I know what you are searching for: Code snippet recommendation from stack overflow posts

Z Gao, X Xia, D Lo, J Grundy, X Zhang… - ACM Transactions on …, 2023 - dl.acm.org
Stack Overflow has been heavily used by software developers to seek programming-related
information. More and more developers use Community Question and Answer forums, such …

Economic Evaluation Method of Modern Power Transmission System Based on Improved Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) …

W Zeng, J Fan, Z Ren, X Liu, S Lv, Y Cao, X Xu, J Liu - Energies, 2023 - mdpi.com
As the demand for power supply increases, the investment in the power transmission system
constantly increases. An accurate economic evaluation of the power transmission system is …

Candidate test set reduction for adaptive random testing: An overheads reduction technique

R Huang, H Chen, W Sun, D Towey - Science of Computer Programming, 2022 - Elsevier
Abstract Adaptive Random Testing (ART) is a family of testing techniques that were
proposed as an enhancement of random testing (RT). ART achieves better failure-detection …

Detection roasting level of Lintong coffee beans by using euclidean distance

Y Pratama, IGE Dirgayussa, PF Simarmata… - Bulletin of Electrical …, 2021 - beei.org
Coffee roasting is the process by which raw coffee beans (green beans) are roasted until
they reach a certain roast level. In general, the roast level of roasted coffee beans is divided …

Fault detection method based on adversarial reinforcement learning

L Junhuai, W Yunwen, W Huaijun… - Frontiers in Computer …, 2023 - frontiersin.org
Fault detection is an essential task for large-scale industrial maintenance. However, in
practical applications, due to the possible harm caused by the collection of fault data, the …

Discovering boundary values of feature-based machine learning classifiers through exploratory datamorphic testing

H Zhu, I Bayley - Journal of Systems and Software, 2022 - Elsevier
Testing has been widely recognised as difficult for AI applications. This paper proposes a set
of testing strategies for testing machine learning applications in the framework of the …

Dynamic domain testing with multi-agent Markov chain Monte Carlo method

R Golmohammadi, S Parsa, M Zakeri-Nasrabadi - Soft Computing, 2024 - Springer
Path testing is one of the most efficient approaches for covering a program during the test.
However, executing a path with a single or limited number of test data does not guarantee …

Klasifikasi Kualitas Air Sungai Berbasis Teknik Data Mining Dengan Metode K-Nearest Neighbor (K-NN)

B Prihambodo, AW FY, E Prayoga… - Emitor: Jurnal Teknik …, 2023 - journals.ums.ac.id
Sungai merupakan sumber air yang sangat berperan penting dalam kehidupan. Air sungai
seharusnya dijaga kualitasnya sehingga terhindar dari pencemaran air oleh limbah industri …

A new scheme of target detection for pulse Doppler radar in interrupted sampling repeater jamming environment

Y Zhang, B Jiu, X Peng, H Liu… - IET Radar, Sonar & …, 2022 - Wiley Online Library
Research on the anti‐jamming target detection for pulsed Doppler (PD) radar is intensively
important to the normal work of radar in complicated and volatile electromagnetic …

SWFC-ART: A cost-effective approach for Fixed-Size-Candidate-Set Adaptive Random Testing through small world graphs

M Ashfaq, R Huang, D Towey, M Omari… - Journal of Systems and …, 2021 - Elsevier
Adaptive random testing (ART) improves the failure-detection effectiveness of random
testing by leveraging properties of the clustering of failure-causing inputs of most faulty …