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 2022-06-01 to 2026-06-01.)

Article	Citations
Enhancing mutation testing for deep neural networks: a novel approach to generating high-quality mutants	120
$$AI^{2}$$: the next leap toward native language-based and explainable machine learning framework	81
Large language models for qualitative research in software engineering: exploring opportunities and challenges	50
Optimized design refactoring (ODR): a generic framework for automated search-based refactoring to optimize object-oriented software architectures	39
Augmenting software quality assurance with AI and automation using PyTest-BDD	31
A study on prompt design, advantages and limitations of ChatGPT for deep learning program repair	30
DL4SC: a novel deep learning-based vulnerability detection framework for smart contracts	30
Parallelization of genetic algorithms for software architecture recovery	30
Toward intelligent runtime adaptation in microservices: Empirical trade-off analysis and a hybrid AI framework	29
On-the-fly unfolding with optimal exploration for linear temporal logic model checking of concurrent software and systems	27
Multi-view adaptive contrastive learning for information retrieval based fault localization	24
Machine learning approach for software defect prediction using multi-core parallel computing	23
Graph based transfer learning with orthogonal tunning for functionality size insights	22
Enhancing the ability of LLMs for spaceborne equipment code generation via retrieval-augmented generation and contrastive learning	21
Enhancing embedded systems development with TS$$^-$$	20
Navigating bug cold start with contextual multi-armed bandits: an enhanced approach to developer assignment in software bug repositories	19
Synthetic versus real: an analysis of critical scenarios for autonomous vehicle testing	19
EmoReflex: an AI-powered emotion-centric developer insights platform	19
Semantic context based coincidental correct test cases detection for fault localization	18
Structural contrastive learning based automatic bug triaging	17
DIR-SMOTE: a density-influence resampling framework for imbalanced code smell detection	17
Enhanced neighborhood metric for spreadsheet fault prediction	17
Technology adoption performance evaluation applied to testing industrial REST APIs	17
Detecting non-natural language artifacts for de-noising bug reports	17
Challenges of deploying code embeddings: an industrial case study on method name generation	16

Intelligent test case generation method for fuzzing IoT protocols based on LLM	16
A class integration test order generation approach based on Sarsa algorithm	16
The arts and crafts of android adware across a decade	15
Knowledge distillation-driven commit-aware multimodal learning for software vulnerability detection	15
Reinforcement learning for mutation operator selection in automated program repair	15
Tips: towards automating patch suggestion for vulnerable smart contracts	14
Test case selection and prioritization approach for automated regression testing using ontology and COSMIC measurement	14
Multidimensional modeling driven from a domain language	13
Graph neural networks for precise bug localization through structural program analysis	12
Test-suite-guided discovery of least privilege for cloud infrastructure as code	12
PIONEER: improving the robustness of student models when compressing pre-trained models of code	12
Revisiting file context for source code summarization	12
A holistic approach to software fault prediction with dynamic classification	11
Toward efficient testing of graph neural networks via test input prioritization	11
Unveiling hidden permissions: an LLM framework for detecting privacy and security concerns in AI mobile apps reviews	11
SPVR: syntax-to-prompt vulnerability repair based on large language models	10
RFMC-CS: a representation fusion based multi-view momentum contrastive learning framework for code search	10
Knowledge-enhanced software refinement: leveraging reinforcement learning for search-based quality engineering	10
Automated test data generation and stubbing method for C/C++ embedded projects	10
Between law and code: challenges and opportunities for automating privacy assessments	9
MCL-VD: Multi-modal contrastive learning with LoRA-enhanced GraphCodeBERT for effective vulnerability detection	9
Α tool for requirements engineering using ontologies and boilerplates	9
AI-driven digital twin-based security orchestration, automation and response for critical infrastructures	9
Adaptive and accessible user interfaces for seniors through model-driven engineering	9
Automatic recognizing relevant fragments of APIs using API references	8
Towards integrated dashboards for better management of human-centric issues in software development	8
TM-fuzzer: fuzzing autonomous driving systems through traffic management	8
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
Sampling configurations from software product lines via probability-aware diversification and SAT solving	8
Decomposition then watermarking: Enhancing code traceability with dual-channel code watermarking	8
SIFT: enhance the performance of vulnerability detection by incorporating structural knowledge and multi-task learning	7
Safety-critical scenario generation for automated testing of autonomous driving systems	7
Robust vulnerability detection with limited data via training-efficient adversarial reprogramming	7
Assessing the effectiveness of recent closed-source large language models in fault localization and automated program repair	7
Software defect prediction: future directions and challenges	7
ByteEye: A smart contract vulnerability detection framework at bytecode level with graph neural networks	7
A systematic decision-making framework for tackling quantum software engineering challenges	7
BlindSpotFuzz: testing autonomous driving systems through blind-spot-guided fuzzing	7
New criteria for test case prioritization for software product lines. A replication and extension study	6
Coevolutionary scheduling of dynamic software project considering the new skill learning	6
Optimizing regression testing with AHP-TOPSIS metric system for effective technical debt evaluation	6
Automated requirement contradiction detection through formal logic and LLMs	6
Energy efficient resource allocation based on virtual network embedding for IoT data generation	6
Exploring the potential of general purpose LLMs in automated software refactoring: an empirical study	6
Comparing static analyses for improved semantic conflict detection	6
Genetic algorithms and heuristics hybridized for software architecture recovery	6
Predicting software defects using an extreme gradient boosting model tuned with reinforcement learning based spider wasp optimizer	6
Correction to: A class integration test order generation approach based on Sarsa algorithm	6
A systematic literature review on software security testing using metaheuristics	6

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