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 2022-05-01 to 2026-05-01.)
ArticleCitations
Large language models for qualitative research in software engineering: exploring opportunities and challenges114
$$AI^{2}$$: the next leap toward native language-based and explainable machine learning framework77
Enhancing mutation testing for deep neural networks: a novel approach to generating high-quality mutants46
Augmenting software quality assurance with AI and automation using PyTest-BDD37
Parallelization of genetic algorithms for software architecture recovery30
Optimized design refactoring (ODR): a generic framework for automated search-based refactoring to optimize object-oriented software architectures29
A study on prompt design, advantages and limitations of ChatGPT for deep learning program repair29
DL4SC: a novel deep learning-based vulnerability detection framework for smart contracts28
On-the-fly unfolding with optimal exploration for linear temporal logic model checking of concurrent software and systems27
Graph based transfer learning with orthogonal tunning for functionality size insights26
Enhancing the ability of LLMs for spaceborne equipment code generation via retrieval-augmented generation and contrastive learning24
Machine learning approach for software defect prediction using multi-core parallel computing22
Multi-view adaptive contrastive learning for information retrieval based fault localization20
Synthetic versus real: an analysis of critical scenarios for autonomous vehicle testing20
Enhancing embedded systems development with TS$$^-$$20
EmoReflex: an AI-powered emotion-centric developer insights platform19
Intelligent test case generation method for fuzzing IoT protocols based on LLM18
Challenges of deploying code embeddings: an industrial case study on method name generation18
Navigating bug cold start with contextual multi-armed bandits: an enhanced approach to developer assignment in software bug repositories18
Semantic context based coincidental correct test cases detection for fault localization17
Enhanced neighborhood metric for spreadsheet fault prediction16
Technology adoption performance evaluation applied to testing industrial REST APIs16
Detecting non-natural language artifacts for de-noising bug reports16
Structural contrastive learning based automatic bug triaging16
Reinforcement learning for mutation operator selection in automated program repair15
Tips: towards automating patch suggestion for vulnerable smart contracts15
The arts and crafts of android adware across a decade15
Knowledge distillation-driven commit-aware multimodal learning for software vulnerability detection15
Test case selection and prioritization approach for automated regression testing using ontology and COSMIC measurement14
Multidimensional modeling driven from a domain language14
A class integration test order generation approach based on Sarsa algorithm14
PIONEER: improving the robustness of student models when compressing pre-trained models of code13
Revisiting file context for source code summarization12
Graph neural networks for precise bug localization through structural program analysis12
Test-suite-guided discovery of least privilege for cloud infrastructure as code11
Quality assessment framework to rank software projects11
Toward efficient testing of graph neural networks via test input prioritization11
A holistic approach to software fault prediction with dynamic classification11
Unveiling hidden permissions: an LLM framework for detecting privacy and security concerns in AI mobile apps reviews11
Adaptive and accessible user interfaces for seniors through model-driven engineering10
Between law and code: challenges and opportunities for automating privacy assessments10
RFMC-CS: a representation fusion based multi-view momentum contrastive learning framework for code search10
Α tool for requirements engineering using ontologies and boilerplates10
Automated test data generation and stubbing method for C/C++ embedded projects10
MCL-VD: Multi-modal contrastive learning with LoRA-enhanced GraphCodeBERT for effective vulnerability detection9
AI-driven digital twin-based security orchestration, automation and response for critical infrastructures9
SPVR: syntax-to-prompt vulnerability repair based on large language models9
Knowledge-enhanced software refinement: leveraging reinforcement learning for search-based quality engineering9
Automatic recognizing relevant fragments of APIs using API references8
Sampling configurations from software product lines via probability-aware diversification and SAT solving8
Detecting question relatedness in programming Q&A communities via bimodal feature fusion8
TM-fuzzer: fuzzing autonomous driving systems through traffic management8
BlindSpotFuzz: testing autonomous driving systems through blind-spot-guided fuzzing8
ByteEye: A smart contract vulnerability detection framework at bytecode level with graph neural networks7
Code comment generation based on graph neural network enhanced transformer model for code understanding in open-source software ecosystems7
A systematic decision-making framework for tackling quantum software engineering challenges7
Robust vulnerability detection with limited data via training-efficient adversarial reprogramming7
Predicting software defects using an extreme gradient boosting model tuned with reinforcement learning based spider wasp optimizer7
Assessing the effectiveness of recent closed-source large language models in fault localization and automated program repair7
Towards integrated dashboards for better management of human-centric issues in software development7
A systematic literature review on software security testing using metaheuristics7
Software defect prediction: future directions and challenges7
Decomposition then watermarking: Enhancing code traceability with dual-channel code watermarking7
Automated requirement contradiction detection through formal logic and LLMs6
Developing, testing, building and maintaining an Eclipse project based on EMF and Xtext6
Correction to: A class integration test order generation approach based on Sarsa algorithm6
Genetic algorithms and heuristics hybridized for software architecture recovery6
Comparing static analyses for improved semantic conflict detection6
SIFT: enhance the performance of vulnerability detection by incorporating structural knowledge and multi-task learning6
Optimizing regression testing with AHP-TOPSIS metric system for effective technical debt evaluation6
