Buchumschlag

Large Language Models in Thematic Analysis: Prompt Engineering, Evaluation, and Guidelines for Qualitative Software Engineering Research

Fuente: arXiv

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Montes, Cristina Martinez, Feldt, Robert, Martos, Cristina Miguel, Ouhbi, Sofia, Premanandan, Shweta, Graziotin, Daniel
Format:	Preprint
Veröffentlicht:	2025
Schlagworte:	Software Engineering
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

The Factors Influencing Well-Being in Software Engineers: A Cross-Country Mixed-Method Study
von: Montes, Cristina Martinez, et al.
Veröffentlicht: (2025)

Qualitative Research Methods in Software Engineering: Past, Present, and Future
von: Seaman, Carolyn, et al.
Veröffentlicht: (2025)

Applying Bayesian Analysis Guidelines to Empirical Software Engineering Data: The Case of Programming Languages and Code Quality
von: Furia, Carlo A., et al.
Veröffentlicht: (2021)

Exploring the Garden of Forking Paths in Empirical Software Engineering Research: A Multiverse Analysis
von: Cassee, Nathan, et al.
Veröffentlicht: (2025)

Clearing the Path for Software Sustainability
von: Gross, Jennifer, et al.
Veröffentlicht: (2024)

Bayesian Data Analysis in Empirical Software Engineering Research
von: Furia, Carlo A., et al.
Veröffentlicht: (2018)

Evaluating the Impact of a Yoga-Based Intervention on Software Engineers' Well-Being
von: Montes, Cristina Martinez, et al.
Veröffentlicht: (2025)

Emotional Strain and Frustration in LLM Interactions in Software Engineering
von: Montes, Cristina Martinez, et al.
Veröffentlicht: (2025)

Towards Causal Analysis of Empirical Software Engineering Data: The Impact of Programming Languages on Coding Competitions
von: Furia, Carlo A., et al.
Veröffentlicht: (2023)

Human-Centered AI Transformation: Exploring Behavioral Dynamics in Software Engineering
von: Tavantzis, Theocharis, et al.
Veröffentlicht: (2024)

Guidelines for Empirical Studies in Software Engineering involving Large Language Models
von: Baltes, Sebastian, et al.
Veröffentlicht: (2025)

Prompt Engineering Guidelines for Using Large Language Models in Requirements Engineering
von: Ronanki, Krishna, et al.
Veröffentlicht: (2025)

Requirements for Organizational Resilience: Engineering Developer Happiness
von: Borg, Markus, et al.
Veröffentlicht: (2024)

Towards Improving the External Validity of Software Engineering Experiments with Transportability Methods
von: Frattini, Julian, et al.
Veröffentlicht: (2026)

Factors Influencing Gender Representation in IT Faculty Programmes: Insights with a Focus on Software Engineering in a Nordic Context
von: Montes, Cristina Martinez, et al.
Veröffentlicht: (2025)

Do Research Software Engineers and Software Engineering Researchers Speak the Same Language?
von: Kehrer, Timo, et al.
Veröffentlicht: (2025)

Towards Emotionally Intelligent Software Engineers: Understanding Students' Self-Perceptions After a Cooperative Learning Experience
von: Araújo, Allysson Allex, et al.
Veröffentlicht: (2025)

At What Cost? Software Developers' Well-Being in the Age of GenAI
von: Guizani, Mariam, et al.
Veröffentlicht: (2026)

An Empirical Study on Decision-Making Aspects in Responsible Software Engineering for AI
von: Rani, Lekshmi Murali, et al.
Veröffentlicht: (2025)

The Semi-Executable Stack: Agentic Software Engineering and the Expanding Scope of SE
von: Feldt, Robert, et al.
Veröffentlicht: (2026)

Attributes to Support the Formulation of Practically Relevant Research Problems in Software Engineering
von: Pereira, Anrafel Fernandes, et al.
Veröffentlicht: (2025)

Applications and Implications of Large Language Models in Qualitative Analysis: A New Frontier for Empirical Software Engineering
von: Leça, Matheus de Morais, et al.
Veröffentlicht: (2024)

GenAI Is No Silver Bullet for Qualitative Research in Software Engineering
von: Ernst, Neil A., et al.
Veröffentlicht: (2026)

The Social Psychology of Software Security (Psycurity)
von: Gren, Lucas, et al.
Veröffentlicht: (2024)

Do Advanced Language Models Eliminate the Need for Prompt Engineering in Software Engineering?
von: Wang, Guoqing, et al.
Veröffentlicht: (2024)

Qualitative Data Analysis in Software Engineering: Techniques and Teaching Insights
von: Treude, Christoph
Veröffentlicht: (2024)

Promptware Engineering: Software Engineering for Prompt-Enabled Systems
von: Chen, Zhenpeng, et al.
Veröffentlicht: (2025)

Reporting LLM Prompting in Automated Software Engineering: A Guideline Based on Current Practices and Expectations
von: Korn, Alexander, et al.
Veröffentlicht: (2026)

A Method to Assess and Argue for Practical Significance in Software Engineering
von: Torkar, Richard, et al.
Veröffentlicht: (2018)

Bridging the Socio-Emotional Gap: The Functional Dimension of Human-AI Collaboration for Software Engineering
von: Rani, Lekshmi Murali, et al.
Veröffentlicht: (2026)

Green Prompt Engineering: Investigating the Energy Impact of Prompt Design in Software Engineering
von: De Martino, Vincenzo, et al.
Veröffentlicht: (2025)

Cross-Functional AI Task Forces (X-FAITs) for AI Transformation of Software Organizations
von: Gren, Lucas, et al.
Veröffentlicht: (2025)

Revisiting Sentiment Analysis for Software Engineering in the Era of Large Language Models
von: Zhang, Ting, et al.
Veröffentlicht: (2023)

Prompts as Software Engineering Artifacts: A Research Agenda and Preliminary Findings
von: Villamizar, Hugo, et al.
Veröffentlicht: (2025)

Tutorial Debriefing: Applied Statistical Causal Inference in Requirements Engineering
von: Frattini, Julian, et al.
Veröffentlicht: (2025)

Challenges in Testing Large Language Model Based Software: A Faceted Taxonomy
von: Dobslaw, Felix, et al.
Veröffentlicht: (2025)

Assessing and Advancing Benchmarks for Evaluating Large Language Models in Software Engineering Tasks
von: Hu, Xing, et al.
Veröffentlicht: (2025)

On the Economic Implications of Diversity in Software Engineering
von: Montana, Sofia Tapias, et al.
Veröffentlicht: (2026)

A Survey on Large Language Models for Software Engineering
von: Zhang, Quanjun, et al.
Veröffentlicht: (2023)

Empathy Guidelines for Improving Practitioner Well-being & Software Engineering Practices
von: Gunatilake, Hashini, et al.
Veröffentlicht: (2025)