Contributions are invited from academia or industry on empirical analysis of existing practices about what has worked and not for engineering these systems. SEED Workshop will provide an opportunity for both exploring new directions, presenting mature research, and discussing learning and teaching strategies and curriculum related issues on software engineering education. Papers may be related to but not limited to the following topics:
Paper selection criteria and mechanism
Interested authors should submit original papers via easychair on this SUBMISSION LINK.
The paper format must follow the CEUR-WS template of A4 size in PDF format and not exceed 6 pages (including figures, references and appendices). Submitted papers will be reviewed by the dedicated program committee members with respect to the overall quality including presentation, future impact of the research and the likely benefit to the students, academics and professionals who will attend the workshop. Proceedings shall be submitted to CEUR-WS.org for online publication, which is usually indexed by DBLP the world's most comprehensive open bibliographic Computer Science Bibliography, and then by SCOPUS.. The Chairs reserve the right to reject submissions (without reviews) that are not in compliance or out of scope for the workshop submissions, detected with plagiarism and exceed the page limit.
Authors of accepted papers have to register for the workshop.
Dr. Benajamin Gan, SMU, Singapore
Dr. Sangeeta Srivastava, University of Delhl, India
Dr. Eng Lieh Ouh, SMU, Singapore
Dr. Rama Bhatia, PSB Academy, Singapore
Dr. Manjot Bhatia, GGSIPU, India
Mr. Bah Tee, James Cook University, Singapore
1. Amershi, Saleema, Andrew Begel, Christian Bird, Robert DeLine, Harald Gall, Ece Kamar, Nachiappan Nagappan, Besmira Nushi, and Thomas Zimmermann. "Software engineering for machine learning: a case study." In Proceedings of the 41st International Conference on Software Engineering: Software Engineering in Practice, pp. 291-300. IEEE Press, 2019.
2. Chakraborty, Partha, Rifat Shahriyar, Anindya Iqbal, and Amiangshu Bosu. "Understanding the software development practices of blockchain projects: A survey." In Proceedings of the 12th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, p. 28. ACM, 2018.
3. Cico, Orges, and Letizia Jaccheri. "Industry trends in software engineering education: a systematic mapping study." In Proceedings of the 41st International Conference on Software Engineering: Companion Proceedings, pp. 292-293. IEEE Press, 2019.
4. Garousi, Vahid, Gorkem Giray, Eray Tuzun, Cagatay Catal, and Michael Felderer. "Closing the gap between software engineering education and industrial needs." IEEE Software (2019).
5. Gorbunova, T. N., Papchenko, E. V., Bazhenov, R. I., & Putkina, L. V. (2018, September). Professional Standards in Engineering Education and Industry 4.0. In 2018 IEEE International Conference" Quality Management, Transport and Information Security, Information Technologies"(IT&QM&IS)(pp. 638-642). IEEE.
6. Larrucea, Xabier, Annie Combelles, John Favaro, and Kunal Taneja. "Software engineering for the internet of things." IEEE Software 34, no. 1 (2017): 24-28.
7. Mardis, Marcia A., Jinxuan Ma, Faye R. Jones, Chandrahasa R. Ambavarapu, Heather M. Kelleher, Laura I. Spears, and Charles R. McClure. "Assessing alignment between information technology educational opportunities, professional requirements, and industry demands." Education and Information Technologies 23, no. 4 (2018): 1547-1584.
8. Wadhwa, Bimlesh, Bharat Gera, and Ashish Sureka. "A report on software engineering education workshop (seed) colocated with isec 2015." In Proceedings of the 8th India Software Engineering Conference, pp. 206-207. ACM, 2015.
9. Weyns, Danny. "Software engineering of self-adaptive systems: an organised tour and future challenges." Chapter in Handbook of Software Engineering (2017).