default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDAutomated Software Engineering, Volume 33
Volume 33, Number 1, June 2026
- Rui He, Liang Zhang, Liangqing Lyu, Changbin Xue:
Enhancing the ability of LLMs for spaceborne equipment code generation via retrieval-augmented generation and contrastive learning. 1 - Haitao Sun, Ying Wang, Hai Yu, Zhiliang Zhu:
Enhanced neighborhood metric for spreadsheet fault prediction. 2 - Yinan Chen
, Yuan Huang, Xiangping Chen, Pengfei Shen, Lei Yun:
GPTVD: vulnerability detection and analysis method based on LLM's chain of thoughts. 3 - Maha Alharbi, Mohammad R. Alshayeb:
Automatic Code Generation Techniques: A Systematic Literature Review. 4 - Mengliang Li, Qiang Shen, Xiaoxue Ren, Han Fu, Zhuo Li, Jianling Sun:
HMF: Enhancing reentrancy vulnerability detection and repair with a hybrid model framework. 5 - Ming Zhong, Zisheng Zeng, Yijia Guo, Dandan Zhao, Bo Zhang, Shenghong Li, Hao Peng, Zhiguo Ding:
Intelligent test case generation method for fuzzing IoT protocols based on LLM. 6 - Zhenyu Qi, Haotang Li, Hao Qin, Kebin Peng, Sen He, Xue Qin:
Harnessing large language models for virtual reality exploration testing: a case study. 7 - Omur Sahin, Man Zhang, Andrea Arcuri:
Causes and effects of fitness landscapes in system test generation: a replication study. 8 - Jiayin Song, Yike Li, Yunzhe Tian, Haoxuan Ma, Honglei Li, Jie Zuo, Jiqiang Liu, Wenjia Niu:
Investigating the bugs in reinforcement learning programs: Insights from Stack Overflow and GitHub. 9 - Yayun Zhang, Yuying Li, Minying Fang, Xing Yuan, Junwei Du:
BRMDS: an LLM-based multi-dimensional summary generation approach for bug reports. 10 - Xiangyue Liu, Xinwei Liu, Lili Bo, Xiaoxue Wu, Yun Yang, Xiaobing Sun, Feng Zhou:
PIONEER: improving the robustness of student models when compressing pre-trained models of code. 11 - Yicheng Sun, Jacky Keung, Zhen Yang, Shuo Liu, Hi Kuen Yu:
Improving anomaly detection in software logs through hybrid language modeling and reduced reliance on parser. 12 - Nevena Rankovic, Dragica Rankovic, Gonzalo Nápoles, Federico Zamberlan:
Graph based transfer learning with orthogonal tunning for functionality size insights. 13 - Lichen Yang, Qiang Wang, Zhonghao Yang, Daojing He, Yu Li:
Toward efficient testing of graph neural networks via test input prioritization. 14 - Guocang Yang, Dawei Yuan, Tao Zhang, Zhenghan Chen:
A sign language to SQL query translation system for enhancing database accessibility. 15 - Haibo Lin, Zhong Li, Ruihua Ji, Minxue Pan, Tian Zhang, Nan Wu, Xuandong Li:
Decomposition then watermarking: Enhancing code traceability with dual-channel code watermarking. 16 - Leila Yousofvand, Seyfollah Soleimani, Vahid Rafe, Amin Nikanjam:
Graph neural networks for precise bug localization through structural program analysis. 17 - J. Andres Diaz-Pace, Daniele Di Pompeo, Michele Tucci:
On the role of search budgets in model-based software refactoring optimization. 18 - Samet Tenekeci, Hüseyin Ünlü, Bedir Arda Gül, Damla Keles, Murat Küük, Onur Demirörs:
Automating software size measurement from python code using language models. 19 - Liam Todd, Kashumi Madampe, Hourieh Khalajzadeh, Mojtaba Shahin, John Grundy:
Towards integrated dashboards for better management of human-centric issues in software development. 20 - Ruxin Zhang, Shanxin Zhang, Linbo Xie:
A systematic exploration of C-to-rust code translation based on large language models: prompt strategies and automated repair. 21 - Tianyang Liu, Jiawei Ye, Weixing Ji:
JDExtractor: an automated approach for efficient extraction of defect-related methods in Java projects. 22 - Xiaofei Zhao, Hua Wang, Jieqiong Ding, Zhiming Hu, Qingqing Tian, Ying Wang:
Augmenting software quality assurance with AI and automation using PyTest-BDD. 23 - Jinni Yang, Shuang Liu, Surong Dai, Yaozheng Fang, Kunpeng Xie, Ye Lu:
