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

This program is tentative and subject to change.

Thu 24 Oct 2024 11:20 - 11:40 at Room 1 - Empirical research methods

Background: This paper documents an unsuccessful attempt to develop a comprehensive artefact to mitigate software product variability within complex organisational contexts. The narrative unfolds in two parts: the initial endeavour to create the artefact and the subsequent retrospective analysis aimed at understanding the reasons behind its lack of adoption in practical settings. The primary emphasis lies in retrospective analysis, as it offers the most valuable insights and lessons learned. Methodology: The study encompassed five large international industrial organisations, all producing products featuring embedded software. It proceeded in two key steps: first, knowledge-seeking activities involving focus group interviews with representatives from these organisations, and second, leveraging this acquired knowledge to pursue solutions to develop a general artefact for mitigating software product variability within our five organisations. This approach aligns with the design science paradigm. Results: Our results yield two key findings: firstly, insights into the challenges of generalisation, particularly regarding the risk of creating overly abstract solutions; and secondly, the complexities involved in achieving industry adoption of research findings. These two issues are closely intertwined, as increased involvement from industry organisations is essential for the development of more concrete solutions. Our study also critiques placing excessive reliance on empirical research, assuming that merely following an empirical research method will inevitably yield positive outcomes. Conclusions: If we aim in software engineering research not only to construct abstract solutions and propose pathways for progress but also to co-create the future together with practitioners, a new mindset is necessary.Over the past 15 years, we have collaborated with over 50 industrial organisations, including the healthcare sector and municipalities, many time successfully creating new knowledge. However, the collaboration has often remained a partnership between the industry and academia, with academia bearing the brunt of the workload, in most cases with the risk of making solutions too abstract and not validated properly.

Rogardt Heldal is a professor of Software Engineering at the Western Norway University of Applied Sciences. Heldal holds an honours degree in Computer Science from Glasgow University, Scotland and a PhD in Computer Science from Chalmers University of Technology, Sweden. Many of his research projects are performed in collaboration with the industry. Currently, he is part of a large national project to monitor the ocean, to build a smart ocean platform. He has more than 100+ papers in top conferences and journals.

This program is tentative and subject to change.

Thu 24 Oct

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

11:00 - 12:30
11:00
20m
Full-paper
ChatGPT application in Systematic Literature Reviews in Software Engineering: an evaluation of its accuracy to support the selection activity
ESEM Technical Papers
Katia Romero Felizardo UTFPR-CP, Marcia Sampaio Lima Universidade do Estado do Amazonas - UEA, Anderson Deizepe UTFPR-CP, Tayana Conte Universidade Federal do Amazonas, Igor Steinmacher Northern Arizona University
11:20
20m
Full-paper
Is generalisation hindering the adoption of your findings?
ESEM Technical Papers
Rogardt Heldal Western Norway University of Applied Science
11:40
20m
Full-paper
Threats to Validity in Software Engineering -- hypocritical paper section or essential analysis?
ESEM Technical Papers
Patricia Lago Vrije Universiteit Amsterdam, Per Runeson Lund University, Qunying Song Lund University, Roberto Verdecchia University of Florence
12:00
15m
Vision and Emerging Results
Data extraction for systematic mapping study using a large language model - a proof-of-concept study in software engineering
ESEM Emerging Results, Vision and Reflection Papers Track
Katia Romero Felizardo UTFPR-CP, Igor Steinmacher Northern Arizona University, Marcia Sampaio Lima Universidade do Estado do Amazonas - UEA, Anderson Deizepe UTFPR-CP, Tayana Conte Universidade Federal do Amazonas, Monalessa Perini Barcelos Federal University of EspĂ­rito Santo
12:15
15m
Vision and Emerging Results
Crossover Designs in Software Engineering Experiments: Review of the State of Analysis
ESEM Emerging Results, Vision and Reflection Papers Track
Julian Frattini Blekinge Institute of Technology, Davide Fucci Blekinge Institute of Technology, Sira Vegas Universidad Politecnica de Madrid
Pre-print Media Attached