (Technical Paper).
    Authors:Javier Rojo, Juan Hernandez, Juan Manuel Murillo Rodríguez and Jose García-Alonso
  • Slides Application of HL7 FHIR in a Microservice Architecture for Patient Navigation on Registration and Appointments
    (Case Study).
    Authors:Giovani Nícolas Bettoni, Thafarel Camargo, Bruno Gomes Tavares dos Santos, Cecília Dias Flores and Filipe Santana Da Silva

19:30 - 20:40 Technical Session 4: Requirements

  • Slides Probabilistic Model Checking for Activity Recognition in Medical Serious Games
    (Technical Paper).
    Authors:Thibaud L'Yvonnet, Elisabetta De Maria, Sabine Moisan and Jean-Paul Rigault
  • Slides The case of Golden Jubilants: using a prototype to support healthcare technology research
    (Case Study).
    Authors:Bilal Ahmad, Sarah Beecham and Ita Richardson
  • Slides Evaluating Dissemination and Implementation Strategies to Develop Clinical Software
    (Case Study).
    Authors:Gaston Marquez and Carla Taramasco

20:40 - 21:00 Closing Session


Software Estimation Lessons Learned from Covid-19 Forecasting

Abstract: Code Complete author, Steve McConnell, has been an active contributor to the CDC’s Ensemble model, which is the coronavirus forecast of record for the CDC. In addition to Steve’s forecasts, the Ensemble model receives contributions from teams at Johns Hopkins University, MIT, Harvard, USC, IHME, Google, Microsoft, Los Alamos National Labs, and other well-known organizations. A total of more than 40 high profile, prestigious institutions contribute to the model.

The forecast methods used by the teams are, for the most part, public information. Teams have submitted more than 4000 forecast sets, which includes more than 200,000 individual forecasts. This data set of forecast methods, forecasts, and how each forecast actually performed provides an unmatched opportunity to learn lessons about effective and ineffective forecasting techniques.

Steve is not an epidemiologist, but his forecast model, CovidComplete, has consistently been among the top 5 most accurate forecast models, and it is frequently the single best performing model.

Coronavirus forecasting has benefited from lessons learned in software estimation. Join Steve to see just how much the world of software estimation can benefit from lessons learned forecasting the pandemic.


Steve McConnell is best known as the author of Code Complete, a software industry classic that is often described as the best-reviewed, best-selling software development book of all time. Steve’s books have sold more than 1 million copies and have been translated into 20 languages. His most recent book is More Effective Agile: A Roadmap for Software Leaders.

Steve is a leading expert in software measurement, software engineering practices, and author of Software Estimation: Demystifying the Black Art, which won Amazon’s computer and internet book of the year award in 2006.

Along with top scientists from Johns Hopkins, MIT, and Harvard, Steve is currently contributing to the CDC’s “Ensemble” forecast model, which tracks and analyzes the progression of Covid-19 at the state and national levels in the United States. His forecasts, identified as CovidComplete in the CDC’s forecasting system, have consistently been among the most accurate of the models contributing to the Ensemble model.


logo Elena Navarro

University of Castilla-La Mancha, Spain

logo Jens Weber

University of Victoria, Canada

logo Elisa Yumi Nakagawa

University of São Paulo, Brazil

logo Frances Paulisch

Siemens Healthineers, Germany

logo Lina Garcés

Federal University of Itajubá, Brazil

Program Committee

  • Alessandra Alaniz Macedo (University of São Paulo, Brazil)
  • Anirudh Aggarwal (Siemens Healthcare Private Limited, India)
  • Barbara Paech (University of Heidelberg, Germany)
  • Bradley Malin (Vanderbilt University, USA)
  • Chuck Weinstock (Software Engineering Institute, USA)
  • Craig Kuziemsky (MacEwan University, Canada)
  • Débora C. Muchaluat Saade (Universidade Federal Fluminense, Brazil)
  • Irene Manotas Manotas (IBM T.J. Watson Research Center, USA)
  • Ita Richardson (LERO, Univ. of Limerick, Ireland)
  • Jose García-Alonso (University of Extremadura, Spain)
  • Leon Osterweil (UMass Amherst, USA)
  • Liam Peyton (University of Ottawa, Canada)
  • Marcia Ito (Faculdade de Tecnologia de S\~ao Paulo, Brazil)
  • Milena Guessi (University of São Paulo, Brazil)
  • Neeraj Singh (ENSEEIHT, Toulouse, France)
  • Øystein Nytrø (Norwegian U. of Science and Tech., Norway)
  • Pablo Oliveira Antonino (Fraunhofer IESE, Germany)
  • Pascual González (Castilla-La Mancha University, Spain)
  • Rafael Capilla (Universidad Rey Juan Carlos, Madrid, Spain)
  • Rodrigo Pereira dos Santos (UNIRIO, Brazil)
  • Tiago Volpato (University of São Paulo, Brazil)
  • Vlad Stirbu (CompliancePal, Finland)
  • Wendy MacCaull (St. Francis Xavier University, Canada)