OOIR: Observatory of International Research

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 2022-06-01 to 2026-06-01.)

Article	Citations
Enhancing mutation testing for deep neural networks: a novel approach to generating high-quality mutants	120
$$AI^{2}$$: the next leap toward native language-based and explainable machine learning framework	81
Large language models for qualitative research in software engineering: exploring opportunities and challenges	50
Optimized design refactoring (ODR): a generic framework for automated search-based refactoring to optimize object-oriented software architectures	39
Augmenting software quality assurance with AI and automation using PyTest-BDD	31
Parallelization of genetic algorithms for software architecture recovery	30
A study on prompt design, advantages and limitations of ChatGPT for deep learning program repair	30
DL4SC: a novel deep learning-based vulnerability detection framework for smart contracts	30
Toward intelligent runtime adaptation in microservices: Empirical trade-off analysis and a hybrid AI framework	29
On-the-fly unfolding with optimal exploration for linear temporal logic model checking of concurrent software and systems	27
Multi-view adaptive contrastive learning for information retrieval based fault localization	24
Machine learning approach for software defect prediction using multi-core parallel computing	23
Graph based transfer learning with orthogonal tunning for functionality size insights	22
Enhancing the ability of LLMs for spaceborne equipment code generation via retrieval-augmented generation and contrastive learning	21
Enhancing embedded systems development with TS$$^-$$	20
EmoReflex: an AI-powered emotion-centric developer insights platform	19
Navigating bug cold start with contextual multi-armed bandits: an enhanced approach to developer assignment in software bug repositories	19
Synthetic versus real: an analysis of critical scenarios for autonomous vehicle testing	19
Semantic context based coincidental correct test cases detection for fault localization	18
Technology adoption performance evaluation applied to testing industrial REST APIs	17
Detecting non-natural language artifacts for de-noising bug reports	17
Structural contrastive learning based automatic bug triaging	17
DIR-SMOTE: a density-influence resampling framework for imbalanced code smell detection	17
Enhanced neighborhood metric for spreadsheet fault prediction	17
A class integration test order generation approach based on Sarsa algorithm	16

Challenges of deploying code embeddings: an industrial case study on method name generation	16
Intelligent test case generation method for fuzzing IoT protocols based on LLM	16
Reinforcement learning for mutation operator selection in automated program repair	15
The arts and crafts of android adware across a decade	15
Knowledge distillation-driven commit-aware multimodal learning for software vulnerability detection	15
Test case selection and prioritization approach for automated regression testing using ontology and COSMIC measurement	14
Tips: towards automating patch suggestion for vulnerable smart contracts	14
Multidimensional modeling driven from a domain language	13
Revisiting file context for source code summarization	12
Graph neural networks for precise bug localization through structural program analysis	12
Test-suite-guided discovery of least privilege for cloud infrastructure as code	12
PIONEER: improving the robustness of student models when compressing pre-trained models of code	12
Unveiling hidden permissions: an LLM framework for detecting privacy and security concerns in AI mobile apps reviews	11
A holistic approach to software fault prediction with dynamic classification	11
Toward efficient testing of graph neural networks via test input prioritization	11
Automated test data generation and stubbing method for C/C++ embedded projects	10
SPVR: syntax-to-prompt vulnerability repair based on large language models	10
RFMC-CS: a representation fusion based multi-view momentum contrastive learning framework for code search	10
Knowledge-enhanced software refinement: leveraging reinforcement learning for search-based quality engineering	10
AI-driven digital twin-based security orchestration, automation and response for critical infrastructures	9
Adaptive and accessible user interfaces for seniors through model-driven engineering	9
Between law and code: challenges and opportunities for automating privacy assessments	9
MCL-VD: Multi-modal contrastive learning with LoRA-enhanced GraphCodeBERT for effective vulnerability detection	9
Α tool for requirements engineering using ontologies and boilerplates	9
Sampling configurations from software product lines via probability-aware diversification and SAT solving	8
Decomposition then watermarking: Enhancing code traceability with dual-channel code watermarking	8
Automatic recognizing relevant fragments of APIs using API references	8
Towards integrated dashboards for better management of human-centric issues in software development	8
TM-fuzzer: fuzzing autonomous driving systems through traffic management	8
Detecting question relatedness in programming Q&A communities via bimodal feature fusion	8
Code comment generation based on graph neural network enhanced transformer model for code understanding in open-source software ecosystems	8
ByteEye: A smart contract vulnerability detection framework at bytecode level with graph neural networks	7
A systematic decision-making framework for tackling quantum software engineering challenges	7
BlindSpotFuzz: testing autonomous driving systems through blind-spot-guided fuzzing	7
SIFT: enhance the performance of vulnerability detection by incorporating structural knowledge and multi-task learning	7
Safety-critical scenario generation for automated testing of autonomous driving systems	7
Robust vulnerability detection with limited data via training-efficient adversarial reprogramming	7
Assessing the effectiveness of recent closed-source large language models in fault localization and automated program repair	7
Software defect prediction: future directions and challenges	7
Correction to: A class integration test order generation approach based on Sarsa algorithm	6
A systematic literature review on software security testing using metaheuristics	6
Developing, testing, building and maintaining an Eclipse project based on EMF and Xtext	6
New criteria for test case prioritization for software product lines. A replication and extension study	6
Coevolutionary scheduling of dynamic software project considering the new skill learning	6
Optimizing regression testing with AHP-TOPSIS metric system for effective technical debt evaluation	6
Automated requirement contradiction detection through formal logic and LLMs	6
Energy efficient resource allocation based on virtual network embedding for IoT data generation	6
Exploring the potential of general purpose LLMs in automated software refactoring: an empirical study	6
Comparing static analyses for improved semantic conflict detection	6
Genetic algorithms and heuristics hybridized for software architecture recovery	6