ByteEye: A smart contract vulnerability detection framework at bytecode level with graph neural networks. 24 - Renze Lin, Ran Wang, Guanghuan Hu, Xianghua Xu:
LMFuzz: Program repair fuzzing based on large language models. 25 - Bo Wang, Ming Deng, Mingda Chen, Youfang Lin, Jianyi Zhou, Jie M. Zhang:
Assessing the effectiveness of recent closed-source large language models in fault localization and automated program repair. 26 - Raja Oueslati, Mohamed Wajdi Ouertani, Ghaith Manita, Amit Chhabra:
Predicting software defects using an extreme gradient boosting model tuned with reinforcement learning based spider wasp optimizer. 27 - Jiayi Hua, Kailong Wang, Meizhen Wang, Guangdong Bai, Xiapu Luo, Haoyu Wang:
MalModel: hiding malicious payload in mobile deep learning models with black-box backdoor attack. 28 - Chunying Zhou, Xiaoyuan Xie, Gong Chen, Peng He, Bing Li:
Multi-view adaptive contrastive learning for information retrieval based fault localization. 29 - Chao Wang, Tianming Liu, Yanjie Zhao, Lin Zhang, Xiaoning Du, Li Li, Haoyu Wang:
The arts and crafts of android adware across a decade. 30 - Usama Ali, Mehwish Naseer:
Artificial intelligence and machine learning in enhancing software project management processes: A systematic literature review. 31 - Abdulmajeed Alameer, Amal Alazba:
Predicting software refactoring opportunities using two-level TB-Stacking ensemble models. 32 - Abdelkader Ouared, Madeth May, Claudine Piau-Toffolon, Nicolas Dugué:
Automating transparent learner profiling through explainable AI. 33 - Samet Tenekeci, Hüseyin Ünlü, Bedir Arda Gül, Damla Keles, Murat Küçük, Onur Demirörs:
Correction: Automating software size measurement from python code using language models. 34 - Linyi Han, Shidong Pan, Zhenchang Xing, Sofonias Yitagesu, Xiaowang Zhang, Zhiyong Feng, Jiamou Sun, Qing Huang:
Domain-constrained synthesis of inconsistent key aspects in textual vulnerability descriptions. 35 - Yu Xie, Zhiyi Zhang, Yongming Yao, Chen Liu, Wenting Chen, Zhiqiu Huang:
Enhancing mutation testing for deep neural networks: a novel approach to generating high-quality mutants. 36 - Saikat Mondal, Gias Uddin, Chanchal K. Roy:
Automatic assistance to mitigate rollback inconsistencies in collaborative edits. 37 - Ruoke Wang, Zongjie Li, Cuiyun Gao, Chaozheng Wang, Yang Xiao, Xuan Wang:
SPVR: syntax-to-prompt vulnerability repair based on large language models. 38 - Mir Mohammad Yousuf, Shabir Ahmad Sofi:
Bug Classification in quantum software: a rule-based framework and its evaluation. 39
Volume 33, Number 2, December 2026
- Galileu Santos de Jesus, Paulo Borba, Rodrigo Bonifácio, Matheus Barbosa de Oliveira:
Comparing static analyses for improved semantic conflict detection. 40 - Tong Li, Qixiang Zhou, Fangqi Dong, Tianai Zhang, Yunduo Wang:
An interactive and AI-enhanced framework for semi-automatically generating iStar goal models. 41 - Rhodes Massenon, Ishaya Gambo, Javed Ali Khan:
Unveiling hidden permissions: an LLM framework for detecting privacy and security concerns in AI mobile apps reviews. 42 - Duc S. H. Nguyen, Minh T. Nguyen, Phuong T. Nguyen, Juri Di Rocco, Davide Di Ruscio:
Automated summarization of software documents: an LLM-based multi-agent approach. 43 - Syed Tauhid Ullah Shah, Mohamad Hussein, Ann Barcomb, Mohammad Moshirpour:
QuaRUM: qualitative data analysis-based retrieval-augmented UML domain model from requirements documents. 44 - Mugdha Khedkar, Ambuj Kumar Mondal, Eric Bodden:
A study of privacy-related data collected by Android apps. 45 - Tong Li, Chaoqun Wen, Xinran Zhang:
From interaction to evolution: A behavior-driven framework for automated software requirements elicitation. 46 - Zhenzhou Tian, Chuang Zhang, Yunpeng Hui, Jiaze Sun, Yanping Chen, Lingwei Chen:
