Automated Software Engineering

Papers
(The H4-Index of Automated Software Engineering is 18. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2022-05-01 to 2026-05-01.)
ArticleCitations
Large language models for qualitative research in software engineering: exploring opportunities and challenges114
$$AI^{2}$$: the next leap toward native language-based and explainable machine learning framework77
Enhancing mutation testing for deep neural networks: a novel approach to generating high-quality mutants46
Augmenting software quality assurance with AI and automation using PyTest-BDD37
Parallelization of genetic algorithms for software architecture recovery30
A study on prompt design, advantages and limitations of ChatGPT for deep learning program repair29
Optimized design refactoring (ODR): a generic framework for automated search-based refactoring to optimize object-oriented software architectures29
DL4SC: a novel deep learning-based vulnerability detection framework for smart contracts28
On-the-fly unfolding with optimal exploration for linear temporal logic model checking of concurrent software and systems27
Graph based transfer learning with orthogonal tunning for functionality size insights26
Enhancing the ability of LLMs for spaceborne equipment code generation via retrieval-augmented generation and contrastive learning24
Machine learning approach for software defect prediction using multi-core parallel computing22
Synthetic versus real: an analysis of critical scenarios for autonomous vehicle testing20
Enhancing embedded systems development with TS$$^-$$20
Multi-view adaptive contrastive learning for information retrieval based fault localization20
EmoReflex: an AI-powered emotion-centric developer insights platform19
Challenges of deploying code embeddings: an industrial case study on method name generation18
Navigating bug cold start with contextual multi-armed bandits: an enhanced approach to developer assignment in software bug repositories18
Intelligent test case generation method for fuzzing IoT protocols based on LLM18
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