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 2022-01-01 to 2026-01-01.)
ArticleCitations
$$AI^{2}$$: the next leap toward native language-based and explainable machine learning framework81
Enhancing mutation testing for deep neural networks: a novel approach to generating high-quality mutants62
Large language models for qualitative research in software engineering: exploring opportunities and challenges59
Parallelization of genetic algorithms for software architecture recovery54
Augmenting software quality assurance with AI and automation using PyTest-BDD47
Optimized design refactoring (ODR): a generic framework for automated search-based refactoring to optimize object-oriented software architectures47
DL4SC: a novel deep learning-based vulnerability detection framework for smart contracts46
A study on prompt design, advantages and limitations of ChatGPT for deep learning program repair35
Synthetic versus real: an analysis of critical scenarios for autonomous vehicle testing33
Graph based transfer learning with orthogonal tunning for functionality size insights29
On-the-fly unfolding with optimal exploration for linear temporal logic model checking of concurrent software and systems29
Multi-view adaptive contrastive learning for information retrieval based fault localization26
Enhancing embedded systems development with TS$$^-$$24
Enhancing the ability of LLMs for spaceborne equipment code generation via retrieval-augmented generation and contrastive learning23
Convolutional neural network for stock trading using technical indicators22
Machine learning approach for software defect prediction using multi-core parallel computing22
EmoReflex: an AI-powered emotion-centric developer insights platform18
Navigating bug cold start with contextual multi-armed bandits: an enhanced approach to developer assignment in software bug repositories18
Structural contrastive learning based automatic bug triaging18
Semantic context based coincidental correct test cases detection for fault localization17
Detecting non-natural language artifacts for de-noising bug reports17
Intelligent test case generation method for fuzzing IoT protocols based on LLM17
Technology adoption performance evaluation applied to testing industrial REST APIs17
Enhanced neighborhood metric for spreadsheet fault prediction17
A class integration test order generation approach based on Sarsa algorithm16
The arts and crafts of android adware across a decade16
A three-valued model abstraction framework for PCTL* stochastic model checking15
Reinforcement learning for mutation operator selection in automated program repair15
Which neural network makes more explainable decisions? An approach towards measuring explainability15
Tips: towards automating patch suggestion for vulnerable smart contracts15
PIONEER: improving the robustness of student models when compressing pre-trained models of code14
Graph neural networks for precise bug localization through structural program analysis14
Revisiting file context for source code summarization13
Multidimensional modeling driven from a domain language13
Test case selection and prioritization approach for automated regression testing using ontology and COSMIC measurement12
Toward efficient testing of graph neural networks via test input prioritization12
Test-suite-guided discovery of least privilege for cloud infrastructure as code11
Quality assessment framework to rank software projects11
Identification and visualization of variability implementations in object-oriented variability-rich systems: a symmetry-based approach11
A holistic approach to software fault prediction with dynamic classification11
Α tool for requirements engineering using ontologies and boilerplates10
Adaptive and accessible user interfaces for seniors through model-driven engineering10
Automated test data generation and stubbing method for C/C++ embedded projects10
RFMC-CS: a representation fusion based multi-view momentum contrastive learning framework for code search9
SPVR: syntax-to-prompt vulnerability repair based on large language models8
Knowledge-enhanced software refinement: leveraging reinforcement learning for search-based quality engineering8
Automatic recognizing relevant fragments of APIs using API references8
Assessing the effectiveness of recent closed-source large language models in fault localization and automated program repair8
TM-fuzzer: fuzzing autonomous driving systems through traffic management8
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
Source code change analysis with deep learning based programming model8
MCL-VD: Multi-modal contrastive learning with LoRA-enhanced GraphCodeBERT for effective vulnerability detection8
DICE simulation: a tool for software performance assessment at the design stage8
Towards integrated dashboards for better management of human-centric issues in software development8
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
Predicting software defects using an extreme gradient boosting model tuned with reinforcement learning based spider wasp optimizer7
A systematic decision-making framework for tackling quantum software engineering challenges7
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
Decomposition then watermarking: Enhancing code traceability with dual-channel code watermarking7
Comparing static analyses for improved semantic conflict detection6
Automated requirement contradiction detection through formal logic and LLMs6
A systematic literature review on software security testing using metaheuristics6
Optimizing regression testing with AHP-TOPSIS metric system for effective technical debt evaluation6
Leveraging structural properties of source code graphs for just-in-time bug prediction6
Correction to: A class integration test order generation approach based on Sarsa algorithm6
A model-based DevOps process for development of mathematical database cost models5