Robust vulnerability detection with limited data via training-efficient adversarial reprogramming. 47 - Rim Mahouachi:
Knowledge distillation-driven commit-aware multimodal learning for software vulnerability detection. 48 - Víctor Pérez-Piqueras, Pablo Bermejo, José A. Gámez:
Intelligent support for agile release planning: an empirical evaluation of ProjectION. 49 - Yingbei Niu, Soo-See Chai:
Design and optimization of a test case generation algorithm for real-time embedded systems based on adaptive Q-Learning. 50 - Mihir Panchal, Arnav Deo, Varad Prabhu, Prinkal Doshi, Chetashri Bhadane, Pranit Bari:
LEDGE : Leveraging dependency graphs for enhanced context aware documentation generation. 51 - Sali Moussa, Junyan Ma, Muhammad Umer Abbasi:
BlindSpotFuzz: testing autonomous driving systems through blind-spot-guided fuzzing. 52 - Benedikt Fein, Maximilian Jungwirth, Gordon Fraser, Florian Kandlinger:
Challenges of deploying code embeddings: an industrial case study on method name generation. 53 - Li-Na Zhu, Zuo-Chang Zhang:
A method of modeling and clustering program "Golden Run" to predict its fault behavior. 54 - Rongcun Wang, Chenkun Chang, Xiang Chen, Yuan Tian, Rubing Huang:
Deeply fusing transformer model and information retrieval with cross attention for source code summarization. 55 - Mugdha Khedkar, Michael Schlichtig, Nihad Atakishiyev, Eric Bodden:
Between law and code: challenges and opportunities for automating privacy assessments. 56 - Guodong Fan, Shizhan Chen, Hongyue Wu, Cuiyun Gao, Jian Wang, Zhiyong Feng:
LLMs-based decision making for service recommendations and process automation under evolving ecosystem. 57 - Matteo Esposito, Mikel Robredo, Alexander Bakhtin, Davide Taibi, Valentina Lenarduzzi:
Generative AI as an infrastructure copilot: automating Infrastructure-As-Code across the DevSecOps lifecycle. 58 - Mehmet Cem Aytekin, Fatma Gizem Yilmaz, Mustafa Umut Demirezen:
Automating code generation for a new ecosystem: establishing baselines with large language model based code generation for ArkTS and HarmonyOS. 59 - Maria Rasheed, Iman Fatima, Darain Fatima, Muhammad Hamid, Fahima Hajjej:
Effort estimation in scrum using AI. 60 - Phu Nguyen, Ashish Rauniyar, Jone Bartel, Jan Laufer, Christos Dalamagkas, Klaus Pohl:
AI-driven digital twin-based security orchestration, automation and response for critical infrastructures. 61 - Wei Li, Yuxin Su, Yuhong Nan, Kaiwen Ning, Jingwen Zhang, Jiajing Wu, Zibin Zheng:
UpgradeShield: Detecting logic-state in-consistencies in smart contract upgrades. 62 - Albert Contreras, Esther Guerra, Juan de Lara:
Architecting open, accountable, and trustworthy AI-IDEs. 63 - Lorenzo Bettini:
Developing, testing, building and maintaining an Eclipse project based on EMF and Xtext. 64 - Yu Zhang, Kaiwen Zhang, Guanjun Liu, Yuandao Cai, Shengchao Qin:
Two birds one stone: Effective static detection of resource and communication deadlocks in Rust programs. 65 - Aftab Alam Janisar, Khairul Shafee bin Kalid, Aliza bt Sarlan, Abdul Rehman Gilal, Ayman Meidan, Shariq Hussain, Aliyu Yusuf:
Standard-compliant security requirement assessment with attention-based models. 66 - Roman Bögli, Alexander Boll, Alexander Schultheiß, Timo Kehrer:
Community-driven variability: characterizing a new software variability paradigm. 67 - Simin Ghasemi, Maryam Asgari Araghi, Vahid Rafe, Reiko Heckel:
MoTDeReL: Model-based testing through deep reinforcement learning for software systems specified through graph transformation. 68 - Reza Gharibi, Mohammad Hadi Sadreddini, Seyed Mostafa Fakhrahmad:
MultiMend: multilingual program repair with context augmentation and multi-hunk patch generation. 69 - Taicheng Huang, Zhanhui Ren, Yuan Huang, Xiangping Chen, Yi Liu, Zibin Zheng:
