[AISWorld] IEEE CSEE&T 2023 Tokyo Call for Poster and tool, Journal first papers and Workshop contributions

[WASHIZAKI Hironori]

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* Call for Poster and tool, Journal first papers and Workshop contributions *

CSEE&T 2023
35th IEEE International Conference on Software Engineering Education and Training
https://conf.researchr.org/home/cseet-2023
Waseda University, Tokyo, Japan, August 7th-9th, 2023 
(Back to back with DSA 2023 and IEEE AVS 2023)

*Important Dates*

Poster and tool track (2 pages), Journal first track (1 page): 
Paper Submission	28 May 2023
Notification		12 June 2023
Camera Ready		23 June 2023
Main Conference		08-09 August 2023

Workshop: Bad Smells in Software Engineering Education ( https://dport96.github.io/projects/BSiSEE )
Contribution Submission	07 June 2023
Notification		07 July 2023
Workshop		07 August 2023


*Paper Submissions*

CSEE&T 2023 solicits submissions in the following separate categories. All page numbers are with the IEEE Conference Proceedings Formatting and including references.

- Journal first track (up to 1 page) presents research on software engineering education, which has recently been published in high-quality journals.

- Poster and tool track (up to 2 pages) presents work in progress and be based on either research, practice, or experience.

All submissions must be in English, and must come in A4 paper size PDF format and conform, at the time of submission, to the IEEE Conference Proceedings Formatting Guidelines (https://www.ieee.org/conferences/publishing/templates.html). Papers must be submitted electronically through EasyChair. https://www.easychair.org/conferences/?conf=cseet2023.

All accepted submissions (except workshop papers) will be submitted to the IEEE-CS Digital Library in the CSEE&T 2023 conference proceeding and are subject to registration and presentation at the conference. If a submission is accepted, at least one author of the paper must register for the conference and present the paper at the conference. If an accepted paper is not presented, the paper is removed from the proceedings.


*Workshop: Bad Smells in Software Engineering Education*
https://dport96.github.io/projects/BSiSEE

Organizers: Dan Port, Rick Kazman

There are a number of common bad practices that software engineering students innocently fall into. Software engineering educators need to detect ("smell") these bad practices early on and provide students with guidance on better practices before they become ingrained habits that are difficult to change. Some examples of bad practice smells include copying and pasting code without understanding it, employing few or poorly written comments, not following coding standards and formatting guidelines, over-complicating solutions, writing code with no clear purpose, jumping into coding before thinking about the design, writing large blocks of code without testing, and not seeking feedback or assistance when stuck.

Data from surveys and interviews with students indicate that bad practices are common and have real negative consequences. Bad practices can hinder the learning process. And current software engineering curricula and teaching methods may not adequately address them, or may not address them early enough, leaving students to develop bad habits that linger into their later careers.

Enabling instructors to "smell" bad practices and proactively address them can help them to help students understand why these practices do harm in the long run. Thus instructors can provide guidance and reinforcement for better practices within software engineering coursework which in turn can help to reduce or avoid the development of these bad habits.

This workshop aims to explore this issue by soliciting contributions to a shared repository of bad practice smells commonly observed in teaching introductory software engineering. The repository is intended to be workshopped at the conference. Participants should identify the commonly-occurring smells they have observed, along with supporting information discussing their contexts, the harm that they cause, and their remediations.

During the workshop, participants will present their contributions and facilitate workshopping them with the aim of clarifying the bad practices and how they can be detected, evidence on why they are bad, evidence on how common they are, and what guidance (ideally in the form of teaching materials) could be provided for better practices within the context of software engineering courses.

The workshop will produce a coherent and organized set of identified smells, along with recommendations for improving the education of software engineering novices, such as integrating early bad practice smell detection and remediation techniques into curricula, providing hands-on experience with better practices, data collection and analysis, and possible ways to measure improvement.

*Related Conferences*

CSEE&T 2023 will be held back to back with the 10th International Conference on Dependable Systems and Their Applications (DSA 2023, Aug 10-11 https://dsa23.techconf.org/ ) and IEEE International Symposium on Autonomous Vehicle Software（IEEE AVS 2023, Aug 10-11 http://ieeeavs.com/ ).
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