Automated Software Engineering

Article	Citations
Enhancing mutation testing for deep neural networks: a novel approach to generating high-quality mutants	145
$$AI^{2}$$: the next leap toward native language-based and explainable machine learning framework	87
Large language models for qualitative research in software engineering: exploring opportunities and challenges	56
Optimized design refactoring (ODR): a generic framework for automated search-based refactoring to optimize object-oriented software architectures	48
Toward intelligent runtime adaptation in microservices: Empirical trade-off analysis and a hybrid AI framework	36
SENTRY: an adversarial robust anomaly detection approach in system log based on pattern unit extraction and time-step masking	34
Augmenting software quality assurance with AI and automation using PyTest-BDD	34
A study on prompt design, advantages and limitations of ChatGPT for deep learning program repair	33
DL4SC: a novel deep learning-based vulnerability detection framework for smart contracts	31
Parallelization of genetic algorithms for software architecture recovery	30
On-the-fly unfolding with optimal exploration for linear temporal logic model checking of concurrent software and systems	28
Graph based transfer learning with orthogonal tunning for functionality size insights	28
Enhancing the ability of LLMs for spaceborne equipment code generation via retrieval-augmented generation and contrastive learning	26
Enhancing embedded systems development with TS$$^-$$	25
Multi-view adaptive contrastive learning for information retrieval based fault localization	23
Navigating bug cold start with contextual multi-armed bandits: an enhanced approach to developer assignment in software bug repositories	22
Synthetic versus real: an analysis of critical scenarios for autonomous vehicle testing	22
Enhanced neighborhood metric for spreadsheet fault prediction	21
Challenges of deploying code embeddings: an industrial case study on method name generation	20
DIR-SMOTE: a density-influence resampling framework for imbalanced code smell detection	19
Intelligent test case generation method for fuzzing IoT protocols based on LLM	18
Structural contrastive learning based automatic bug triaging	18
Semantic context based coincidental correct test cases detection for fault localization	18
Reinforcement learning for mutation operator selection in automated program repair	17
Detecting non-natural language artifacts for de-noising bug reports	17

The arts and crafts of android adware across a decade	17
EmoReflex: an AI-powered emotion-centric developer insights platform	17
Tips: towards automating patch suggestion for vulnerable smart contracts	17
Technology adoption performance evaluation applied to testing industrial REST APIs	17
Knowledge distillation-driven commit-aware multimodal learning for software vulnerability detection	16
A class integration test order generation approach based on Sarsa algorithm	15
Multidimensional modeling driven from a domain language	14
Revisiting file context for source code summarization	13
PIONEER: improving the robustness of student models when compressing pre-trained models of code	13
Test case selection and prioritization approach for automated regression testing using ontology and COSMIC measurement	13
A holistic approach to software fault prediction with dynamic classification	12
Toward efficient testing of graph neural networks via test input prioritization	12
Test-suite-guided discovery of least privilege for cloud infrastructure as code	12
Graph neural networks for precise bug localization through structural program analysis	12
Unveiling hidden permissions: an LLM framework for detecting privacy and security concerns in AI mobile apps reviews	11
SPVR: syntax-to-prompt vulnerability repair based on large language models	11
Α tool for requirements engineering using ontologies and boilerplates	11
Knowledge-enhanced software refinement: leveraging reinforcement learning for search-based quality engineering	11
Automated test data generation and stubbing method for C/C++ embedded projects	11
CoFiLoc: A Coarse-to-fine LLM-based framework for method-level bug localization	11
AI-driven digital twin-based security orchestration, automation and response for critical infrastructures	10
Between law and code: challenges and opportunities for automating privacy assessments	10
MCL-VD: Multi-modal contrastive learning with LoRA-enhanced GraphCodeBERT for effective vulnerability detection	10
RFMC-CS: a representation fusion based multi-view momentum contrastive learning framework for code search	10
Adaptive and accessible user interfaces for seniors through model-driven engineering	10
Detecting question relatedness in programming Q&A communities via bimodal feature fusion	9
Towards integrated dashboards for better management of human-centric issues in software development	9
TM-fuzzer: fuzzing autonomous driving systems through traffic management	9
Decomposition then watermarking: Enhancing code traceability with dual-channel code watermarking	9