Exploring the potential of general purpose LLMs in automated software refactoring: an empirical study5
An empirical study of automated privacy requirements classification in issue reports5
Angels or demons: investigating and detecting decentralized financial traps on ethereum smart contracts5
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
Mathematical model of social behavior for the allocation of members in software development teams5
What information contributes to log-based anomaly detection? Insights from a configurable transformer-based approach5
Freeze-and-mutate: abnormal sample identification for DL applications through model core analysis5
Towards automatic business process redesign: an NLP based approach to extract redesign suggestions5
The impact of feature selection and feature reduction techniques for code smell detection: A comprehensive empirical study5
Bug Classification in quantum software: a rule-based framework and its evaluation5
qaAskeR$$^+$$: a novel testing method for question answering software via asking recursive questions5
An empirical study of data sampling techniques for just-in-time software defect prediction5
Coevolutionary scheduling of dynamic software project considering the new skill learning5
Automatic Code Generation Techniques: A Systematic Literature Review4
Investigating the bugs in reinforcement learning programs: Insights from Stack Overflow and GitHub4
Data cleaning and machine learning: a systematic literature review4
Gradient contouring and texture modelling based CAD system for improved TB classification4
Towards a behavior tree-based robotic software architecture with adjoint observation schemes for robotic software development4
Semi-supervised and unsupervised anomaly detection by mining numerical workflow relations from system logs4
Actor-critic architecture based probabilistic meta-reinforcement learning for load balancing of controllers in software defined networks4
Data-driven prototyping via natural-language-based GUI retrieval4
Future of software development with generative AI4
Detection of hidden privilege escalations in android4
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
A framework for conditional statement technical debt identification and description4
UI2HTML: utilizing LLM agents with chain of thought to convert UI into HTML code4
SiaLog: detecting anomalies in software execution logs using the siamese network4
Domain-constrained synthesis of inconsistent key aspects in textual vulnerability descriptions4
OneLog: towards end-to-end software log anomaly detection3
A systematic review of refactoring opportunities by software antipattern detection3
Contractsentry: a static analysis tool for smart contract vulnerability detection3
Sharif-TaaWS: a tool to automate unit testing of web services3
Prompt enhance API recommendation: visualize the user’s real intention behind this query3
Continuous integration of architectural performance models with parametric dependencies – the CIPM approach3
Self-admitted technical debt in R: detection and causes3
Test case prioritization using test case diversification and fault-proneness estimations3
Improving anomaly detection in software logs through hybrid language modeling and reduced reliance on parser3
HMF: Enhancing reentrancy vulnerability detection and repair with a hybrid model framework3
MalModel: hiding malicious payload in mobile deep learning models with black-box backdoor attack3
Mobile application review summarization using chain of density prompting3
On the role of search budgets in model-based software refactoring optimization3
WalletRadar: towards automating the detection of vulnerabilities in browser-based cryptocurrency wallets3
NexuSym: Marrying symbolic path finders with large language models3
Regression test selection in test-driven development3
MerIt: improving neural program synthesis by merging collective intelligence3
MP: motion program synthesis with machine learning interpretability and knowledge graph analogy3
Machine learning based predictive modeling to effectively implement DevOps practices in software organizations2
Static data-flow analysis for software product lines in C2
Artificial intelligence and machine learning in enhancing software project management processes: A systematic literature review2
AIDM: artificial intelligent for digital museum autonomous system with mixed reality and software-driven data collection and analysis2
A symbolic execution-based method to perform untargeted attack on feed-forward neural networks2
Using data mining techniques to generate test cases from graph transformation systems specifications2
FLASc: a formal algebra for labeled property graph schema2
JDExtractor: an automated approach for efficient extraction of defect-related methods in Java projects2
Knowledge-guided large language models are trustworthy API recommenders2
Efficient deep-reinforcement learning aware resource allocation in SDN-enabled fog paradigm2
Directed Artificial Bee Colony algorithm with revamped search strategy to solve global numerical optimization problems2
Guest Editorial: Deep Learning in Open-Source Software Ecosystems2
DESCG: data encoding scheme classification with GNN in binary analysis2
Using model-driven engineering to automate software language translation2
Enhancing multi-objective test case selection through the mutation operator2
AdaComplete: improve DL-based code completion method’s domain adaptability2
Context-aware code summarization with multi-relational graph neural network2
Understanding the privacy-realisticness dilemma of the metaverse2
iALBMAD: an improved agile-based layered approach for mobile app development2
Meta network attention-based feature matching for heterogeneous defect prediction2
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
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