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1

Using Machine Learning Technique for Effort Estimation in Software Development
Amaral, Weldson ; Rivero, Luis ; Junior, Geraldo Braz ; et al.
Proceedings of the XVIII Brazilian Symposium on Software Quality. :240-245

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3

Improving Software Quality in Software Development using Random Forest Approach
Joseph, Remya Rachel ; Samuel, Philip
2025 Fourth International Conference on Smart Technologies, Communication and Robotics (STCR) Smart Technologies, Communication and Robotics (STCR), 2025 Fourth International Conference on. :1-6 May, 2025

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4

Boosting Software Quality: A Machine Learning Technique for Predicting Defects
Akilan ; Daniel, E. ; P, Alwin Infant ; et al.
2025 6th International Conference on Mobile Computing and Sustainable Informatics (ICMCSI) Mobile Computing and Sustainable Informatics (ICMCSI), 2025 6th International Conference on. :1062-1070 Jan, 2025

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5

Machine Learning based Effort Estimation Models for Software Development Projects related Datasets with diverse features
Thakur, Vaishali ; Dutta, Kamlesh
2025 2nd International Conference on Computational Intelligence, Communication Technology and Networking (CICTN) Computational Intelligence, Communication Technology and Networking (CICTN), 2025 2nd International Conference on. :807-813 Feb, 2025

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6

AI-Augmented Software Development: Boosting Efficiency and Quality
Pangavhane, Shreyas ; Raktate, Gokul ; Pariane, Prasad ; et al.
2024 International Conference on Decision Aid Sciences and Applications (DASA) Decision Aid Sciences and Applications (DASA), 2024 International Conference on. :1-5 Dec, 2024

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7

Dietary Analysis among Diabetic Patients using Gradient Boosting over Decision Tree
Sreeja, Yennam ; Jeya Sheela, J Joselin
2024 15th International Conference on Communications (COMM) Communications (COMM), 2024 15th International Conference on. :1-4 Oct, 2024

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8

Ensembled Machine Learning Approaches for Software Defect Prediction with Autoencoder Feature Selection
Mondal, Sourav ; Sruthi, Ankisetty Sai ; Sai, Ganithi Anitha
2025 International Conference on Computational Innovations and Engineering Sustainability (ICCIES) Computational Innovations and Engineering Sustainability (ICCIES), 2025 International Conference on. :1-5 Apr, 2025

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9

Improving Software Performance Through Early Bug Detection Using Large-Scale Machine Learning Models
Patel, Dhruv
2025 3rd World Conference on Communication & Computing (WCONF) Communication & Computing (WCONF), 2025 3rd World Conference on. :1-6 Jul, 2025

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10

A Comprehensive Software Vulnerability Dataset Based on OWASP Top Ten Standard
Ndebugre, Moses ; Nabil, Mahmoud ; Patooghy, Ahmad ; et al.
2025 Silicon Valley Cybersecurity Conference (SVCC) Cybersecurity Conference (SVCC), 2025 Silicon Valley. :1-8 Jun, 2025

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11

Hyperparameter Tuning Optimization on Machine Learning Models to Predict Software Defects
Kurniawan, Oky ; Alkhalifi, Yuris ; Fitriana, Lady Agustin ; et al.
2024 International Conference on Advanced Information Scientific Development (ICAISD) Advanced Information Scientific Development (ICAISD), 2024 International Conference on. :35-40 Nov, 2024

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12

Cypress Copilot: Development of an AI Assistant for Boosting Productivity and Transforming Web Application Testing
Nettur, S.B. ; Karpurapu, S. ; Nettur, U. ; et al.
IEEE Access Access, IEEE. 13:3215-3229 2025

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13

A Machine Learning Approach for Bug or Error Prediction using Cat-Boost Algorithm
Darekar, Seema ; Nilekar, Prachi ; Lilhare, Shweta ; et al.
2025 6th International Conference for Emerging Technology (INCET) Emerging Technology (INCET), 2025 6th International Conference for. :1-5 May, 2025

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14

AI-Powered Vulnerability Detection for Secure Software Development
Janapareddy, Venkata Phanindra Kumar ; Sundaresan, Sandeep Shenoy Karanchery ; Bonikela, Harish Reddy ; et al.
2025 2nd International Conference on New Frontiers in Communication, Automation, Management and Security (ICCAMS) New Frontiers in Communication, Automation, Management and Security (ICCAMS), 2025 2nd International Conference on. :1-7 Jul, 2025

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15

Software Risk Prediction at Requirement and Design Phase : An Ensemble Machine Learning Approach
Assefa, Yibeltal ; Alemneh, Esubalew ; Nibret, Shegaw ; et al.
2023 International Conference on Information and Communication Technology for Development for Africa (ICT4DA) Information and Communication Technology for Development for Africa (ICT4DA), 2023 International Conference on. :19-24 Oct, 2023

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16

Enhancing Software Defect Prediction Accuracy using Stacking Ensemble Model
Rahman, Md. Tanziar ; Wasif, Sarhan ; Ismail Siddique, Md. Abu ; et al.
2024 27th International Conference on Computer and Information Technology (ICCIT) Computer and Information Technology (ICCIT), 2024 27th International Conference on. :2203-2207 Dec, 2024

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17

Designing a Robust Software Bug Prediction Model Using Enhanced Learning Principles with Artificial Intelligence Assistance
R, Deeptha ; K, Krishnamoorthi ; Geetha, T. ; et al.
2024 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES) Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES), 2024 International Conference on. :1-6 Dec, 2024

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18

A deep-learning-based approach for object orientation estimation to solve MatchKey CAPTCHA using a Siamese Neural Network
Samsuddin, Muhammad ; Sanaullah, Mohammad ; Hassan, Mahmudul
2025 International Conference on Electrical, Computer and Communication Engineering (ECCE) Electrical, Computer and Communication Engineering (ECCE), 2025 International Conference on. :1-6 Feb, 2025

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19

Software Effort Estimation with Use Case Points Using Ensemble Machine Learning Models
Marapelli, Bhaskar ; Carie, Anil ; Islam, Sardar M. N.
2021 International Conference on Electrical, Computer and Energy Technologies (ICECET) Electrical, Computer and Energy Technologies (ICECET), 2021 International Conference on. :1-6 Dec, 2021

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20

Class point approach for software effort estimation using stochastic gradient boosting technique
Satapathy, Shashank Mouli ; Acharya, Barada Prasanna ; Rath, Santanu Kumar
ACM SIGSOFT Software Engineering Notes. 39(3):1-6

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