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Automated Software Engineering, Volume 30
Volume 30, Number 1, June 2023
- Elahe Habibi, Seyed-Hassan Mirian-Hosseinabadi:
Sharif-TaaWS: a tool to automate unit testing of web services. 1 - Aradea, Iping Supriana, Kridanto Surendro:
ARAS: adaptation requirements for adaptive systems. 2 - Laura Panizo, María-del-Mar Gallardo:
STAn: analysis of data traces using an event-driven interval temporal logic. 3 - Bo Zhang, Hongyu Zhang, Van-Hoang Le, Pablo Moscato, Aozhong Zhang:
Semi-supervised and unsupervised anomaly detection by mining numerical workflow relations from system logs. 4 - Yuan Huang, Jinbo Huang, Xiangping Chen, Kunning He, Xiaocong Zhou:
BCGen: a comment generation method for bytecode. 5 - Leandro Antonelli, Sandro Bimonte, Stefano Rizzi:
Multidimensional modeling driven from a domain language. 6 - Mohsin Ahmed, Saif Ur Rehman Khan, Khubaib Amjad Alam:
An NLP-based quality attributes extraction and prioritization framework in Agile-driven software development. 7 - Jaehyung Lee, Hangyeol Cho, Woosuk Lee:
Madusa: mobile application demo generation based on usage scenarios. 8 - Huiyan Wang, Ziqi Chen, Chang Xu:
Freeze-and-mutate: abnormal sample identification for DL applications through model core analysis. 9 - Yuning Cui, Yi Sun, Zhaowen Lin:
DroidHook: a novel API-hook based Android malware dynamic analysis sandbox. 10 - Zejun Wang, Fang Liu, Yiyang Hao, Zhi Jin:
AdaComplete: improve DL-based code completion method's domain adaptability. 11 - Jiaxuan Han, Cheng Huang, Siqi Sun, Zhonglin Liu, Jiayong Liu:
bjXnet: an improved bug localization model based on code property graph and attention mechanism. 12 - Kristian Kolthoff, Christian Bartelt, Simone Paolo Ponzetto:
Data-driven prototyping via natural-language-based GUI retrieval. 13 - Xiaoyuan Xie, Shuo Jin, Songqiang Chen:
qaAskeR+: a novel testing method for question answering software via asking recursive questions. 14 - Kristian Kolthoff, Christian Bartelt, Simone Paolo Ponzetto:
Correction to: Data-driven prototyping via natural-language-based GUI retrieval. 15 - Nicolas Dilley, Julien Lange:
Automated verification of concurrent go programs via bounded model checking. - Xin Zhang, Zhiwen Yu, Jiaqi Liu, Hui Wang, Liang Wang, Bin Guo:
HMPT: a human-machine cooperative program translation method. - Jinyin Chen, Jie Ge, Haibin Zheng:
ActGraph: prioritization of test cases based on deep neural network activation graph.
Volume 30, Number 2, November 2023
- Jie Qian, Xiaolin Ju, Xiang Chen:
GNet4FL: effective fault localization via graph convolutional neural network. 16 - Christof Tinnes, Timo Kehrer, Mitchell Joblin, Uwe Hohenstein, Andreas Biesdorf, Sven Apel:
Mining domain-specific edit operations from model repositories with applications to semantic lifting of model differences and change profiling. 17 - Chung-Yang Chen, Kuang-Yen Tai:
Online ontological quality assessment of converted UML class diagrams in SRE. 18 - Milad Elyasi, Muhammed Esad Simitcioglu, Abdullah Saydemir, Ali Ekici, Okan Örsan Özener, Hasan Sözer:
Genetic algorithms and heuristics hybridized for software architecture recovery. 19 - Pattaraporn Sangaroonsilp, Morakot Choetkiertikul, Hoa Khanh Dam, Aditya Ghose:
An empirical study of automated privacy requirements classification in issue reports. 20 - Ankur Kumar, Mohammad Nadeem, Mohammad Shameem:
Machine learning based predictive modeling to effectively implement DevOps practices in software organizations. 21 - Muhammad Azeem Akbar, Arif Ali Khan, Saima Rafi:
A systematic decision-making framework for tackling quantum software engineering challenges. 22 - Ahmed Chikhaoui, Abdelhafid Chadli, Abdelkader Ouared:
A model-based DevOps process for development of mathematical database cost models. 23 - Pilsung Kang:
Evolving scientific code adaptations with modularization frameworks. 24 - Johnathan Mauricio Calle-Gallego, Carlos Mario Zapata Jaramillo:
QUARE: towards a question-answering model for requirements elicitation. 25 - Yuying Li, Yang Feng, Chao Guo, Zhenyu Chen, Baowen Xu:
Crowdsourced test case generation for android applications via static program analysis. 26 - Nouf Alturayeif, Hamoud Aljamaan, Jameleddine Hassine:
An automated approach to aspect-based sentiment analysis of apps reviews using machine and deep learning. 30 - Qianguo Chen, Teng Zhou, Kui Liu, Li Li, Chunpeng Ge, Zhe Liu, Jacques Klein, Tegawendé F. Bissyandé:
Tips: towards automating patch suggestion for vulnerable smart contracts. 31 - Jean-Sébastien Dessureault, Daniel Massicotte:
AI2: the next leap toward native language-based and explainable machine learning framework. 32
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