Robust vulnerability detection with limited data via training-efficient adversarial reprogramming	8
Automatic recognizing relevant fragments of APIs using API references	8
Sampling configurations from software product lines via probability-aware diversification and SAT solving	8
Safety-critical scenario generation for automated testing of autonomous driving systems	8
Software defect prediction: future directions and challenges	8
Assessing the effectiveness of recent closed-source large language models in fault localization and automated program repair	8
A systematic decision-making framework for tackling quantum software engineering challenges	8
Comparing static analyses for improved semantic conflict detection	7
Predicting software defects using an extreme gradient boosting model tuned with reinforcement learning based spider wasp optimizer	7
Automated requirement contradiction detection through formal logic and LLMs	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
Developing, testing, building and maintaining an Eclipse project based on EMF and Xtext	7
ByteEye: A smart contract vulnerability detection framework at bytecode level with graph neural networks	7
A systematic literature review on software security testing using metaheuristics	7
Genetic algorithms and heuristics hybridized for software architecture recovery	7
Optimizing regression testing with AHP-TOPSIS metric system for effective technical debt evaluation	7
New criteria for test case prioritization for software product lines. A replication and extension study	7
Energy efficient resource allocation based on virtual network embedding for IoT data generation	6
Defending neural code understanding models by eliminating backdoors	6
Angels or demons: investigating and detecting decentralized financial traps on ethereum smart contracts	6

Coevolutionary scheduling of dynamic software project considering the new skill learning	6
Freeze-and-mutate: abnormal sample identification for DL applications through model core analysis	6
An empirical study of automated privacy requirements classification in issue reports	6
Exploring the potential of general purpose LLMs in automated software refactoring: an empirical study	6
Correction to: A class integration test order generation approach based on Sarsa algorithm	6
Exploring the security of short-term and long-term contextual memory in industrial smart customer agent	6
qaAskeR$$^+$$: a novel testing method for question answering software via asking recursive questions	6
The impact of feature selection and feature reduction techniques for code smell detection: A comprehensive empirical study	6
What information contributes to log-based anomaly detection? Insights from a configurable transformer-based approach	6
An empirical study of data sampling techniques for just-in-time software defect prediction	6
Measuring security posture of NAS third-party packages ecosystem: an empirical analysis	5
Automatic Code Generation Techniques: A Systematic Literature Review	5
Semi-supervised and unsupervised anomaly detection by mining numerical workflow relations from system logs	5
MoTDeReL: Model-based testing through deep reinforcement learning for software systems specified through graph transformation	5
A model-based DevOps process for development of mathematical database cost models	5
Bug Classification in quantum software: a rule-based framework and its evaluation	5
Combating toxic language: A review of LLM-based strategies for software engineering	5
Methodological pitfalls in predictive mutation testing: threats, impact and open challenges	5
Quantum software engineering and potential of quantum computing in software engineering research: a review	5
Actor-critic architecture based probabilistic meta-reinforcement learning for load balancing of controllers in software defined networks	5
Correction: Agile meets quantum: a novel genetic algorithm model for predicting the success of quantum software development project	4
Domain-constrained synthesis of inconsistent key aspects in textual vulnerability descriptions	4
Future of software development with generative AI	4
Causal modeling in software defect prediction: bridging expert knowledge and novice insight	4
Regression test selection in test-driven development	4
UI2HTML: utilizing LLM agents with chain of thought to convert UI into HTML code	4
SiaLog: detecting anomalies in software execution logs using the siamese network	4
A framework for conditional statement technical debt identification and description	4
Data cleaning and machine learning: a systematic literature review	4
LEDGE : Leveraging dependency graphs for enhanced context aware documentation generation	4
MalModel: hiding malicious payload in mobile deep learning models with black-box backdoor attack	4
Investigating the bugs in reinforcement learning programs: Insights from Stack Overflow and GitHub	4
Data-driven prototyping via natural-language-based GUI retrieval	4
Actionable insights from developer behavior: a practical approach to software defect prediction	4