Coevolutionary scheduling of dynamic software project considering the new skill learning6
What information contributes to log-based anomaly detection? Insights from a configurable transformer-based approach6
The impact of feature selection and feature reduction techniques for code smell detection: A comprehensive empirical study5
Angels or demons: investigating and detecting decentralized financial traps on ethereum smart contracts5
Exploring the potential of general purpose LLMs in automated software refactoring: an empirical study5
Bug Classification in quantum software: a rule-based framework and its evaluation5
Energy efficient resource allocation based on virtual network embedding for IoT data generation5
qaAskeR$$^+$$: a novel testing method for question answering software via asking recursive questions5
Automatic Code Generation Techniques: A Systematic Literature Review5
An empirical study of data sampling techniques for just-in-time software defect prediction5
Freeze-and-mutate: abnormal sample identification for DL applications through model core analysis5
An empirical study of automated privacy requirements classification in issue reports5
Quantum software engineering and potential of quantum computing in software engineering research: a review4
Correction: Agile meets quantum: a novel genetic algorithm model for predicting the success of quantum software development project4
Actor-critic architecture based probabilistic meta-reinforcement learning for load balancing of controllers in software defined networks4
Future of software development with generative AI4
Domain-constrained synthesis of inconsistent key aspects in textual vulnerability descriptions4
MoTDeReL: Model-based testing through deep reinforcement learning for software systems specified through graph transformation4
Semi-supervised and unsupervised anomaly detection by mining numerical workflow relations from system logs4
Data-driven prototyping via natural-language-based GUI retrieval4
UI2HTML: utilizing LLM agents with chain of thought to convert UI into HTML code4
A model-based DevOps process for development of mathematical database cost models4
Investigating the bugs in reinforcement learning programs: Insights from Stack Overflow and GitHub4
A framework for conditional statement technical debt identification and description4
LEDGE : Leveraging dependency graphs for enhanced context aware documentation generation4
On the role of search budgets in model-based software refactoring optimization3
Standard-compliant security requirement assessment with attention-based models3
Data cleaning and machine learning: a systematic literature review3
Regression test selection in test-driven development3
Continuous integration of architectural performance models with parametric dependencies – the CIPM approach3
Test case prioritization using test case diversification and fault-proneness estimations3
OneLog: towards end-to-end software log anomaly detection3
Contractsentry: a static analysis tool for smart contract vulnerability detection3
Effort estimation in scrum using AI3
MalModel: hiding malicious payload in mobile deep learning models with black-box backdoor attack3
HMF: Enhancing reentrancy vulnerability detection and repair with a hybrid model framework3
MerIt: improving neural program synthesis by merging collective intelligence3
MP: motion program synthesis with machine learning interpretability and knowledge graph analogy3
Automating code generation for a new ecosystem: establishing baselines with large language model based code generation for ArkTS and HarmonyOS3
Mobile application review summarization using chain of density prompting3
SiaLog: detecting anomalies in software execution logs using the siamese network3
Detection of hidden privilege escalations in android3
Prompt enhance API recommendation: visualize the user’s real intention behind this query3
Sharif-TaaWS: a tool to automate unit testing of web services3
A systematic review of refactoring opportunities by software antipattern detection2
Improving anomaly detection in software logs through hybrid language modeling and reduced reliance on parser2
Agents in software engineering: survey, landscape, and vision2
Generative AI as an infrastructure copilot: automating Infrastructure-As-Code across the DevSecOps lifecycle2
A symbolic execution-based method to perform untargeted attack on feed-forward neural networks2
Architecting open, accountable, and trustworthy AI-IDEs2
Guest Editorial: Deep Learning in Open-Source Software Ecosystems2
Understanding the privacy-realisticness dilemma of the metaverse2
LLMs-based decision making for service recommendations and process automation under evolving ecosystem2
Context-aware code summarization with multi-relational graph neural network2
Self-admitted technical debt in R: detection and causes2
A study on cross-project fault prediction through resampling and feature reduction along with source projects selection2
Exploring the impact of data preprocessing techniques on composite classifier algorithms in cross-project defect prediction2
DESCG: data encoding scheme classification with GNN in binary analysis2
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
Using data mining techniques to generate test cases from graph transformation systems specifications2
WalletRadar: towards automating the detection of vulnerabilities in browser-based cryptocurrency wallets2
AdaComplete: improve DL-based code completion method’s domain adaptability2
Knowledge-guided large language models are trustworthy API recommenders2
Artificial intelligence and machine learning in enhancing software project management processes: A systematic literature review2
Enhancing multi-objective test case selection through the mutation operator2
Meta network attention-based feature matching for heterogeneous defect prediction2
Intelligent support for agile release planning: an empirical evaluation of ProjectION2
Automated verification of concurrent go programs via bounded model checking2
iALBMAD: an improved agile-based layered approach for mobile app development2
Using model-driven engineering to automate software language translation2
Machine learning based predictive modeling to effectively implement DevOps practices in software organizations2
JDExtractor: an automated approach for efficient extraction of defect-related methods in Java projects2
NexuSym: Marrying symbolic path finders with large language models2
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