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 2021-05-01 to 2025-05-01.)
ArticleCitations
Predicting the Defects using Stacked Ensemble Learner with Filtered Dataset46
BOLD: an ontology-based log debugger for C programs43
Large language models for qualitative research in software engineering: exploring opportunities and challenges42
$$AI^{2}$$: the next leap toward native language-based and explainable machine learning framework39
Parallelization of genetic algorithms for software architecture recovery35
DL4SC: a novel deep learning-based vulnerability detection framework for smart contracts30
ANCHOR: locating android framework-specific crashing faults30
Optimized design refactoring (ODR): a generic framework for automated search-based refactoring to optimize object-oriented software architectures30
A study on prompt design, advantages and limitations of ChatGPT for deep learning program repair28
Synthetic versus real: an analysis of critical scenarios for autonomous vehicle testing28
Machine learning approach for software defect prediction using multi-core parallel computing25
Enhancing embedded systems development with TS$$^-$$25
SSD based waste separation in smart garbage using augmented clustering NMS22
Convolutional neural network for stock trading using technical indicators21
Semantic context based coincidental correct test cases detection for fault localization20
EmoReflex: an AI-powered emotion-centric developer insights platform19
Detecting non-natural language artifacts for de-noising bug reports19
Technology adoption performance evaluation applied to testing industrial REST APIs15
A class integration test order generation approach based on Sarsa algorithm15
Navigating bug cold start with contextual multi-armed bandits: an enhanced approach to developer assignment in software bug repositories15
Reinforcement learning for mutation operator selection in automated program repair14
A three-valued model abstraction framework for PCTL* stochastic model checking14
Which neural network makes more explainable decisions? An approach towards measuring explainability14
Tips: towards automating patch suggestion for vulnerable smart contracts14
Investigation and prediction of open source software evolution using automated parameter mining for agent-based simulation14
Revisiting file context for source code summarization13
Multidimensional modeling driven from a domain language12
TM-fuzzer: fuzzing autonomous driving systems through traffic management12
Test-suite-guided discovery of least privilege for cloud infrastructure as code12
Identification and visualization of variability implementations in object-oriented variability-rich systems: a symmetry-based approach12
Test case selection and prioritization approach for automated regression testing using ontology and COSMIC measurement12
A holistic approach to software fault prediction with dynamic classification12
Automated test data generation and stubbing method for C/C++ embedded projects11
Knowledge-enhanced software refinement: leveraging reinforcement learning for search-based quality engineering11
Quality assessment framework to rank software projects11
Α tool for requirements engineering using ontologies and boilerplates10
RFMC-CS: a representation fusion based multi-view momentum contrastive learning framework for code search10
Sampling configurations from software product lines via probability-aware diversification and SAT solving9
DICE simulation: a tool for software performance assessment at the design stage9
Code comment generation based on graph neural network enhanced transformer model for code understanding in open-source software ecosystems9
RCM-extractor: an automated NLP-based approach for extracting a semi formal representation model from natural language requirements9
Genetic algorithms and heuristics hybridized for software architecture recovery8
Detecting question relatedness in programming Q&A communities via bimodal feature fusion8
Software defect prediction: future directions and challenges8
Automatic recognizing relevant fragments of APIs using API references8
Leveraging structural properties of source code graphs for just-in-time bug prediction8
A systematic decision-making framework for tackling quantum software engineering challenges8
Source code change analysis with deep learning based programming model8
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
A systematic literature review on software security testing using metaheuristics7
Automated requirement contradiction detection through formal logic and LLMs7
Angels or demons: investigating and detecting decentralized financial traps on ethereum smart contracts6
An empirical study of automated privacy requirements classification in issue reports6
Towards automatic business process redesign: an NLP based approach to extract redesign suggestions6
Exploring the potential of general purpose LLMs in automated software refactoring: an empirical study6
Freeze-and-mutate: abnormal sample identification for DL applications through model core analysis6
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