样式: 排序: IF: - GO 导出 标记为已读
-
Prompt enhance API recommendation: visualize the user’s real intention behind this query Automat. Softw. Eng. (IF 3.4) Pub Date : 2024-03-11 Yong Wang, Linjun Chen, Cuiyun Gao, Yingtao Fang, Yong Li
-
Future of software development with generative AI Automat. Softw. Eng. (IF 3.4) Pub Date : 2024-03-11 Jaakko Sauvola, Sasu Tarkoma, Mika Klemettinen, Jukka Riekki, David Doermann
Generative AI is regarded as a major disruption to software development. Platforms, repositories, clouds, and the automation of tools and processes have been proven to improve productivity, cost, and quality. Generative AI, with its rapidly expanding capabilities, is a major step forward in this field. As a new key enabling technology, it can be used for many purposes, from creative dimensions to replacing
-
Test-suite-guided discovery of least privilege for cloud infrastructure as code Automat. Softw. Eng. (IF 3.4) Pub Date : 2024-03-05 Ryo Shimizu, Yuna Nunomura, Hideyuki Kanuka
-
GenerativeGI: creating generative art with genetic improvement Automat. Softw. Eng. (IF 3.4) Pub Date : 2024-03-01 Erik M. Fredericks, Jared M. Moore, Abigail C. Diller
-
Distilled GPT for source code summarization Automat. Softw. Eng. (IF 3.4) Pub Date : 2024-03-01 Chia-Yi Su, Collin McMillan
-
DL4SC: a novel deep learning-based vulnerability detection framework for smart contracts Automat. Softw. Eng. (IF 3.4) Pub Date : 2024-03-01 Yang Liu, Chao Wang, Yan Ma
-
Sound analysis and migration of data from Ethereum smart contracts Automat. Softw. Eng. (IF 3.4) Pub Date : 2024-02-29 Maha Ayub, Muhammad Waiz Khan, Muhammmad Umar Janjua
-
Using model-driven engineering to automate software language translation Automat. Softw. Eng. (IF 3.4) Pub Date : 2024-02-28 Kevin Lano, Hanan Siala
-
Software defect prediction: future directions and challenges Automat. Softw. Eng. (IF 3.4) Pub Date : 2024-02-27 Zhiqiang Li, Jingwen Niu, Xiao-Yuan Jing
-
ReBack: recommending backports in social coding environments Automat. Softw. Eng. (IF 3.4) Pub Date : 2024-02-23
Abstract Pull-based development is widely used in popular social coding environments like GitHub and GitLab for both internal and external contributions. When critical bug fixes or features are committed to the main branch of a project, it is often desirable to also port those changes to other stable branches. This process is referred to as backporting, and pull-requests in the process are known as
-
Using data mining techniques to generate test cases from graph transformation systems specifications Automat. Softw. Eng. (IF 3.4) Pub Date : 2024-02-21 Maryam Asgari Araghi, Vahid Rafe, Ferhat Khendek
-
Leveraging privacy profiles to empower users in the digital society Automat. Softw. Eng. (IF 3.4) Pub Date : 2024-02-18 Davide Di Ruscio, Paola Inverardi, Patrizio Migliarini, Phuong T. Nguyen
-
An extensive study of the effects of different deep learning models on code vulnerability detection in Python code Automat. Softw. Eng. (IF 3.4) Pub Date : 2024-01-31 Rongcun Wang, Senlei Xu, Xingyu Ji, Yuan Tian, Lina Gong, Ke Wang
-
Coevolutionary scheduling of dynamic software project considering the new skill learning Automat. Softw. Eng. (IF 3.4) Pub Date : 2024-01-19 Xiaoning Shen, Chengbin Yao, Liyan Song, Jiyong Xu, Mingjian Mao
-
Mining crowd sourcing repositories for open innovation in software engineering Automat. Softw. Eng. (IF 3.4) Pub Date : 2024-01-08 Zeeshan Anwar, Hammad Afzal
-
Can AI serve as a substitute for human subjects in software engineering research? Automat. Softw. Eng. (IF 3.4) Pub Date : 2024-01-11 Marco Gerosa, Bianca Trinkenreich, Igor Steinmacher, Anita Sarma
Research within sociotechnical domains, such as software engineering, fundamentally requires the human perspective. Nevertheless, traditional qualitative data collection methods suffer from difficulties in participant recruitment, scaling, and labor intensity. This vision paper proposes a novel approach to qualitative data collection in software engineering research by harnessing the capabilities of
-
A security framework for mobile agent systems Automat. Softw. Eng. (IF 3.4) Pub Date : 2024-01-09 Donies Samet, Farah Barika Ktata, Khaled Ghedira
-
