A Predictive Machine Learning Approach for Enhancing Software Testing Efficiency with Automated Defect Prediction

Συγγραφείς: Kari, Mahathi, Chandrashekar, Pooja

Πηγή: 2026 World Conference on Computational Science and Technology (WcCST) Computational Science and Technology (WcCST), 2026 World Conference on. :592-597 Mar, 2026

Relation: 2026 World Conference on Computational Science and Technology (WcCST)

Engineering AIOps Controllers for High-Performance Software Operations: An Action Design Research Study

Συγγραφείς: Font, F.P., Fossati, S., Tonnarelli, M., Tamburri, D.A., Engelen, R.

Πηγή: IEEE Transactions on Cloud Computing IEEE Trans. Cloud Comput. Cloud Computing, IEEE Transactions on. 14(2):1115-1126 Jun, 2026

Chapter 2: Two AI Components for Projects

Πηγή: Applying Artificial Intelligence to Project Management. Sep 15, 2025

Chapter 14: Applying AI to Resolve Project Failure

Πηγή: Applying Artificial Intelligence to Project Management. Sep 15, 2025

Chapter 12: Project Control and Project Termination

Πηγή: Applying Artificial Intelligence to Project Management. Sep 15, 2025

Chapter 5: Providing Good Project Data

Πηγή: Applying Artificial Intelligence to Project Management. Sep 15, 2025

Chapter 11: Project Initiation, Planning, Delivery, and Close

Πηγή: Applying Artificial Intelligence to Project Management. Sep 15, 2025

Chapter 17: Implementing AI Solutions

Πηγή: Applying Artificial Intelligence to Project Management. Sep 15, 2025

Chapter 7: Predicting Project Results Using Machine Learning Algorithms and Supervised Learning to Predict Results

Πηγή: Applying Artificial Intelligence to Project Management. Sep 15, 2025

Chapter 6: Acquiring and Using Data

Πηγή: Applying Artificial Intelligence to Project Management. Sep 15, 2025

Chapter 16: Evaluating and Acquiring AI Software

Πηγή: Applying Artificial Intelligence to Project Management. Sep 15, 2025

Enabling AI-Driven Customer Experiences in Fashion E-Commerce through an End-to-End ML Software Development Framework

Συγγραφείς: Pallikara Bahuleyan, Hareesh, Puzikov, Yevgeniy, Koriagin, Evgenii, Lasserre, Julia, Weffer, Rodrigo, Shirvany, Reza

Πηγή: Proceedings of the 2024 13th International Conference on Software and Information Engineering. :14-22

Διαθεσιμότητα: http://dl.acm.org/doi/10.1145/3708635.3708636

Stalactite: toolbox for fast prototyping of vertical federated learning systems

Συγγραφείς: Zakharova, Anastasiia, Alexandrov, Dmitriy, Khodorchenko, Maria, Butakov, Nikolay, Vasilev, Alexey, Savchenko, Maxim, Grigorievskiy, Alexander

Πηγή: Proceedings of the 18th ACM Conference on Recommender Systems. :1187-1190

Διαθεσιμότητα: http://dl.acm.org/doi/10.1145/3640457.3691700

Revolutionary transformations in twentieth century: making AI-assisted software development

Πηγή: Computational Intelligence in Software Modeling. Dec 09, 2024

AI-POWERED TASK ASSIGNMENT RECOMMENDATION SYSTEM FOR SOFTWARE DEVELOPMENT TEAMS

Συγγραφείς: Turysbay D., Rysbayeva G.

Θεματικοί όροι: task assignment, recommendation systems, machine learning, software project management, explainable AI

A Study of the Impact of Artificial Intelligence and Machine Learning on Software Engineering Practices in the Education Sector

Συγγραφείς: Bharati V. Bhamare, Amruta Navale

Πηγή: International Journal of Mathematics And Computer Research. 14

Θεματικοί όροι: Artificial Intelligence, Machine Learning, Software Engineering, Education Technology, Automation, Digital Transformation

A Hybrid Machine Learning Approach for Software Project Effort and Cost Estimation

Συγγραφείς: Tulluru, Vandana, Katari, Vigneshwar Goud, Ramilla, SriVarun Adhitya, Shaik, Imam Saheb

Θεματικοί όροι: Machine Learning Software Effort Estimation Random Forest Cost Prediction Software Project Management Artificial Intelligence Function Point Analysis Hybrid Estimation Model

Fix Fairness, Don’t Ruin Accuracy: Performance Aware Fairness Repair using AutoML

Συγγραφείς: Nguyen, Giang, Biswas, Sumon, Rajan, Hridesh

Πηγή: Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering. :502-514

Διαθεσιμότητα: http://dl.acm.org/doi/10.1145/3611643.3616257

MAAT: a novel ensemble approach to addressing fairness and performance bugs for machine learning software

Συγγραφείς: Chen, Zhenpeng, Zhang, Jie M., Sarro, Federica, Harman, Mark

Πηγή: Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering. :1122-1134

Διαθεσιμότητα: http://dl.acm.org/doi/10.1145/3540250.3549093

Quality Assurance Challenges For Machine Learning Software Applications During Software Development Life Cycle Phases

Συγγραφείς: Al Alamin, Md Abdullah, Uddin, Gias

Πηγή: 2021 IEEE International Conference on Autonomous Systems (ICAS) Autonomous Systems (ICAS), 2021 IEEE International Conference on. :1-5 Aug, 2021

Relation: 2021 IEEE International Conference on Autonomous Systems (ICAS)