Hallucination detection in LLM code generation: A sampling-based consensus verification approach. 70
Volume 33, Number 3, November 2026
- Andrada Georgia Tiutin, Andreea Vescan:
New criteria for test case prioritization for software product lines. A replication and extension study. 71 - Muhammad Laiq, Felix Dobslaw:
Automatic techniques for issue report classification: A systematic mapping study. 72 - George Bishop, Suranjan Chakraborty, Honghe Zhou, Josh Dehlinger, Lin Deng, Jonah Lin, Benjamin Kist:
On-demand generation of high-quality software engineering datasets using large language models and ontologies. 73 - Jianbin Xu, Cheng Huang, Yutong Zeng, Jianguo Zhao, Tao Leng, Pin Yang:
Measuring security posture of NAS third-party packages ecosystem: an empirical analysis. 74 - Obieda Ananbeh, Wala Alnozami, Dae-Kyoo Kim:
Assessing the effectiveness of large language models for Java vulnerability repair: A comparative study. 75 - Ruchika Malhotra, Bhawna Jain, Marouane Kessentini:
DIR-SMOTE: a density-influence resampling framework for imbalanced code smell detection. 76 - Giacomo Fantino, Antonio Vetrò, Marco Torchiano, Federica Cappelluti:
Beyond syntax: enhancing automated documentation with data differences. 77 - Ruizhen Gu, José Miguel Rojas, Donghwan Shin:
Automated testing of prevalent 3D user interactions in virtual reality applications. 78 - Siamak Farshidi, Kwabena Ebo Bennin, Önder Babur, June Sallou, Ayalew Kassahun, Bedir Tekinerdogan:
Advancing research software engineering with AI: a research framework. 79 - Chandan Kumar, Umashankar Samal, Tony Jan, Kamran Shaukat, Mukesh Prasad:
Causal modeling in software defect prediction: bridging expert knowledge and novice insight. 80 - Mohammad Shameem, Mohammad R. Alshayeb, Mahmood Khan Niazi, Sajjad Mahmood, Aakash Ahmad, Jehad Al Dallal:
An exploratory study on effectiveness of GPT-4o in conducting sub-tasks of systematic literature reviews. 81 - Trung-Hieu Nguyen, Truong-Giang Vuong, Hong-Nam Duong, Son Nguyen, Hieu Dinh Vo, Toshiaki Aoki, Thu-Trang Nguyen:
Safety-critical scenario generation for automated testing of autonomous driving systems. 82 - Syed Fakhar Abbas, Musharif Ahmed, Asim Bakhshi, Sadaf Manzoor:
Toward intelligent runtime adaptation in microservices: Empirical trade-off analysis and a hybrid AI framework. 83 - Pedro Delgado-Pérez, Sara Balderas-Díaz, Inmaculada Medina-Bulo, Gabriel Guerrero-Contreras:
Methodological pitfalls in predictive mutation testing: threats, impact and open challenges. 84 - Yanxu Mao, Tiehan Cui, Jinyang Wang, Datao You:
Exploring the security of short-term and long-term contextual memory in industrial smart customer agent. 85 - Inseong Jeon, Sundeuk Kim, Hyunwoo Kim, Hoh Peter In:
SolQDebug: Debug solidity quickly for interactive immediacy in smart contract development. 86 - Ximena Guerron, Marta Fernández-Diego, Silvia Abrahão, Emilio Insfrán, Sira Vegas:
Building and validating deep learning models for forecasting the quality of cloud services. 87 - Damjan Fujs, Damjan Vavpotic, Marko Pozenel:
From perception to performance: An empirical study of student team collaboration and success in an agile software engineering course. 88 - Hongrong Yin, Jinhong Huang, Yao Li, Yunwei Dong, Tao Zhang:
BugRepro: enhancing android bug reproduction with domain-specific knowledge integration. 89 - Haolin Jin, Huaming Chen:
Are LLMs reliable code reviewers? systematic overcorrection in requirement conformance judgement. 90
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2026-07-20 01:06 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated, funded, and maintained by:
Schloss Dagstuhl - Leibniz Center for Informatics is a member of the Leibniz Association and is funded by the federal government of Germany and the states of Germany, especially Saarland and Rhineland‑Palatinate.