Leveraging text generation for enhanced user story quality	4
HMF: Enhancing reentrancy vulnerability detection and repair with a hybrid model framework	4
MP: motion program synthesis with machine learning interpretability and knowledge graph analogy	3
OneLog: towards end-to-end software log anomaly detection	3
Prompt enhance API recommendation: visualize the user’s real intention behind this query	3
Test case prioritization using test case diversification and fault-proneness estimations	3
Continuous integration of architectural performance models with parametric dependencies – the CIPM approach	3
Context-aware code summarization with multi-relational graph neural network	3
Artificial intelligence and machine learning in enhancing software project management processes: A systematic literature review	3
A systematic review of refactoring opportunities by software antipattern detection	3
SemanCall: recovery of indirect calls in binaries via semantic graph deep matching	3
Effort estimation in scrum using AI	3
Detection of hidden privilege escalations in android	3
Contractsentry: a static analysis tool for smart contract vulnerability detection	3
Sharif-TaaWS: a tool to automate unit testing of web services	3
WalletRadar: towards automating the detection of vulnerabilities in browser-based cryptocurrency wallets	3
Improving anomaly detection in software logs through hybrid language modeling and reduced reliance on parser	3
LLMs-based decision making for service recommendations and process automation under evolving ecosystem	3
Automating code generation for a new ecosystem: establishing baselines with large language model based code generation for ArkTS and HarmonyOS	3
Self-admitted technical debt in R: detection and causes	3
Mobile application review summarization using chain of density prompting	3
Standard-compliant security requirement assessment with attention-based models	3
On the role of search budgets in model-based software refactoring optimization	3
VulMamba: multi-dimensional state space modeling for software vulnerability detection via self-supervised contrastive learning	3
NexuSym: Marrying symbolic path finders with large language models	3
Knowledge-guided large language models are trustworthy API recommenders	3
GenerativeGI: creating generative art with genetic improvement	2
BRMDS: an LLM-based multi-dimensional summary generation approach for bug reports	2
Measuring the impact of predictive models on the software project: A cost, service time, and risk evaluation of a metric-based defect severity prediction model	2
Using model-driven engineering to automate software language translation	2
A study on cross-project fault prediction through resampling and feature reduction along with source projects selection	2
Understanding the privacy-realisticness dilemma of the metaverse	2
JDExtractor: an automated approach for efficient extraction of defect-related methods in Java projects	2
Guest Editorial: Deep Learning in Open-Source Software Ecosystems	2
MultiMend: multilingual program repair with context augmentation and multi-hunk patch generation	2
An extensive study of the effects of different deep learning models on code vulnerability detection in Python code	2
UpgradeShield: Detecting logic-state in-consistencies in smart contract upgrades	2
DESCG: data encoding scheme classification with GNN in binary analysis	2
Generative AI as an infrastructure copilot: automating Infrastructure-As-Code across the DevSecOps lifecycle	2
SolQDebug: Debug solidity quickly for interactive immediacy in smart contract development	2
Using data mining techniques to generate test cases from graph transformation systems specifications	2
Assessing the effectiveness of large language models for Java vulnerability repair: A comparative study	2
Enhancing multi-objective test case selection through the mutation operator	2
Agents in software engineering: survey, landscape, and vision	2
Architecting open, accountable, and trustworthy AI-IDEs	2
QUARE: towards a question-answering model for requirements elicitation	2

HQLgen: deep learning based HQL query generation from program context	2
Intelligent support for agile release planning: an empirical evaluation of ProjectION	2
Exploring the impact of data preprocessing techniques on composite classifier algorithms in cross-project defect prediction	2
Building and validating deep learning models for forecasting the quality of cloud services	2
Meta network attention-based feature matching for heterogeneous defect prediction	2
AdaComplete: improve DL-based code completion method’s domain adaptability	2
Machine learning based predictive modeling to effectively implement DevOps practices in software organizations	2
iALBMAD: an improved agile-based layered approach for mobile app development	2
Automated verification of concurrent go programs via bounded model checking	2
From code to insight: studying code representation techniques for ML-based God class detection to support intelligent IDEs	2