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Journal of Discrete Mathematical Sciences and Cryptography Volume 23, 2020 - Issue 2: Sustainable Engineering for Science and Technology
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Articles

Software maintainability prediction using an enhanced random forest algorithm

Shikha GuptaUniversity School Information, Communication & Technology, Guru Gobind Singh Indraprastha University, Dwarka, New Delhi110078, IndiaCorrespondence[email protected]
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Anuradha ChugUniversity School Information, Communication & Technology, Guru Gobind Singh Indraprastha University, Dwarka, New Delhi110078, India, E-mail: [email protected]
Pages 441-449 | Published online: 14 May 2020

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Chamkaur Singh, Kamini, Neenu Juneja, Prabal Kumar Joshi & Rachit Garg. (2022) Performance comparison of Putnam model using new technology trends for software maintenance cost estimation. Journal of Discrete Mathematical Sciences and Cryptography 25:3, pages 691-703.
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Deepika Kumar & Usha Batra. (2020) An ensemble algorithm for breast cancer histopathology image classification. Journal of Statistics and Management Systems 23:7, pages 1187-1198.
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Mansi Agnihotri & Anuradha Chug. (2020) Application of machine learning algorithms for code smell prediction using object-oriented software metrics. Journal of Statistics and Management Systems 23:7, pages 1159-1171.
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Shweta Singhal & Bharti Suri. (2020) Multi objective test case selection and prioritization using African buffalo optimization. Journal of Information and Optimization Sciences 41:7, pages 1705-1713.
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Anshul Bhatia, Anuradha Chug & Amit Prakash Singh. (2020) Application of extreme learning machine in plant disease prediction for highly imbalanced dataset. Journal of Statistics and Management Systems 23:6, pages 1059-1068.
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Shikha Gupta & Anuradha Chug. (2020) Software maintainability prediction of open source datasets using least squares support vector machines. Journal of Statistics and Management Systems 23:6, pages 1011-1021.
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Sandhya Tarwani & Anuradha Chug. (2020) Assessment of optimum refactoring sequence to improve the software quality of object-oriented software. Journal of Information and Optimization Sciences 41:6, pages 1433-1442.
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Articles from other publishers (9)

Mohammed Alweshah, Sofian Kassaymeh, Saleh Alkhalaileh, Mohammad Almseidin & Ibrahim Altarawni. (2023) An Efficient Hybrid Mine Blast Algorithm for Tackling Software Fault Prediction Problem. Neural Processing Letters 55:8, pages 10925-10950.
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Ajay Kumar & Kamaldeep Kaur. (2022) Recommendation of Regression Techniques for Software Maintainability Prediction With Multi-Criteria Decision-Making. International Journal of Information Technology & Decision Making 22:03, pages 1061-1105.
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Ozias Bombiri, Pasteur Poda & T. Frédéric Ouedraogo. (2023) Application of Machine Learning in Software Quality: a Mini-review. Application of Machine Learning in Software Quality: a Mini-review.
Meena Pundir, Jasminder Kaur Sandhu, Deepali Gupta, Punit Gupta, Sapna Juneja, Ali Nauman & Amena Mahmoud. (2023) MD-MARS: Maintainability Framework Based on Data Flow Prediction Using Multivariate Adaptive Regression Splines Algorithm in Wireless Sensor Network. IEEE Access 11, pages 10604-10622.
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Gokul Yenduri & Thippa Reddy Gadekallu. (2022) A multiple criteria decision analysis based approach to remove uncertainty in SMP models. Scientific Reports 12:1.
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Shikha Gupta & Anuradha Chug. (2022) A feature selection strategy for improving software maintainability prediction. Intelligent Data Analysis 26:2, pages 311-344.
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Shikha Gupta & Anuradha Chug. (2021) An Optimized Extreme Learning Machine Algorithm for Improving Software Maintainability Prediction. An Optimized Extreme Learning Machine Algorithm for Improving Software Maintainability Prediction.
Kirti Lakra & Anuradha Chug. 2021. Applications of Artificial Intelligence and Machine Learning. Applications of Artificial Intelligence and Machine Learning 679 692 .
Ying He. 2021. Application of Intelligent Systems in Multi-modal Information Analytics. Application of Intelligent Systems in Multi-modal Information Analytics 166 173 .

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