Automated Software Engineering

Papers
(The median citation count of Automated Software Engineering is 2. 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
Optimized design refactoring (ODR): a generic framework for automated search-based refactoring to optimize object-oriented software architectures45
DL4SC: a novel deep learning-based vulnerability detection framework for smart contracts45
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
Technology adoption performance evaluation applied to testing industrial REST APIs20
Semantic context based coincidental correct test cases detection for fault localization20
EmoReflex: an AI-powered emotion-centric developer insights platform20
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
A three-valued model abstraction framework for PCTL* stochastic model checking16
Revisiting file context for source code summarization16
Multidimensional modeling driven from a domain language16
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
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
Knowledge-enhanced software refinement: leveraging reinforcement learning for search-based quality engineering14
Quality assessment framework to rank software projects14
Automated test data generation and stubbing method for C/C++ embedded projects13
Α tool for requirements engineering using ontologies and boilerplates13
RFMC-CS: a representation fusion based multi-view momentum contrastive learning framework for code search13
Adaptive and accessible user interfaces for seniors through model-driven engineering12
TM-fuzzer: fuzzing autonomous driving systems through traffic management11
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
DICE simulation: a tool for software performance assessment at the design stage10
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
Source code change analysis with deep learning based programming model9
A systematic decision-making framework for tackling quantum software engineering challenges8
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
Genetic algorithms and heuristics hybridized for software architecture recovery7
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
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
How to certify machine learning based safety-critical systems? A systematic literature review5
Quantum software engineering and potential of quantum computing in software engineering research: a review5
What information contributes to log-based anomaly detection? Insights from a configurable transformer-based approach5
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
Towards automatic business process redesign: an NLP based approach to extract redesign suggestions5
A model-based DevOps process for development of mathematical database cost models5
The impact of feature selection and feature reduction techniques for code smell detection: A comprehensive empirical study5
Does sentiment help requirement engineering: exploring sentiments in user comments to discover informative comments4
Actor-critic architecture based probabilistic meta-reinforcement learning for load balancing of controllers in software defined networks4
UI2HTML: utilizing LLM agents with chain of thought to convert UI into HTML code4
Regression test selection in test-driven development4
$$l-$$PEES-IMP: lightweight proxy re-encryption-based identity management protocol for enhancing privacy over multi-cloud environment4
Semi-supervised and unsupervised anomaly detection by mining numerical workflow relations from system logs4
A framework for conditional statement technical debt identification and description4
SiaLog: detecting anomalies in software execution logs using the siamese network4
Data cleaning and machine learning: a systematic literature review4
Prompt enhance API recommendation: visualize the user’s real intention behind this query4
Data-driven prototyping via natural-language-based GUI retrieval4
Gradient contouring and texture modelling based CAD system for improved TB classification4
Future of software development with generative AI4
MerIt: improving neural program synthesis by merging collective intelligence4
Detection of hidden privilege escalations in android4
Model checking strategy-controlled systems in rewriting logic4
AdaComplete: improve DL-based code completion method’s domain adaptability3
WalletRadar: towards automating the detection of vulnerabilities in browser-based cryptocurrency wallets3
Mobile application review summarization using chain of density prompting3
MP: motion program synthesis with machine learning interpretability and knowledge graph analogy3
Context-aware code summarization with multi-relational graph neural network3
NexuSym: Marrying symbolic path finders with large language models3
AIDM: artificial intelligent for digital museum autonomous system with mixed reality and software-driven data collection and analysis3
Machine learning based predictive modeling to effectively implement DevOps practices in software organizations3
Contractsentry: a static analysis tool for smart contract vulnerability detection3
Self-admitted technical debt in R: detection and causes3
Continuous integration of architectural performance models with parametric dependencies – the CIPM approach3
Towards a behavior tree-based robotic software architecture with adjoint observation schemes for robotic software development3
A systematic review of refactoring opportunities by software antipattern detection3
Knowledge-guided large language models are trustworthy API recommenders3
Understanding the privacy-realisticness dilemma of the metaverse3
Test case prioritization using test case diversification and fault-proneness estimations3
Sharif-TaaWS: a tool to automate unit testing of web services3
OneLog: towards end-to-end software log anomaly detection3
On the documentation of refactoring types3
Enhancing multi-objective test case selection through the mutation operator3
Guest Editorial: Deep Learning in Open-Source Software Ecosystems2
UAV surveillance for violence detection and individual identification2
From code to insight: studying code representation techniques for ML-based God class detection to support intelligent IDEs2
HQLgen: deep learning based HQL query generation from program context2
DESCG: data encoding scheme classification with GNN in binary analysis2
Meta network attention-based feature matching for heterogeneous defect prediction2
iALBMAD: an improved agile-based layered approach for mobile app development2
Static data-flow analysis for software product lines in C2
Using model-driven engineering to automate software language translation2
GenerativeGI: creating generative art with genetic improvement2
HGNNLink: recovering requirements-code traceability links with text and dependency-aware heterogeneous graph neural networks2
An extensive study of the effects of different deep learning models on code vulnerability detection in Python code2
Exploring the impact of data preprocessing techniques on composite classifier algorithms in cross-project defect prediction2
Automated verification of concurrent go programs via bounded model checking2
Agents in software engineering: survey, landscape, and vision2
A study on cross-project fault prediction through resampling and feature reduction along with source projects selection2
Efficient deep-reinforcement learning aware resource allocation in SDN-enabled fog paradigm2
A symbolic execution-based method to perform untargeted attack on feed-forward neural networks2
A survey on robustness attacks for deep code models2
QUARE: towards a question-answering model for requirements elicitation2
Measuring the impact of predictive models on the software project: A cost, service time, and risk evaluation of a metric-based defect severity prediction model2
Ladle: a method for unsupervised anomaly detection across log types2
Using data mining techniques to generate test cases from graph transformation systems specifications2
FLASc: a formal algebra for labeled property graph schema2
Directed Artificial Bee Colony algorithm with revamped search strategy to solve global numerical optimization problems2
0.044608116149902