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ORCIDWSESE@ICSE 2025: Ottawa, ON, Canada
- IEEE/ACM International Workshop on Methodological Issues with Empirical Studies in Software Engineering, WSESE@ICSE 2025, Ottawa, ON, Canada, May 3, 2025. IEEE 2025, ISBN 979-8-3315-0225-6
- Magne Jørgensen:
Analyzing and Interpreting Software Development Cost Estimation Error. 1-5 - Vincenzo De Martino, Joel Castaño, Fabio Palomba, Xavier Franch, Silverio Martínez-Fernández:
A Framework for Using LLMs for Repository Mining Studies in Empirical Software Engineering. 6-11 - Marco Torchiano
, Lorenzo Laudadio:
Exploring How SE Academic Papers Use Figures. 12-19 - Kátia Romero Felizardo, Anderson Deizepe, Daniel Coutinho, Genildo Gomes, Maria A. C. Meireles, Marco Aurélio Gerosa, Igor Steinmacher:
On the Difficulties of Conducting and Replicating Systematic Literature Reviews Studies Using LLMs in Software Engineering. 20-23 - Stefan Wagner, Marvin Muñoz Barón, Davide Falessi, Sebastian Baltes:
Towards Evaluation Guidelines for Empirical Studies Involving LLMs. 24-27 - Breno Felix de Sousa, Ronnie de Souza Santos, Kiev Gama:
Integrating Positionality Statements in Empirical Software Engineering Research. 28-35 - Matheus de Morais Leça, Lucas Valença, Reydne Santos, Ronnie de Souza Santos:
Applications and Implications of Large Language Models in Qualitative Analysis: A New Frontier for Empirical Software Engineering. 36-43 - Nauman Bin Ali, Jürgen Börstler:
On the Relevance of Paper-Type Information in Systematic Mapping Studies in Software Engineering. 44-47 - Cauã Ferreira Barros, Bruna Borges Azevedo, Valdemar Vicente Graciano Neto, Mohamad Kassab, Marcos Kalinowski, Hugo Alexandre Dantas do Nascimento, Michelle C. G. S. P. Bandeira:
Large Language Model for Qualitative Research: A Systematic Mapping Study. 48-55 - Marcelo Costalonga, Bianca Minetto Napoleão, Maria Teresa Baldassarre, Kátia Romero Felizardo, Igor Steinmacher, Marcos Kalinowski:
Can Machine Learning Support the Selection of Studies for Systematic Literature Review Updates? 56-63 - Miikka Kuutila, Paul Ralph:
Methodological and Practical Challenges in Longitudinal, Large-Scale, Collaborative Questionnaire Survey Research. 64-69
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