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 2022-08-01 to 2026-08-01.)
ArticleCitations
Enhancing mutation testing for deep neural networks: a novel approach to generating high-quality mutants145
$$AI^{2}$$: the next leap toward native language-based and explainable machine learning framework87
Large language models for qualitative research in software engineering: exploring opportunities and challenges56
Optimized design refactoring (ODR): a generic framework for automated search-based refactoring to optimize object-oriented software architectures48
Toward intelligent runtime adaptation in microservices: Empirical trade-off analysis and a hybrid AI framework36
Augmenting software quality assurance with AI and automation using PyTest-BDD34
SENTRY: an adversarial robust anomaly detection approach in system log based on pattern unit extraction and time-step masking34
A study on prompt design, advantages and limitations of ChatGPT for deep learning program repair33
DL4SC: a novel deep learning-based vulnerability detection framework for smart contracts31
Parallelization of genetic algorithms for software architecture recovery30
On-the-fly unfolding with optimal exploration for linear temporal logic model checking of concurrent software and systems28
Graph based transfer learning with orthogonal tunning for functionality size insights28
Enhancing the ability of LLMs for spaceborne equipment code generation via retrieval-augmented generation and contrastive learning26
Enhancing embedded systems development with TS$$^-$$25
Multi-view adaptive contrastive learning for information retrieval based fault localization23
Navigating bug cold start with contextual multi-armed bandits: an enhanced approach to developer assignment in software bug repositories22
Synthetic versus real: an analysis of critical scenarios for autonomous vehicle testing22
Enhanced neighborhood metric for spreadsheet fault prediction21
Challenges of deploying code embeddings: an industrial case study on method name generation20
DIR-SMOTE: a density-influence resampling framework for imbalanced code smell detection19
Semantic context based coincidental correct test cases detection for fault localization18
Intelligent test case generation method for fuzzing IoT protocols based on LLM18
Structural contrastive learning based automatic bug triaging18
Tips: towards automating patch suggestion for vulnerable smart contracts17
Technology adoption performance evaluation applied to testing industrial REST APIs17
Reinforcement learning for mutation operator selection in automated program repair17
Detecting non-natural language artifacts for de-noising bug reports17
The arts and crafts of android adware across a decade17
EmoReflex: an AI-powered emotion-centric developer insights platform17
Knowledge distillation-driven commit-aware multimodal learning for software vulnerability detection16
A class integration test order generation approach based on Sarsa algorithm15
Multidimensional modeling driven from a domain language14
Test case selection and prioritization approach for automated regression testing using ontology and COSMIC measurement13
Revisiting file context for source code summarization13
PIONEER: improving the robustness of student models when compressing pre-trained models of code13
Test-suite-guided discovery of least privilege for cloud infrastructure as code12
Graph neural networks for precise bug localization through structural program analysis12
A holistic approach to software fault prediction with dynamic classification12
Toward efficient testing of graph neural networks via test input prioritization12
Automated test data generation and stubbing method for C/C++ embedded projects11
CoFiLoc: A Coarse-to-fine LLM-based framework for method-level bug localization11
Unveiling hidden permissions: an LLM framework for detecting privacy and security concerns in AI mobile apps reviews11
SPVR: syntax-to-prompt vulnerability repair based on large language models11
Α tool for requirements engineering using ontologies and boilerplates11
Knowledge-enhanced software refinement: leveraging reinforcement learning for search-based quality engineering11
Adaptive and accessible user interfaces for seniors through model-driven engineering10
AI-driven digital twin-based security orchestration, automation and response for critical infrastructures10
Between law and code: challenges and opportunities for automating privacy assessments10
MCL-VD: Multi-modal contrastive learning with LoRA-enhanced GraphCodeBERT for effective vulnerability detection10
RFMC-CS: a representation fusion based multi-view momentum contrastive learning framework for code search10
Decomposition then watermarking: Enhancing code traceability with dual-channel code watermarking9
Detecting question relatedness in programming Q&A communities via bimodal feature fusion9
Towards integrated dashboards for better management of human-centric issues in software development9
TM-fuzzer: fuzzing autonomous driving systems through traffic management9
Assessing the effectiveness of recent closed-source large language models in fault localization and automated program repair8
A systematic decision-making framework for tackling quantum software engineering challenges8
Robust vulnerability detection with limited data via training-efficient adversarial reprogramming8
Automatic recognizing relevant fragments of APIs using API references8
Sampling configurations from software product lines via probability-aware diversification and SAT solving8
Safety-critical scenario generation for automated testing of autonomous driving systems8
Software defect prediction: future directions and challenges8
A systematic literature review on software security testing using metaheuristics7
Genetic algorithms and heuristics hybridized for software architecture recovery7
Optimizing regression testing with AHP-TOPSIS metric system for effective technical debt evaluation7
New criteria for test case prioritization for software product lines. A replication and extension study7
Comparing static analyses for improved semantic conflict detection7
Predicting software defects using an extreme gradient boosting model tuned with reinforcement learning based spider wasp optimizer7
Automated requirement contradiction detection through formal logic and LLMs7
BlindSpotFuzz: testing autonomous driving systems through blind-spot-guided fuzzing7
SIFT: enhance the performance of vulnerability detection by incorporating structural knowledge and multi-task learning7
Developing, testing, building and maintaining an Eclipse project based on EMF and Xtext7
ByteEye: A smart contract vulnerability detection framework at bytecode level with graph neural networks7
qaAskeR$$^+$$: a novel testing method for question answering software via asking recursive questions6
The impact of feature selection and feature reduction techniques for code smell detection: A comprehensive empirical study6
What information contributes to log-based anomaly detection? Insights from a configurable transformer-based approach6
An empirical study of data sampling techniques for just-in-time software defect prediction6
Energy efficient resource allocation based on virtual network embedding for IoT data generation6
Defending neural code understanding models by eliminating backdoors6
Angels or demons: investigating and detecting decentralized financial traps on ethereum smart contracts6
Coevolutionary scheduling of dynamic software project considering the new skill learning6
Freeze-and-mutate: abnormal sample identification for DL applications through model core analysis6
An empirical study of automated privacy requirements classification in issue reports6
Exploring the potential of general purpose LLMs in automated software refactoring: an empirical study6
Correction to: A class integration test order generation approach based on Sarsa algorithm6
Exploring the security of short-term and long-term contextual memory in industrial smart customer agent6
0.079038143157959