Software Development Life Time Prediction Using Machine Learning Approach and There Comparison

SSRN Electronic Journal ◽

10.2139/ssrn.3538593 ◽

2020 ◽

Author(s):

Devanshu Dwivedi ◽

Apaar Sharma ◽

Amar Shukla

Keyword(s):

Machine Learning ◽

Software Development ◽

Life Time ◽

Learning Approach ◽

Time Prediction ◽

Machine Learning Approach

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Technical debt as an indicator of software security risk: a machine learning approach for software development enterprises

Enterprise Information Systems ◽

10.1080/17517575.2020.1824017 ◽

2020 ◽

pp. 1-43 ◽

Cited By ~ 2

Author(s):

Miltiadis Siavvas ◽

Dimitrios Tsoukalas ◽

Marija Jankovic ◽

Dionysios Kehagias ◽

Dimitrios Tzovaras

Keyword(s):

Machine Learning ◽

Software Development ◽

Software Security ◽

Learning Approach ◽

Security Risk ◽

Technical Debt ◽

Machine Learning Approach

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Effort estimation in software development using story point: a machine learning approach

International Journal of Knowledge Engineering and Soft Data Paradigms ◽

10.1504/ijkesdp.2020.112630 ◽

2020 ◽

Vol 7 (1) ◽

pp. 25

Author(s):

Beulah Moses ◽

Shyam Singhal

Keyword(s):

Machine Learning ◽

Software Development ◽

Learning Approach ◽

Effort Estimation ◽

Machine Learning Approach

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Real-time prediction of the microseismic cloud size: A comparison between a physics-based model and a machine learning approach

10.1190/segam2021-3583194.1 ◽

2021 ◽

Author(s):

Jorge Nustes Andrade ◽

Mirko van der Baan

Keyword(s):

Machine Learning ◽

Real Time ◽

Learning Approach ◽

Time Prediction ◽

Machine Learning Approach

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UPLC–MS retention time prediction: a machine learning approach to metabolite identification in untargeted profiling

Metabolomics ◽

10.1007/s11306-015-0888-2 ◽

2015 ◽

Vol 12 (1) ◽

Cited By ~ 25

Author(s):

Arnaud M. Wolfer ◽

Sylvain Lozano ◽

Thierry Umbdenstock ◽

Vincent Croixmarie ◽

Alban Arrault ◽

...

Keyword(s):

Machine Learning ◽

Retention Time ◽

Metabolite Identification ◽

Learning Approach ◽

Retention Time Prediction ◽

Time Prediction ◽

Machine Learning Approach ◽

Untargeted Profiling

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A Machine Learning Approach to Waiting Time Prediction in Queueing Scenarios

2019 Second International Conference on Artificial Intelligence for Industries (AI4I) ◽

10.1109/ai4i46381.2019.00013 ◽

2019 ◽

Author(s):

Athanasios I. Kyritsis ◽

Michel Deriaz

Keyword(s):

Machine Learning ◽

Waiting Time ◽

Learning Approach ◽

Time Prediction ◽

Machine Learning Approach

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A Machine Learning Approach for Real Time Prediction of Last Minute Medical Appointments No-shows

Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies ◽

10.5220/0010221903280336 ◽

2021 ◽

Author(s):

Ricardo Almeida ◽

Nuno Silva ◽

André Vasconcelos

Keyword(s):

Machine Learning ◽

Real Time ◽

Learning Approach ◽

Time Prediction ◽

Machine Learning Approach

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Risk Prediction with Regression in Global Software Development using Machine Learning Approach: A Comparison of Linear and Decision Tree Regression

Journal of Computer Science ◽

10.3844/jcssp.2021.67.89 ◽

2021 ◽

Vol 17 (2) ◽

pp. 67-89

Author(s):

Asim Iftikhar ◽

Shahrulniza Musa ◽

Muhammad Alam ◽

Rizwan Ahmed ◽

Tariq Rahim Soomro ◽

...

Keyword(s):

Machine Learning ◽

Decision Tree ◽

Software Development ◽

Risk Prediction ◽

Global Software Development ◽

Learning Approach ◽

Machine Learning Approach

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Constructing and Validating Geographically Refined HAZUS-MH4 Hurricane Wind Risk Models: A Machine Learning Approach

Advances in Hurricane Engineering ◽

10.1061/9780784412626.092 ◽

2012 ◽

Cited By ~ 2

Author(s):

D. Subramanian ◽

J. Salazar ◽

L. Duenas-Osorio ◽

R. Stein

Keyword(s):

Machine Learning ◽

Learning Approach ◽

Risk Models ◽

Hurricane Wind ◽

Machine Learning Approach

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The impact of economic plans on the Chinese education system: a machine learning approach

CADMO ◽

10.3280/cad2018-001005 ◽

2018 ◽

pp. 37-49

Author(s):

Wenjun Lin ◽

Xuefu Xu ◽

Francesco Dell’Anna

Keyword(s):

Machine Learning ◽

Education System ◽

Learning Approach ◽

Chinese Education ◽

System A ◽

Machine Learning Approach ◽

The Impact

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Improving Bandwidth Utilization and Fairness between TCP Flows based on a Machine-learning Approach

IEEJ Transactions on Electronics Information and Systems ◽

10.1541/ieejeiss.133.1259 ◽

2013 ◽

Vol 133 (6) ◽

pp. 1259-1268

Author(s):

Akihiro Shiozu ◽

Syunji Yazaki ◽

K^|^ocirc;ki Abe

Keyword(s):

Machine Learning ◽

Learning Approach ◽

Bandwidth Utilization ◽

Machine Learning Approach

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