Regression test selection in test-driven development Automat. Softw. Eng. (IF 3.4) Pub Date : 2023-12-27 Zohreh Mafi, Seyed-Hassan Mirian-Hosseinabadi
-
Large language models for qualitative research in software engineering: exploring opportunities and challenges Automat. Softw. Eng. (IF 3.4) Pub Date : 2023-12-21 Muneera Bano, Rashina Hoda, Didar Zowghi, Christoph Treude
The recent surge in the integration of Large Language Models (LLMs) like ChatGPT into qualitative research in software engineering, much like in other professional domains, demands a closer inspection. This vision paper seeks to explore the opportunities of using LLMs in qualitative research to address many of its legacy challenges as well as potential new concerns and pitfalls arising from the use
-
A class integration test order generation approach based on Sarsa algorithm Automat. Softw. Eng. (IF 3.4) Pub Date : 2023-12-13 Yun Li, Yanmei Zhang, Yanru Ding, Shujuan Jiang, Guan Yuan
-
Enhancing embedded systems development with TS $$^-$$ Automat. Softw. Eng. (IF 3.4) Pub Date : 2023-12-06 Xingzi Yu, Wei Tang, Tianlei Xiong, Wengang Chen, Jie He, Bin Yang, Zhengwei Qi
-
Α tool for requirements engineering using ontologies and boilerplates Automat. Softw. Eng. (IF 3.4) Pub Date : 2023-11-21 Christina Antοniou, Nick Bassiliades
-
PTSSBench: a performance evaluation platform in support of automated parameter tuning of software systems Automat. Softw. Eng. (IF 3.4) Pub Date : 2023-11-21 Rong Cao, Liang Bao, Panpan Zhangsun, Chase Wu, Shouxin Wei, Ren Sun, Ran Li, Zhe Zhang
-
Automatic recognizing relevant fragments of APIs using API references Automat. Softw. Eng. (IF 3.4) Pub Date : 2023-11-19 Di Wu, Yang Feng, Hongyu Zhang, Baowen Xu
-
MIRROR: multi-objective refactoring recommendation via correlation analysis Automat. Softw. Eng. (IF 3.4) Pub Date : 2023-10-21 Yang Zhang, Ke Guan, Lining Fang
-
DifFuzzAR: automatic repair of timing side-channel vulnerabilities via refactoring Automat. Softw. Eng. (IF 3.4) Pub Date : 2023-10-18 Rui Lima, João F. Ferreira, Alexandra Mendes, Carolina Carreira
-
$$AI^{2}$$ : the next leap toward native language-based and explainable machine learning framework Automat. Softw. Eng. (IF 3.4) Pub Date : 2023-09-24 Jean-Sébastien Dessureault, Daniel Massicotte
-
Tips: towards automating patch suggestion for vulnerable smart contracts Automat. Softw. Eng. (IF 3.4) Pub Date : 2023-09-13 Qianguo Chen, Teng Zhou, Kui Liu, Li Li, Chunpeng Ge, Zhe Liu, Jacques Klein, Tegawendé F. Bissyandé
-
An automated approach to aspect-based sentiment analysis of apps reviews using machine and deep learning Automat. Softw. Eng. (IF 3.4) Pub Date : 2023-09-09 Nouf Alturayeif, Hamoud Aljamaan, Jameleddine Hassine
-
Automated verification of concurrent go programs via bounded model checking Automat. Softw. Eng. (IF 3.4) Pub Date : 2023-08-26 Nicolas Dilley, Julien Lange
-
ActGraph: prioritization of test cases based on deep neural network activation graph Automat. Softw. Eng. (IF 3.4) Pub Date : 2023-08-22 Jinyin Chen, Jie Ge, Haibin Zheng
-
HMPT: a human–machine cooperative program translation method Automat. Softw. Eng. (IF 3.4) Pub Date : 2023-08-21 Xin Zhang, Zhiwen Yu, Jiaqi Liu, Hui Wang, Liang Wang, Bin Guo
-
Crowdsourced test case generation for android applications via static program analysis Automat. Softw. Eng. (IF 3.4) Pub Date : 2023-08-02 Yuying Li, Yang Feng, Chao Guo, Zhenyu Chen, Baowen Xu
-
QUARE: towards a question-answering model for requirements elicitation Automat. Softw. Eng. (IF 3.4) Pub Date : 2023-07-29 Johnathan Mauricio Calle Gallego, Carlos Mario Zapata Jaramillo
-
A model-based DevOps process for development of mathematical database cost models Automat. Softw. Eng. (IF 3.4) Pub Date : 2023-07-28 Ahmed Chikhaoui, Abdelhafid Chadli, Abdelkader Ouared
-
Evolving scientific code adaptations with modularization frameworks Automat. Softw. Eng. (IF 3.4) Pub Date : 2023-07-28 Pilsung Kang
-
A systematic decision-making framework for tackling quantum software engineering challenges Automat. Softw. Eng. (IF 3.4) Pub Date : 2023-07-26 Muhammad Azeem Akbar, Arif Ali Khan, Saima Rafi
-
Machine learning based predictive modeling to effectively implement DevOps practices in software organizations Automat. Softw. Eng. (IF 3.4) Pub Date : 2023-07-12 Ankur Kumar, Mohammad Nadeem, Mohammad Shameem