Predicting software defects using an extreme gradient boosting model tuned with reinforcement learning based spider wasp optimizer	6
Freeze-and-mutate: abnormal sample identification for DL applications through model core analysis	5
An empirical study of automated privacy requirements classification in issue reports	5
The impact of feature selection and feature reduction techniques for code smell detection: A comprehensive empirical study	5
qaAskeR$$^+$$: a novel testing method for question answering software via asking recursive questions	5
What information contributes to log-based anomaly detection? Insights from a configurable transformer-based approach	5
An empirical study of data sampling techniques for just-in-time software defect prediction	5
Angels or demons: investigating and detecting decentralized financial traps on ethereum smart contracts	5
Exploring the security of short-term and long-term contextual memory in industrial smart customer agent	5
A framework for conditional statement technical debt identification and description	4
Future of software development with generative AI	4
Bug Classification in quantum software: a rule-based framework and its evaluation	4
A model-based DevOps process for development of mathematical database cost models	4
Methodological pitfalls in predictive mutation testing: threats, impact and open challenges	4
Investigating the bugs in reinforcement learning programs: Insights from Stack Overflow and GitHub	4
SiaLog: detecting anomalies in software execution logs using the siamese network	4
Actor-critic architecture based probabilistic meta-reinforcement learning for load balancing of controllers in software defined networks	4
MoTDeReL: Model-based testing through deep reinforcement learning for software systems specified through graph transformation	4
Semi-supervised and unsupervised anomaly detection by mining numerical workflow relations from system logs	4
Domain-constrained synthesis of inconsistent key aspects in textual vulnerability descriptions	4
Data-driven prototyping via natural-language-based GUI retrieval	4
Correction: Agile meets quantum: a novel genetic algorithm model for predicting the success of quantum software development project	4
Measuring security posture of NAS third-party packages ecosystem: an empirical analysis	4
Quantum software engineering and potential of quantum computing in software engineering research: a review	4
Automatic Code Generation Techniques: A Systematic Literature Review	4
Data cleaning and machine learning: a systematic literature review	3
Detection of hidden privilege escalations in android	3
HMF: Enhancing reentrancy vulnerability detection and repair with a hybrid model framework	3
Mobile application review summarization using chain of density prompting	3
Standard-compliant security requirement assessment with attention-based models	3
MP: motion program synthesis with machine learning interpretability and knowledge graph analogy	3
Prompt enhance API recommendation: visualize the user’s real intention behind this query	3
UI2HTML: utilizing LLM agents with chain of thought to convert UI into HTML code	3
MerIt: improving neural program synthesis by merging collective intelligence	3
Effort estimation in scrum using AI	3
Continuous integration of architectural performance models with parametric dependencies – the CIPM approach	3
Automating code generation for a new ecosystem: establishing baselines with large language model based code generation for ArkTS and HarmonyOS	3
Test case prioritization using test case diversification and fault-proneness estimations	3
Causal modeling in software defect prediction: bridging expert knowledge and novice insight	3
MalModel: hiding malicious payload in mobile deep learning models with black-box backdoor attack	3
Regression test selection in test-driven development	3
LEDGE : Leveraging dependency graphs for enhanced context aware documentation generation	3
On the role of search budgets in model-based software refactoring optimization	3
OneLog: towards end-to-end software log anomaly detection	3
Sharif-TaaWS: a tool to automate unit testing of web services	3
Using data mining techniques to generate test cases from graph transformation systems specifications	2
LLMs-based decision making for service recommendations and process automation under evolving ecosystem	2
Improving anomaly detection in software logs through hybrid language modeling and reduced reliance on parser	2
A systematic review of refactoring opportunities by software antipattern detection	2
Artificial intelligence and machine learning in enhancing software project management processes: A systematic literature review	2
Machine learning based predictive modeling to effectively implement DevOps practices in software organizations	2
Enhancing multi-objective test case selection through the mutation operator	2
Building and validating deep learning models for forecasting the quality of cloud services	2
Assessing the effectiveness of large language models for Java vulnerability repair: A comparative study	2
Knowledge-guided large language models are trustworthy API recommenders	2
Context-aware code summarization with multi-relational graph neural network	2
Contractsentry: a static analysis tool for smart contract vulnerability detection	2
Self-admitted technical debt in R: detection and causes	2
Understanding the privacy-realisticness dilemma of the metaverse	2
Guest Editorial: Deep Learning in Open-Source Software Ecosystems	2
SolQDebug: Debug solidity quickly for interactive immediacy in smart contract development	2
Meta network attention-based feature matching for heterogeneous defect prediction	2
iALBMAD: an improved agile-based layered approach for mobile app development	2
AdaComplete: improve DL-based code completion method’s domain adaptability	2
WalletRadar: towards automating the detection of vulnerabilities in browser-based cryptocurrency wallets	2
NexuSym: Marrying symbolic path finders with large language models	2
JDExtractor: an automated approach for efficient extraction of defect-related methods in Java projects	2
Using model-driven engineering to automate software language translation	2
Agents in software engineering: survey, landscape, and vision	2
Architecting open, accountable, and trustworthy AI-IDEs	2
A study on cross-project fault prediction through resampling and feature reduction along with source projects selection	2