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Empirical Software Engineering
IF
3.6
Papers
1942
Citations
5257
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Journal Papers
1936
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Publication Date
IF
Citations
Learning to detect hardcoded secrets
Empirical Software Engineering
IF
3.6
2026-08-13
0
OA
AI
Farnaz Soltaniani; Mohammad Ghafari
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Understanding Chain-of-Thought effectiveness in code generation: an empirical and information-theoretic analysis
Empirical Software Engineering
IF
3.6
2026-08-10
0
PRE
AI
Naizhu Jin; Zhong Li; Guang Yang; Tian Zhang; Qingkai Zeng
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LLMs’ reshaping of people, processes, products, and society in software development: a qualitative exploration with early adopters
Empirical Software Engineering
IF
3.6
2026-08-07
0
OA
AI
Benyamin Tabarsi; Heidi Reichert; Sam Gilson; Ally Limke; Sandeep Kuttal; Tiffany Barnes
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AI failures in the eyes of the downstream developer: a first look at concerns, practices, and challenges
Empirical Software Engineering
IF
3.6
2026-08-07
0
OA
AI
Haoyu Gao; Mansooreh Zahedi; Wenxin Jiang; Hong Yi Lin; James C. Davis; Christoph Treude
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SA2Pat: enhancing binary security patch function localization via security advisory-guided LLMs
Empirical Software Engineering
IF
3.6
2026-08-03
0
PRE
AI
Zetan Li; Xiaoya Zhu; Zhuo Li; Min Li; Cong Li; Xiaokang Yin; Yaobin Xie; Shengli Liu
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MAGen: Multi-agent smart contract generation with automated testing and verification
Empirical Software Engineering
IF
3.6
2026-07-28
0
PRE
AI
Lixue Liu; Wei Ke; Haiyang Chi; Junjian Yan
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Do influence tactics matter? investigating prompt framing effects in LLM code generation
Empirical Software Engineering
IF
3.6
2026-07-25
0
PRE
AI
Alex Deaconu; Anubhav Gupta; Manaal Basha; Nicholas Haydu; Gema Rodríguez-Pérez
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Refactoring with LLMs: Bridging human expertise and machine understanding
Empirical Software Engineering
IF
3.6
2026-07-25
0
PRE
AI
Yonnel Chen Kuang Piao; Jean Carlors Paul; Leuson Da Silva; Arghavan Moradi Dakhel; Mohammad Hamdaqa; Foutse Khomh
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The impact of critique on LLM-based model generation from natural language: the case of activity diagrams
Empirical Software Engineering
IF
3.6
2026-07-25
0
PRE
AI
Parham Khamsepour; Mark Cole; Ish Ashraf; DaYuan Tan; Sandeep Puri; Mehrdad Sabetzadeh; Shiva Nejati
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Does road diversity really matter in testing automated driving systems?
Empirical Software Engineering
IF
3.6
2026-07-25
0
OA
AI
Stefan Klikovits; Vincenzo Riccio; Ezequiel Castellano; Ahmet Cetinkaya; Alessio Gambi; Paolo Arcaini
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Test input prioritization for image segmentation: an empirical study
Empirical Software Engineering
IF
3.6
2026-07-23
0
PRE
AI
Yinghua Li; Xueqi Dang; Wendkûuni C. Ouédraogo; Jacques Klein; Tegawendé F. Bissyandé
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Revisiting code readability improvement with LLMs: A critical assessment of fine-tuned models
Empirical Software Engineering
IF
3.6
2026-07-23
0
OA
AI
Antonio Vitale; Emanuela Guglielmi; Valentina Piantadosi; Antonio Mastropaolo; Gabriele Bavota; Rocco Oliveto; Simone Scalabrino
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Identifying Quality Indicators in Student Self-Reflections in Software Engineering
Empirical Software Engineering
IF
3.6
2026-07-20
0
OA
AI
Matthew Minish; Matthias Galster; Fabian Gilson
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Balancing usefulness and naturalness: an LLM-based curation pipeline for code review comments
Empirical Software Engineering
IF
3.6
2026-07-20
0
PRE
AI
Oussama Ben Sghaier; Martin Weyssow; Houari Sahraoui
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Less is more: balancing models performance and complexity for software defects prediction
Empirical Software Engineering
IF
3.6
2026-07-18
0
PRE
AI
Moataz Chouchen; Ali Ouni; Gopi Krishnan Rajbahadur; Ahmed E. Hassan
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A methodology to perform cross-ecosystems case-control security studies
Empirical Software Engineering
IF
3.6
2026-07-18
0
OA
AI
Yuan Feng; Ranindya Paramitha; Carlos E. Budde; Fabio Massacci
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Large language models in model-driven engineering: a systematic mapping study
Empirical Software Engineering
IF
3.6
2026-07-16
0
OA
AI
Weixing Zhang; Bowen Jiang; Yuhong Fu; Haowei Cheng; Maximilian Hummel; Vincenzo Scotti; Nathan Hagel; Jialong Li; Georg Grossmann; Markus Stumptner; Regina Hebig; Daniel Strüber; Anne Koziolek
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Green architectural tactics in ML-enabled systems: an LLM-based repository mining study
Empirical Software Engineering
IF
3.6
2026-07-16
0
PRE
AI
Vincenzo De Martino; Silverio Martínez-Fernández; Fabio Palomba
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Exploring the capabilities of vision-language models to detect visual bugs in HTML5 canvas applications
Empirical Software Engineering
IF
3.6
2026-07-16
0
PRE
AI
Finlay Macklon; Cedric Boucher; Cor-Paul Bezemer
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Empirical benchmarking of large language models for data science coding: a multidimensional evaluation
Empirical Software Engineering
IF
3.6
2026-07-13
0
OA
AI
Santhosh Anitha Boominathan; Sai Sanjna Chintakunta; Everton Guimaraes; Kailasam Satyamurthy; Nathalia Nascimento
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