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 2022-01-01 to 2026-01-01.)
ArticleCitations
$$AI^{2}$$: the next leap toward native language-based and explainable machine learning framework81
Enhancing mutation testing for deep neural networks: a novel approach to generating high-quality mutants62
Large language models for qualitative research in software engineering: exploring opportunities and challenges59
Parallelization of genetic algorithms for software architecture recovery54
Augmenting software quality assurance with AI and automation using PyTest-BDD47
Optimized design refactoring (ODR): a generic framework for automated search-based refactoring to optimize object-oriented software architectures47
DL4SC: a novel deep learning-based vulnerability detection framework for smart contracts46
A study on prompt design, advantages and limitations of ChatGPT for deep learning program repair35
Synthetic versus real: an analysis of critical scenarios for autonomous vehicle testing33
On-the-fly unfolding with optimal exploration for linear temporal logic model checking of concurrent software and systems29
Graph based transfer learning with orthogonal tunning for functionality size insights29
Multi-view adaptive contrastive learning for information retrieval based fault localization26
Enhancing embedded systems development with TS$$^-$$24
Enhancing the ability of LLMs for spaceborne equipment code generation via retrieval-augmented generation and contrastive learning23
Convolutional neural network for stock trading using technical indicators22
Machine learning approach for software defect prediction using multi-core parallel computing22
Navigating bug cold start with contextual multi-armed bandits: an enhanced approach to developer assignment in software bug repositories18
Structural contrastive learning based automatic bug triaging18
EmoReflex: an AI-powered emotion-centric developer insights platform18
Intelligent test case generation method for fuzzing IoT protocols based on LLM17
Technology adoption performance evaluation applied to testing industrial REST APIs17
Enhanced neighborhood metric for spreadsheet fault prediction17
Semantic context based coincidental correct test cases detection for fault localization17
Detecting non-natural language artifacts for de-noising bug reports17
The arts and crafts of android adware across a decade16
A class integration test order generation approach based on Sarsa algorithm16
Reinforcement learning for mutation operator selection in automated program repair15
Which neural network makes more explainable decisions? An approach towards measuring explainability15
Tips: towards automating patch suggestion for vulnerable smart contracts15
A three-valued model abstraction framework for PCTL* stochastic model checking15
Graph neural networks for precise bug localization through structural program analysis14
PIONEER: improving the robustness of student models when compressing pre-trained models of code14
Multidimensional modeling driven from a domain language13
Revisiting file context for source code summarization13
Toward efficient testing of graph neural networks via test input prioritization12
Test case selection and prioritization approach for automated regression testing using ontology and COSMIC measurement12
A holistic approach to software fault prediction with dynamic classification11
Test-suite-guided discovery of least privilege for cloud infrastructure as code11
Quality assessment framework to rank software projects11
Identification and visualization of variability implementations in object-oriented variability-rich systems: a symmetry-based approach11
Automated test data generation and stubbing method for C/C++ embedded projects10
Α tool for requirements engineering using ontologies and boilerplates10
Adaptive and accessible user interfaces for seniors through model-driven engineering10
RFMC-CS: a representation fusion based multi-view momentum contrastive learning framework for code search9
TM-fuzzer: fuzzing autonomous driving systems through traffic management8
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
Source code change analysis with deep learning based programming model8
MCL-VD: Multi-modal contrastive learning with LoRA-enhanced GraphCodeBERT for effective vulnerability detection8
DICE simulation: a tool for software performance assessment at the design stage8
Towards integrated dashboards for better management of human-centric issues in software development8
SPVR: syntax-to-prompt vulnerability repair based on large language models8
Knowledge-enhanced software refinement: leveraging reinforcement learning for search-based quality engineering8
Automatic recognizing relevant fragments of APIs using API references8
Assessing the effectiveness of recent closed-source large language models in fault localization and automated program repair8
Genetic algorithms and heuristics hybridized for software architecture recovery7
Predicting software defects using an extreme gradient boosting model tuned with reinforcement learning based spider wasp optimizer7
A systematic decision-making framework for tackling quantum software engineering challenges7
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
Decomposition then watermarking: Enhancing code traceability with dual-channel code watermarking7
SIFT: enhance the performance of vulnerability detection by incorporating structural knowledge and multi-task learning7
Software defect prediction: future directions and challenges7
Leveraging structural properties of source code graphs for just-in-time bug prediction6
Correction to: A class integration test order generation approach based on Sarsa algorithm6
Comparing static analyses for improved semantic conflict detection6
Automated requirement contradiction detection through formal logic and LLMs6
A systematic literature review on software security testing using metaheuristics6
Optimizing regression testing with AHP-TOPSIS metric system for effective technical debt evaluation6
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