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21

Time Effort Prediction Of Agile Software Development Using Machine Learning Techniques
Muchamad Bachram Shidiq ; Windu Gata ; Sigit Kurniawan ; et al.
Inspiration, Vol 13, Iss 2, Pp 39-48 (2023)

adaboost agile decision tree gradient boosting random forest Information technology …
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22

Incorporating Machine Learning into Agile Scrum for Predictive Defect Management
Goyal, Abhishek ; Gupta, Sandeep
2025 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI) Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI), 2025 IEEE International Conference on. 3:1-7 Mar, 2025

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23

Hybridizing Intelligence: A Comparative Study of Machine Learning Algorithm and ANN-PSO Deep Learning Model for Software Effort Estimation.
Chawla, Meenakshi ; Pareek, Meenakshi
International Journal of Performability Engineering. Nov2024, Vol. 20 Issue 11, p668-675. 8p.

Artificial neural networ... Machine learning Particle swarm optimizat... Computer software develo... Bootstrap aggregation (A... Deep learning
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24

Software Project Estimation Using Machine Learning
Nalluri, Sowmya Sri ; Kumar, G A E Satish ; Arumalla, Dileep Kumar ; et al.
2023 2nd International Conference on Futuristic Technologies (INCOFT) Futuristic Technologies (INCOFT), 2023 2nd International Conference on. :1-4 Nov, 2023

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25

Boosting Software Development Using Machine Learning
Benala, Tirimula Rao ; Dehuri, Satchidananda ; Mall, Rajib ; et al.
Artificial Intelligence-Enhanced Software and Systems Engineering ; ISSN 2731-6025 2731-6033 ; ISBN 9783031881879 9783031881886

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26

Enhancing Software Fault Localization Using Deep Learning Techniques
Byrraju, Indhu Priya ; J, Swaminathan
2023 World Conference on Communication & Computing (WCONF) Communication & Computing (WCONF), 2023 World Conference on. :1-5 Jul, 2023

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27

A Weighted Ada-Boosting Approach for Software Defect Prediction using Characterized Code Features Associated with Software Quality.
Rao, K. Eswara ; Rao, G. Appa ; Rao, P. Sankara
International Journal of Performability Engineering. Nov2022, Vol. 18 Issue 11, p798-807. 10p.

Computer software qualit... Software reliability Source code Computer software Computer software develo... Boosting algorithms
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28

An Effective GRU-Based Deep Learning Method for Test Case Prioritization in Continuous Integration Testing.
Behera, Aishwaryarani ; Acharya, Arup Abhinna
Procedia Computer Science. 2025, Vol. 258, p4070-4083. 14p.

Computer software develo... Test methods Algorithms Deep learning
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30

SDP-ML: An Automated Approach of Software Defect Prediction employing Machine Learning Techniques
Uddin, Md Nasir ; Li, Bixin ; Mondol, Md Naim ; et al.
2021 International Conference on Electronics, Communications and Information Technology (ICECIT) Electronics, Communications and Information Technology (ICECIT), 2021 International Conference on. :1-4 Sep, 2021

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31

Software Engineering Teamwork Data Understanding using an Embedded Feature Selection.
Beghoura, Mohamed Amine
International Journal of Performability Engineering. May2021, Vol. 17 Issue 5, p464-472. 9p.

Feature selection Software engineering Software engineers Software failures Computer software develo... Machine learning
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32

Machine learning driven post-impact damage state prediction for performance-based crashworthiness design of bridge piers
Zhou, Chang ; Xie, Yazhou ; Wang, Wenwei ; et al.
In Engineering Structures 1 October 2023 292

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33

Enhancing Software Defect Prediction Using Ensemble Techniques and Diverse Machine Learning Paradigms.
Siddika, Ayesha ; Begum, Momotaz ; Al Farid, Fahmid ; et al.
Eng (2673-4117). Jul2025, Vol. 6 Issue 7, p161. 16p.

ENSEMBLE learning MACHINE learning SOFTWARE reliability RELIABILITY in engineeri... SUPERVISED learning STATISTICAL reliability
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34

Data-driven shear capacity analysis of headed stud in steel-UHPC composite structures
Zhou, Chang ; Wang, Wenwei ; Zheng, Yuzhou
In Engineering Structures 15 December 2024 321

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35

Intelligent method for supporting decision-making on software security using hybrid models
Оксана Сітнікова ; Маргарита Мельник ; Олена Сирота ; et al.
Сучасний стан наукових досліджень та технологій в промисловості, Iss 1(31) (2025)

software security deep neural networks gradient boosting machine learning hybrid models automated security analy... …
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36

Enhancing privacy policy comprehension through Privacify: A user-centric approach using advanced language models
Woodring, Justin ; Perez, Katherine ; Ali-Gombe, Aisha
In Computers & Security October 2024 145

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37

HYBRID TECHNIQUE FOR SOFTWARE DEFECT PREDICTION USING MACHINE LEARNING TECHNIQUES
Muhammad Jumare Haruna ; Darius T. Chinyio ; Martins E. Irhebhude
Science Journal of University of Zakho, Vol 13, Iss 4 (2025)

Software Defect Predicti... Convolutional Neural Net... Climate Forecasting, Dee... Financial fraud detectio... Deep learning Hybrid Technique …
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38

Using Ensemble Machine Learning Methods in Estimating Software Development Effort
Kanneganti, Alekhya

Software Development Eff... Ensemble Ensemble Learning Stacking Ensemble Software Development Eff... Machine Learning …
Dissertation
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39

Labeling issues through semantic patterns in open-source Agile practices
Rankovic, Nevena ; Rankovic, Dragica
In Knowledge-Based Systems 25 October 2025 328

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40

Two-tier deep and machine learning approach optimized by adaptive multi-population firefly algorithm for software defects prediction
Villoth, John Philipose ; Zivkovic, Miodrag ; Zivkovic, Tamara ; et al.
In Neurocomputing 14 May 2025 630

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