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

Background: In recent years, a discourse on how to systematically consider and report threats to validity started to gain momentum within the empirical software engineering community.

Aims: With this study, we aim to systematically underpin the current state of threats to validity practices in software engineering research.

Method: We conduct a literature review comprising 91 paper awarded with the ACM SIGSOFT Distinguished Paper Award at the ACM/IEEE International Conference on Software Engineering. Data is extracted and analyzed by considering six main facets of threats to validity, e.g., their explicit documentation, categorization, discussion of limitations, and trade-offs.

Results: Results corroborate current critiques to the threats management state of the art. Threats result to be seldom discussed in depth, and are mostly considered as an enforced afterthought rather than an active concern of the research design and execution.

Conclusions: To improve the observed practice, we derived items to consider for researchers, reviewers and readers, and call for a community action to increase the understanding of knowledge creation in empirical software engineering research.

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
Pre-print
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 P. Barcellos 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
Link to publication DOI Pre-print Media Attached