Ausgabe 1/2024
Inhalt (36 Artikel)
DifFuzzAR: automatic repair of timing side-channel vulnerabilities via refactoring
Rui Lima, João F. Ferreira, Alexandra Mendes, Carolina Carreira
MIRROR: multi-objective refactoring recommendation via correlation analysis
Yang Zhang, Ke Guan, Lining Fang
Automatic recognizing relevant fragments of APIs using API references
Di Wu, Yang Feng, Hongyu Zhang, Baowen Xu
PTSSBench: a performance evaluation platform in support of automated parameter tuning of software systems
Rong Cao, Liang Bao, Panpan Zhangsun, Chase Wu, Shouxin Wei, Ren Sun, Ran Li, Zhe Zhang
Α tool for requirements engineering using ontologies and boilerplates
Christina Antοniou, Nick Bassiliades
Enhancing embedded systems development with TS
Xingzi Yu, Wei Tang, Tianlei Xiong, Wengang Chen, Jie He, Bin Yang, Zhengwei Qi
A class integration test order generation approach based on Sarsa algorithm
Yun Li, Yanmei Zhang, Yanru Ding, Shujuan Jiang, Guan Yuan
Large language models for qualitative research in software engineering: exploring opportunities and challenges
Muneera Bano, Rashina Hoda, Didar Zowghi, Christoph Treude
Correction to: A class integration test order generation approach based on Sarsa algorithm
Yun Li, Yanmei Zhang, Yanru Ding, Shujuan Jiang, Guan Yuan
Mining crowd sourcing repositories for open innovation in software engineering
Zeeshan Anwar, Hammad Afzal
Can AI serve as a substitute for human subjects in software engineering research?
Marco Gerosa, Bianca Trinkenreich, Igor Steinmacher, Anita Sarma
Coevolutionary scheduling of dynamic software project considering the new skill learning
Xiaoning Shen, Chengbin Yao, Liyan Song, Jiyong Xu, Mingjian Mao
An extensive study of the effects of different deep learning models on code vulnerability detection in Python code
Rongcun Wang, Senlei Xu, Xingyu Ji, Yuan Tian, Lina Gong, Ke Wang
Leveraging privacy profiles to empower users in the digital society
Davide Di Ruscio, Paola Inverardi, Patrizio Migliarini, Phuong T. Nguyen
Using data mining techniques to generate test cases from graph transformation systems specifications
Maryam Asgari Araghi, Vahid Rafe, Ferhat Khendek
ReBack: recommending backports in social coding environments
Debasish Chakroborti, Kevin A. Schneider, Chanchal K. Roy
Software defect prediction: future directions and challenges
Zhiqiang Li, Jingwen Niu, Xiao-Yuan Jing
Using model-driven engineering to automate software language translation
Kevin Lano, Hanan Siala
Sound analysis and migration of data from Ethereum smart contracts
Maha Ayub, Muhammad Waiz Khan, Muhammmad Umar Janjua
GenerativeGI: creating generative art with genetic improvement
Erik M. Fredericks, Jared M. Moore, Abigail C. Diller
DL4SC: a novel deep learning-based vulnerability detection framework for smart contracts
Yang Liu, Chao Wang, Yan Ma
Test-suite-guided discovery of least privilege for cloud infrastructure as code
Ryo Shimizu, Yuna Nunomura, Hideyuki Kanuka
Future of software development with generative AI
Jaakko Sauvola, Sasu Tarkoma, Mika Klemettinen, Jukka Riekki, David Doermann
Prompt enhance API recommendation: visualize the user’s real intention behind this query
Yong Wang, Linjun Chen, Cuiyun Gao, Yingtao Fang, Yong Li
Comparing apples and oranges? Investigating the consistency of CPU and memory profiler results across multiple java versions
Myles Watkinson, Alexander E. I. Brownlee
Automated detection of class diagram smells using self-supervised learning
Amal Alazba, Hamoud Aljamaan, Mohammad Alshayeb
Bash comment generation via data augmentation and semantic-aware CodeBERT
Yiheng Shen, Xiaolin Ju, Xiang Chen, Guang Yang
6G secure quantum communication: a success probability prediction model
Muhammad Azeem Akbar, Arif Ali Khan, Sami Hyrynsalmi, Javed Ali Khan
WalletRadar: towards automating the detection of vulnerabilities in browser-based cryptocurrency wallets
Pengcheng Xia, Yanhui Guo, Zhaowen Lin, Jun Wu, Pengbo Duan, Ningyu He, Kailong Wang, Tianming Liu, Yinliang Yue, Guoai Xu, Haoyu Wang
Mitigating the impact of mislabeled data on deep predictive models: an empirical study of learning with noise approaches in software engineering tasks
Jian Shen, Zhong Li, Yifei Lu, Minxue Pan, Xuandong Li
Agile meets quantum: a novel genetic algorithm model for predicting the success of quantum software development project
Arif Ali Khan, Muhammad Azeem Akbar, Valtteri Lahtinen, Marko Paavola, Mahmood Niazi, Mohammed Naif Alatawi, Shoayee Dlaim Alotaibi