Automated Software Engineering

Papers
(The TQCC of Automated Software Engineering is 6. 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
Optimized design refactoring (ODR): a generic framework for automated search-based refactoring to optimize object-oriented software architectures29
A study on prompt design, advantages and limitations of ChatGPT for deep learning program repair29
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
Enhancing embedded systems development with TS$$^-$$20
Multi-view adaptive contrastive learning for information retrieval based fault localization20
Synthetic versus real: an analysis of critical scenarios for autonomous vehicle testing20
EmoReflex: an AI-powered emotion-centric developer insights platform19
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
Challenges of deploying code embeddings: an industrial case study on method name generation18
Semantic context based coincidental correct test cases detection for fault localization17
Enhanced neighborhood metric for spreadsheet fault prediction16
Technology adoption performance evaluation applied to testing industrial REST APIs16
Detecting non-natural language artifacts for de-noising bug reports16
Structural contrastive learning based automatic bug triaging16
Reinforcement learning for mutation operator selection in automated program repair15
Tips: towards automating patch suggestion for vulnerable smart contracts15
The arts and crafts of android adware across a decade15
Knowledge distillation-driven commit-aware multimodal learning for software vulnerability detection15
Test case selection and prioritization approach for automated regression testing using ontology and COSMIC measurement14
Multidimensional modeling driven from a domain language14
A class integration test order generation approach based on Sarsa algorithm14
PIONEER: improving the robustness of student models when compressing pre-trained models of code13
Revisiting file context for source code summarization12
Graph neural networks for precise bug localization through structural program analysis12
Test-suite-guided discovery of least privilege for cloud infrastructure as code11
Quality assessment framework to rank software projects11
Toward efficient testing of graph neural networks via test input prioritization11
A holistic approach to software fault prediction with dynamic classification11
Unveiling hidden permissions: an LLM framework for detecting privacy and security concerns in AI mobile apps reviews11
Adaptive and accessible user interfaces for seniors through model-driven engineering10
Between law and code: challenges and opportunities for automating privacy assessments10
RFMC-CS: a representation fusion based multi-view momentum contrastive learning framework for code search10
Α tool for requirements engineering using ontologies and boilerplates10
Automated test data generation and stubbing method for C/C++ embedded projects10
Knowledge-enhanced software refinement: leveraging reinforcement learning for search-based quality engineering9
MCL-VD: Multi-modal contrastive learning with LoRA-enhanced GraphCodeBERT for effective vulnerability detection9
AI-driven digital twin-based security orchestration, automation and response for critical infrastructures9
SPVR: syntax-to-prompt vulnerability repair based on large language models9
BlindSpotFuzz: testing autonomous driving systems through blind-spot-guided fuzzing8
Automatic recognizing relevant fragments of APIs using API references8
Sampling configurations from software product lines via probability-aware diversification and SAT solving8
Detecting question relatedness in programming Q&A communities via bimodal feature fusion8
TM-fuzzer: fuzzing autonomous driving systems through traffic management8
ByteEye: A smart contract vulnerability detection framework at bytecode level with graph neural networks7
Code comment generation based on graph neural network enhanced transformer model for code understanding in open-source software ecosystems7
A systematic decision-making framework for tackling quantum software engineering challenges7
Robust vulnerability detection with limited data via training-efficient adversarial reprogramming7
Predicting software defects using an extreme gradient boosting model tuned with reinforcement learning based spider wasp optimizer7
Assessing the effectiveness of recent closed-source large language models in fault localization and automated program repair7
Towards integrated dashboards for better management of human-centric issues in software development7
A systematic literature review on software security testing using metaheuristics7
Software defect prediction: future directions and challenges7
Decomposition then watermarking: Enhancing code traceability with dual-channel code watermarking7
Automated requirement contradiction detection through formal logic and LLMs6
Developing, testing, building and maintaining an Eclipse project based on EMF and Xtext6
Correction to: A class integration test order generation approach based on Sarsa algorithm6
Genetic algorithms and heuristics hybridized for software architecture recovery6
Comparing static analyses for improved semantic conflict detection6
SIFT: enhance the performance of vulnerability detection by incorporating structural knowledge and multi-task learning6
Optimizing regression testing with AHP-TOPSIS metric system for effective technical debt evaluation6
Coevolutionary scheduling of dynamic software project considering the new skill learning6
What information contributes to log-based anomaly detection? Insights from a configurable transformer-based approach6
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