Zobrazeno 1 - 10
of 5 627
pro vyhledávání: '"Test suite"'
Publikováno v:
IEEE Access, Vol 12, Pp 168645-168671 (2024)
Software testing is an essential yet costly phase of the software development lifecycle. While machine learning-based test suite optimization techniques have shown promise in reducing testing costs and improving fault detection, a comprehensive evalu
Externí odkaz:
https://doaj.org/article/1e73ebfcfecf4fa999366df61a82a6bd
Publikováno v:
Biomimetics, Vol 9, Iss 10, p 603 (2024)
Metaheuristic algorithms provide reliable and effective methods for solving challenging optimization problems. The snow ablation algorithm (SAO) performs favorably as a physics-based metaheuristic algorithm. Nevertheless, SAO has some shortcomings. S
Externí odkaz:
https://doaj.org/article/884649926a02470caf7ac8b82cfebdae
Autor:
Amir Sohail Habib, Saif Ur Rehman Khan, Shahid Hussain, Naseem Ibrahim, Habib un Nisa, Abdullah Yousafzai
Publikováno v:
Systems and Soft Computing, Vol 6, Iss , Pp 200164- (2024)
Context:: Software undergoes a constant evolution driven by ongoing changes in customer requirements, which enhances the competitive advantage. Regression testing plays a pivotal role by ensuring that modifications have not introduced detrimental eff
Externí odkaz:
https://doaj.org/article/d24431e41a16455185e274e7062bcafe
Autor:
Midya Alqaradaghi, Tamas Kozsik
Publikováno v:
IEEE Access, Vol 12, Pp 55824-55842 (2024)
Various static code analysis tools have been designed to automatically detect software faults and security vulnerabilities. This paper aims to 1) conduct an empirical evaluation to assess the performance of five free and state-of-the-art static analy
Externí odkaz:
https://doaj.org/article/7e3ab213ac024fafa106288506c5eb01
Publikováno v:
IEEE Access, Vol 12, Pp 49275-49290 (2024)
In recent decades, multi-objective evolutionary algorithms (MOEAs) have been evaluated on artificial test problems with unrealistic characteristics, leading to uncertain conclusions about their efficacy in real-world applications. To address this iss
Externí odkaz:
https://doaj.org/article/0ae8b832d1a243bbb72f6307cbee8a22
Publikováno v:
Biomimetics, Vol 9, Iss 9, p 509 (2024)
Catch fish optimization algorithm (CFOA) is a newly proposed meta-heuristic algorithm based on human behaviors. CFOA shows better performance on multiple test functions and clustering problems. However, CFOA shows poor performance in some cases, and
Externí odkaz:
https://doaj.org/article/5c826651ba934b829fef120156f3e3d2
Publikováno v:
Biomimetics, Vol 9, Iss 8, p 500 (2024)
In order to further improve performance of the Slime Mould Algorithm, the Enhanced Multi-Strategy Slime Mould Algorithm (EMSMA) is proposed in this paper. There are three main modifications to SMA. Firstly, a leader covariance learning strategy is pr
Externí odkaz:
https://doaj.org/article/64f6671c49464cc0a1d7df557a5eaf55
Autor:
Khalil A. Nagi
Publikováno v:
مجلة الدراسات الاجتماعية, Vol 29, Iss 3, Pp 145-165 (2023)
The study aims at performing an error analysis as well as providing an evaluation of the quality of neural machine translation (NMT) represented by Google Translate when translating relative clauses. The study uses two test suites are composed of sen
Externí odkaz:
https://doaj.org/article/c6ed254089ec4ea0a0e98cb80e7790fd
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