OOIR: Observatory of International Research

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 2021-11-01 to 2025-11-01.)

Article	Citations
Large language models for qualitative research in software engineering: exploring opportunities and challenges	73
$$AI^{2}$$: the next leap toward native language-based and explainable machine learning framework	61
BOLD: an ontology-based log debugger for C programs	54
Parallelization of genetic algorithms for software architecture recovery	52
Optimized design refactoring (ODR): a generic framework for automated search-based refactoring to optimize object-oriented software architectures	47
DL4SC: a novel deep learning-based vulnerability detection framework for smart contracts	45
Augmenting software quality assurance with AI and automation using PyTest-BDD	44
A study on prompt design, advantages and limitations of ChatGPT for deep learning program repair	43
Enhancing embedded systems development with TS$$^-$$	32
Machine learning approach for software defect prediction using multi-core parallel computing	32
Synthetic versus real: an analysis of critical scenarios for autonomous vehicle testing	31
On-the-fly unfolding with optimal exploration for linear temporal logic model checking of concurrent software and systems	29
Enhancing the ability of LLMs for spaceborne equipment code generation via retrieval-augmented generation and contrastive learning	27
Graph based transfer learning with orthogonal tunning for functionality size insights	25
Convolutional neural network for stock trading using technical indicators	23
Enhanced neighborhood metric for spreadsheet fault prediction	23
Structural contrastive learning based automatic bug triaging	21
Semantic context based coincidental correct test cases detection for fault localization	21
EmoReflex: an AI-powered emotion-centric developer insights platform	19
Intelligent test case generation method for fuzzing IoT protocols based on LLM	19
Technology adoption performance evaluation applied to testing industrial REST APIs	19
Detecting non-natural language artifacts for de-noising bug reports	18
Navigating bug cold start with contextual multi-armed bandits: an enhanced approach to developer assignment in software bug repositories	17
A class integration test order generation approach based on Sarsa algorithm	17
Which neural network makes more explainable decisions? An approach towards measuring explainability	16

Reinforcement learning for mutation operator selection in automated program repair	16
A three-valued model abstraction framework for PCTL* stochastic model checking	16
Tips: towards automating patch suggestion for vulnerable smart contracts	16
Multidimensional modeling driven from a domain language	15
PIONEER: improving the robustness of student models when compressing pre-trained models of code	15
Revisiting file context for source code summarization	15
Test case selection and prioritization approach for automated regression testing using ontology and COSMIC measurement	14
Graph neural networks for precise bug localization through structural program analysis	14
Identification and visualization of variability implementations in object-oriented variability-rich systems: a symmetry-based approach	13
Test-suite-guided discovery of least privilege for cloud infrastructure as code	12
A holistic approach to software fault prediction with dynamic classification	12
Quality assessment framework to rank software projects	12
Toward efficient testing of graph neural networks via test input prioritization	12
Automated test data generation and stubbing method for C/C++ embedded projects	11
Α tool for requirements engineering using ontologies and boilerplates	11
Adaptive and accessible user interfaces for seniors through model-driven engineering	10
TM-fuzzer: fuzzing autonomous driving systems through traffic management	10
MCL-VD: Multi-modal contrastive learning with LoRA-enhanced GraphCodeBERT for effective vulnerability detection	10
RFMC-CS: a representation fusion based multi-view momentum contrastive learning framework for code search	10
Sampling configurations from software product lines via probability-aware diversification and SAT solving	9
Knowledge-enhanced software refinement: leveraging reinforcement learning for search-based quality engineering	9
Detecting question relatedness in programming Q&A communities via bimodal feature fusion	8
Code comment generation based on graph neural network enhanced transformer model for code understanding in open-source software ecosystems	8
DICE simulation: a tool for software performance assessment at the design stage	8
Towards integrated dashboards for better management of human-centric issues in software development	8
A systematic decision-making framework for tackling quantum software engineering challenges	8
Automatic recognizing relevant fragments of APIs using API references	8
Source code change analysis with deep learning based programming model	8
Decomposition then watermarking: Enhancing code traceability with dual-channel code watermarking	8
RCM-extractor: an automated NLP-based approach for extracting a semi formal representation model from natural language requirements	7
Software defect prediction: future directions and challenges	7
Optimizing regression testing with AHP-TOPSIS metric system for effective technical debt evaluation	7
Assessing the effectiveness of recent closed-source large language models in fault localization and automated program repair	7
A systematic literature review on software security testing using metaheuristics	7
ByteEye: A smart contract vulnerability detection framework at bytecode level with graph neural networks	6
Leveraging structural properties of source code graphs for just-in-time bug prediction	6
Freeze-and-mutate: abnormal sample identification for DL applications through model core analysis	6
Correction to: A class integration test order generation approach based on Sarsa algorithm	6
Automated requirement contradiction detection through formal logic and LLMs	6
Genetic algorithms and heuristics hybridized for software architecture recovery	6
Coevolutionary scheduling of dynamic software project considering the new skill learning	6
SIFT: enhance the performance of vulnerability detection by incorporating structural knowledge and multi-task learning	6
Predicting software defects using an extreme gradient boosting model tuned with reinforcement learning based spider wasp optimizer	6
An empirical study of automated privacy requirements classification in issue reports	6