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 2021-09-01 to 2025-09-01.)
ArticleCitations
BOLD: an ontology-based log debugger for C programs61
Large language models for qualitative research in software engineering: exploring opportunities and challenges56
$$AI^{2}$$: the next leap toward native language-based and explainable machine learning framework52
Parallelization of genetic algorithms for software architecture recovery46
DL4SC: a novel deep learning-based vulnerability detection framework for smart contracts45
Optimized design refactoring (ODR): a generic framework for automated search-based refactoring to optimize object-oriented software architectures45
A study on prompt design, advantages and limitations of ChatGPT for deep learning program repair42
On-the-fly unfolding with optimal exploration for linear temporal logic model checking of concurrent software and systems38
Machine learning approach for software defect prediction using multi-core parallel computing32
Synthetic versus real: an analysis of critical scenarios for autonomous vehicle testing32
Enhancing embedded systems development with TS$$^-$$30
Enhancing the ability of LLMs for spaceborne equipment code generation via retrieval-augmented generation and contrastive learning29
Convolutional neural network for stock trading using technical indicators28
Detecting non-natural language artifacts for de-noising bug reports27
Structural contrastive learning based automatic bug triaging25
Navigating bug cold start with contextual multi-armed bandits: an enhanced approach to developer assignment in software bug repositories22
EmoReflex: an AI-powered emotion-centric developer insights platform20
Technology adoption performance evaluation applied to testing industrial REST APIs20
Semantic context based coincidental correct test cases detection for fault localization20
A class integration test order generation approach based on Sarsa algorithm19
Tips: towards automating patch suggestion for vulnerable smart contracts18
Which neural network makes more explainable decisions? An approach towards measuring explainability17
Reinforcement learning for mutation operator selection in automated program repair17
Revisiting file context for source code summarization16
Multidimensional modeling driven from a domain language16
A three-valued model abstraction framework for PCTL* stochastic model checking16
Identification and visualization of variability implementations in object-oriented variability-rich systems: a symmetry-based approach15
Test-suite-guided discovery of least privilege for cloud infrastructure as code15
Test case selection and prioritization approach for automated regression testing using ontology and COSMIC measurement15
A holistic approach to software fault prediction with dynamic classification15
Quality assessment framework to rank software projects14
Knowledge-enhanced software refinement: leveraging reinforcement learning for search-based quality engineering14
RFMC-CS: a representation fusion based multi-view momentum contrastive learning framework for code search13
Automated test data generation and stubbing method for C/C++ embedded projects13
Α tool for requirements engineering using ontologies and boilerplates13
Adaptive and accessible user interfaces for seniors through model-driven engineering12
TM-fuzzer: fuzzing autonomous driving systems through traffic management11
DICE simulation: a tool for software performance assessment at the design stage10
Sampling configurations from software product lines via probability-aware diversification and SAT solving10
Code comment generation based on graph neural network enhanced transformer model for code understanding in open-source software ecosystems10
MCL-VD: Multi-modal contrastive learning with LoRA-enhanced GraphCodeBERT for effective vulnerability detection10
Source code change analysis with deep learning based programming model9
Automatic recognizing relevant fragments of APIs using API references9
Detecting question relatedness in programming Q&A communities via bimodal feature fusion9
RCM-extractor: an automated NLP-based approach for extracting a semi formal representation model from natural language requirements9
A systematic decision-making framework for tackling quantum software engineering challenges8
Genetic algorithms and heuristics hybridized for software architecture recovery7
Leveraging structural properties of source code graphs for just-in-time bug prediction7
Optimizing regression testing with AHP-TOPSIS metric system for effective technical debt evaluation7
SIFT: enhance the performance of vulnerability detection by incorporating structural knowledge and multi-task learning7
Software defect prediction: future directions and challenges7
Automated requirement contradiction detection through formal logic and LLMs6
A systematic literature review on software security testing using metaheuristics6
An empirical study of data sampling techniques for just-in-time software defect prediction6
An empirical study of automated privacy requirements classification in issue reports6
Freeze-and-mutate: abnormal sample identification for DL applications through model core analysis6
Energy efficient resource allocation based on virtual network embedding for IoT data generation6
qaAskeR$$^+$$: a novel testing method for question answering software via asking recursive questions6
Exploring the potential of general purpose LLMs in automated software refactoring: an empirical study6
Angels or demons: investigating and detecting decentralized financial traps on ethereum smart contracts6
Correction to: A class integration test order generation approach based on Sarsa algorithm6
Coevolutionary scheduling of dynamic software project considering the new skill learning6
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