Correction: Agile meets quantum: a novel genetic algorithm model for predicting the success of quantum software development project

IF 2 2区 计算机科学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING Automated Software Engineering Pub Date : 2024-12-05 DOI:10.1007/s10515-024-00474-5
Arif Ali Khan, Muhammad Azeem Akbar, Valtteri Lahtinen, Marko Paavola, Mahmood Niazi, Mohammed Naif Alatawi, Shoayee Dlaim Alotaibi
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来源期刊
Automated Software Engineering
Automated Software Engineering 工程技术-计算机:软件工程
CiteScore
4.80
自引率
11.80%
发文量
51
审稿时长
>12 weeks
期刊介绍: This journal details research, tutorial papers, survey and accounts of significant industrial experience in the foundations, techniques, tools and applications of automated software engineering technology. This includes the study of techniques for constructing, understanding, adapting, and modeling software artifacts and processes. Coverage in Automated Software Engineering examines both automatic systems and collaborative systems as well as computational models of human software engineering activities. In addition, it presents knowledge representations and artificial intelligence techniques applicable to automated software engineering, and formal techniques that support or provide theoretical foundations. The journal also includes reviews of books, software, conferences and workshops.
期刊最新文献
Meta network attention-based feature matching for heterogeneous defect prediction Machine-readable specification and intelligent cloud-based execution of logical test cases for automated driving functions Parallelization of genetic algorithms for software architecture recovery Correction: Agile meets quantum: a novel genetic algorithm model for predicting the success of quantum software development project Efficient feature envy detection and refactoring based on graph neural network
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