ESEIW 2024
Sun 20 - Fri 25 October 2024 Barcelona, Spain

Background: Despite having several advantages, software modelling remains unpopular for developers. Similarly, university students do not see the benefits of software modelling in the university curriculum. Prior research show the lack of guidance for students to do so.

Aims: We aim to evaluate the effectiveness of four modelling recommendations to improve student modelling knowledge. Additionally, we aim to discover students’ perceptions of software modelling after taking a course with the recommendations included.

Method: We conducted a mixed method study, including interviews with teaching assistants, student surveys, and a focus group study involving students, teaching assistants, and experts from both modelling and education. Afterwards, we conducted an analysis to draw conclusions.

Results: We find that the four recommendations overall have a positive impact as they help students better understand the modelling knowledge from the course. Students express that specific recommendations help them grasp the concept of software modelling well. We also extend the recommendations by adding more details specific to software modelling and solidifying the recom- mendations into systematic guidelines.

Conclusions: The guidelines can potentially enhance education and training in software modelling, catering to both academic settings and industrial environments. Additionally, the guidelines contribute to improved communication between students and the course itself by outlining what students can expect from modelling assignments and the value inherent in each of these assignments.

Thu 24 Oct

Displayed time zone: Brussels, Copenhagen, Madrid, Paris change

14:00 - 15:30
14:00
20m
Full-paper
Game Software Engineering: A Controlled Experiment Comparing Automated Content Generation Techniques
ESEM Technical Papers
Mar Zamorano López University College London, África Domingo Universidad San Jorge, Carlos Cetina Universitat Politècnica de València, Spain, Federica Sarro University College London
14:20
20m
Full-paper
Evaluating Software Modelling Recommendations: Towards Systematic Guidelines for Modelling
ESEM Technical Papers
Shalini Chakraborty Reykjavik University, Grischa Liebel Reykjavik University
14:40
20m
Full-paper
What do we know about Hugging Face? A systematic literature review and quantitative validation of qualitative claims
ESEM Technical Papers
Jason Jones Purdue University, Wenxin Jiang Purdue University, Nicholas Synovic Loyola University Chicago, George K. Thiruvathukal Loyola University Chicago and Argonne National Laboratory, James C. Davis Purdue University
DOI Pre-print
15:00
15m
Vision and Emerging Results
On the Creation of Representative Samples of Software Repositories
ESEM Emerging Results, Vision and Reflection Papers Track
June Gorostidi IN3 - UOC, Adem Ait University of Luxembourg, Jordi Cabot Luxembourg Institute of Science and Technology, Javier Luis Cánovas Izquierdo IN3 - UOC
Pre-print
15:15
15m
Vision and Emerging Results
Can ChatGPT emulate humans in software engineering surveys?
ESEM Emerging Results, Vision and Reflection Papers Track
Igor Steinmacher Northern Arizona University, Jacob Mcauley Penney NAU, Katia Romero Felizardo UTFPR-CP, Alessandro Garcia Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Marco Gerosa Northern Arizona University