Automated Software Engineering

Papers
(The TQCC of Automated Software Engineering is 5. 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 2021-06-01 to 2025-06-01.)
ArticleCitations
BOLD: an ontology-based log debugger for C programs49
$$AI^{2}$$: the next leap toward native language-based and explainable machine learning framework44
Large language models for qualitative research in software engineering: exploring opportunities and challenges43
Predicting the Defects using Stacked Ensemble Learner with Filtered Dataset42
Parallelization of genetic algorithms for software architecture recovery38
DL4SC: a novel deep learning-based vulnerability detection framework for smart contracts37
Optimized design refactoring (ODR): a generic framework for automated search-based refactoring to optimize object-oriented software architectures37
ANCHOR: locating android framework-specific crashing faults32
A study on prompt design, advantages and limitations of ChatGPT for deep learning program repair30
Synthetic versus real: an analysis of critical scenarios for autonomous vehicle testing30
Machine learning approach for software defect prediction using multi-core parallel computing29
Convolutional neural network for stock trading using technical indicators25
Enhancing embedded systems development with TS$$^-$$25
SSD based waste separation in smart garbage using augmented clustering NMS25
Detecting non-natural language artifacts for de-noising bug reports24
Navigating bug cold start with contextual multi-armed bandits: an enhanced approach to developer assignment in software bug repositories20
EmoReflex: an AI-powered emotion-centric developer insights platform20
Structural contrastive learning based automatic bug triaging18
Semantic context based coincidental correct test cases detection for fault localization17
Technology adoption performance evaluation applied to testing industrial REST APIs17
A class integration test order generation approach based on Sarsa algorithm16
Reinforcement learning for mutation operator selection in automated program repair15
Tips: towards automating patch suggestion for vulnerable smart contracts14
Revisiting file context for source code summarization14
A three-valued model abstraction framework for PCTL* stochastic model checking14
Which neural network makes more explainable decisions? An approach towards measuring explainability14
Multidimensional modeling driven from a domain language14
Test case selection and prioritization approach for automated regression testing using ontology and COSMIC measurement13
TM-fuzzer: fuzzing autonomous driving systems through traffic management12
Test-suite-guided discovery of least privilege for cloud infrastructure as code12
Knowledge-enhanced software refinement: leveraging reinforcement learning for search-based quality engineering12
A holistic approach to software fault prediction with dynamic classification12
Quality assessment framework to rank software projects12
Identification and visualization of variability implementations in object-oriented variability-rich systems: a symmetry-based approach12
Automated test data generation and stubbing method for C/C++ embedded projects11
Α tool for requirements engineering using ontologies and boilerplates11
RFMC-CS: a representation fusion based multi-view momentum contrastive learning framework for code search11
Code comment generation based on graph neural network enhanced transformer model for code understanding in open-source software ecosystems10
Software defect prediction: future directions and challenges10
DICE simulation: a tool for software performance assessment at the design stage10
Source code change analysis with deep learning based programming model10
Sampling configurations from software product lines via probability-aware diversification and SAT solving10
Automatic recognizing relevant fragments of APIs using API references10
RCM-extractor: an automated NLP-based approach for extracting a semi formal representation model from natural language requirements9
Detecting question relatedness in programming Q&A communities via bimodal feature fusion9
SIFT: enhance the performance of vulnerability detection by incorporating structural knowledge and multi-task learning8
Optimizing regression testing with AHP-TOPSIS metric system for effective technical debt evaluation8
Leveraging structural properties of source code graphs for just-in-time bug prediction8
A systematic decision-making framework for tackling quantum software engineering challenges8
A systematic literature review on software security testing using metaheuristics8
Genetic algorithms and heuristics hybridized for software architecture recovery8
Towards automatic business process redesign: an NLP based approach to extract redesign suggestions7
Automated requirement contradiction detection through formal logic and LLMs7
Angels or demons: investigating and detecting decentralized financial traps on ethereum smart contracts7
Freeze-and-mutate: abnormal sample identification for DL applications through model core analysis7
An empirical study of data sampling techniques for just-in-time software defect prediction6
qaAskeR$$^+$$: a novel testing method for question answering software via asking recursive questions6
Coevolutionary scheduling of dynamic software project considering the new skill learning6
Correction to: A class integration test order generation approach based on Sarsa algorithm6
An empirical study of automated privacy requirements classification in issue reports5
Mathematical model of social behavior for the allocation of members in software development teams5
Correction: Agile meets quantum: a novel genetic algorithm model for predicting the success of quantum software development project5
Energy efficient resource allocation based on virtual network embedding for IoT data generation5
How to certify machine learning based safety-critical systems? A systematic literature review5
The impact of feature selection and feature reduction techniques for code smell detection: A comprehensive empirical study5
Quantum software engineering and potential of quantum computing in software engineering research: a review5
Exploring the potential of general purpose LLMs in automated software refactoring: an empirical study5
A model-based DevOps process for development of mathematical database cost models5
Actor-critic architecture based probabilistic meta-reinforcement learning for load balancing of controllers in software defined networks5
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