-
An empirical study of automated privacy requirements classification in issue reports Automat. Softw. Eng. (IF 3.4) Pub Date : 2023-06-28 Pattaraporn Sangaroonsilp, Morakot Choetkiertikul, Hoa Khanh Dam, Aditya Ghose
-
Genetic algorithms and heuristics hybridized for software architecture recovery Automat. Softw. Eng. (IF 3.4) Pub Date : 2023-06-26 Milad Elyasi, M. Esad Simitcioğlu, Abdullah Saydemir, Ali Ekici, O. Örsan Özener, Hasan Sözer
-
Online ontological quality assessment of converted UML class diagrams in SRE Automat. Softw. Eng. (IF 3.4) Pub Date : 2023-06-18 Chung-Yang Chen, Kuang-Yen Tai
-
Mining domain-specific edit operations from model repositories with applications to semantic lifting of model differences and change profiling Automat. Softw. Eng. (IF 3.4) Pub Date : 2023-04-26 Christof Tinnes, Timo Kehrer, Mitchell Joblin, Uwe Hohenstein, Andreas Biesdorf, Sven Apel
-
GNet4FL: effective fault localization via graph convolutional neural network Automat. Softw. Eng. (IF 3.4) Pub Date : 2023-04-24 Jie Qian, Xiaolin Ju, Xiang Chen
-
qaAskeR $$^+$$ : a novel testing method for question answering software via asking recursive questions Automat. Softw. Eng. (IF 3.4) Pub Date : 2023-03-28 Xiaoyuan Xie, Shuo Jin, Songqiang Chen
-
Data-driven prototyping via natural-language-based GUI retrieval Automat. Softw. Eng. (IF 3.4) Pub Date : 2023-03-14 Kristian Kolthoff, Christian Bartelt, Simone Paolo Ponzetto
-
bjXnet: an improved bug localization model based on code property graph and attention mechanism Automat. Softw. Eng. (IF 3.4) Pub Date : 2023-03-07 Jiaxuan Han, Cheng Huang, Siqi Sun, Zhonglin Liu, Jiayong Liu
-
AdaComplete: improve DL-based code completion method’s domain adaptability Automat. Softw. Eng. (IF 3.4) Pub Date : 2023-03-06 Zejun Wang, Fang Liu, Yiyang Hao, Zhi Jin
-
DroidHook: a novel API-hook based Android malware dynamic analysis sandbox Automat. Softw. Eng. (IF 3.4) Pub Date : 2023-02-24 Yuning Cui, Yi Sun, Zhaowen Lin
-
Freeze-and-mutate: abnormal sample identification for DL applications through model core analysis Automat. Softw. Eng. (IF 3.4) Pub Date : 2023-01-18 Huiyan Wang, Ziqi Chen, Chang Xu
-
Madusa: mobile application demo generation based on usage scenarios Automat. Softw. Eng. (IF 3.4) Pub Date : 2023-01-12 Jaehyung Lee, Hangyeol Cho, Woosuk Lee
-
An NLP-based quality attributes extraction and prioritization framework in Agile-driven software development Automat. Softw. Eng. (IF 3.4) Pub Date : 2023-01-09 Mohsin Ahmed, Saif Ur Rehman Khan, Khubaib Amjad Alam
-
Multidimensional modeling driven from a domain language Automat. Softw. Eng. (IF 3.4) Pub Date : 2022-12-26 Leandro Antonelli, Sandro Bimonte, Stefano Rizzi
-
BCGen: a comment generation method for bytecode Automat. Softw. Eng. (IF 3.4) Pub Date : 2022-12-10 Yuan Huang, Jinbo Huang, Xiangping Chen, Kunning He, Xiaocong Zhou
-
Semi-supervised and unsupervised anomaly detection by mining numerical workflow relations from system logs Automat. Softw. Eng. (IF 3.4) Pub Date : 2022-12-03 Bo Zhang, Hongyu Zhang, Van-Hoang Le, Pablo Moscato, Aozhong Zhang
-
ARAS: adaptation requirements for adaptive systems Automat. Softw. Eng. (IF 3.4) Pub Date : 2022-11-29 Aradea, Iping Supriana, Kridanto Surendro
-
STAn: analysis of data traces using an event-driven interval temporal logic Automat. Softw. Eng. (IF 3.4) Pub Date : 2022-11-30 Laura Panizo, María-del-Mar Gallardo
-
Sharif-TaaWS: a tool to automate unit testing of web services Automat. Softw. Eng. (IF 3.4) Pub Date : 2022-11-24 Elahe Habibi, Seyed-Hassan Mirian-Hosseinabadi
-
SiaLog: detecting anomalies in software execution logs using the siamese network Automat. Softw. Eng. (IF 3.4) Pub Date : 2022-10-13 Shayan Hashemi, Mika Mäntylä
-
A framework for conditional statement technical debt identification and description Automat. Softw. Eng. (IF 3.4) Pub Date : 2022-10-03 Abdulaziz Alhefdhi, Hoa Khanh Dam, Yusuf Sulistyo Nugroho, Hideaki Hata, Takashi Ishio, Aditya Ghose
-
Actor-critic architecture based probabilistic meta-reinforcement learning for load balancing of controllers in software defined networks Automat. Softw. Eng. (IF 3.4) Pub Date : 2022-10-01 Ashish Sharma, Sanjiv Tokekar, Sunita Varma