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Zamira Kholmatova

Observed name: Kholmatova, Zamira
Observed institution: Innopolis University
ORCID: 0000-0003-1688-1183
Observed ORCID: 0000-0003-1688-1183
OpenAlex ID: A5021301383
Analysis of Energy Consumption of Software Development Process Entities
2020 · Paolo Ciancarini, Shokhista Ergasheva, et al. · Electronics · 33
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Taxonomy of Quality Assessment for Intelligent Software Systems: A Systematic Literature Review
2023 · Ahror Jabborov, Arina Kharlamova, et al. · IEEE Access · 31
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Meta-analytical comparison of energy consumed by two sorting algorithms
2021 · Gcinizwe Dlamini, Firas Jolha, et al. · Information Sciences · 15
Impact of programming languages on energy consumption for mobile devices
2020 · Zamira Kholmatova · ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE) · 13
Qualitative Clustering of Software Repositories Based on Software Metrics
2023 · Yegor Bugayenko, Kirill Daniakin, et al. · IEEE Access · 12
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Metrics for Software Process Quality Assessment in the Late Phases of SDLC
2022 · Gcinizwe Dlamini, Shokhista Ergasheva, et al. · Lecture notes in networks and systems · 9
Selecting optimal software code descriptors—The case of Java
2024 · Yegor Bugayenko, Zamira Kholmatova, et al. · PLoS ONE · 6
Systematizing the Meta-Analytical Process in Software Engineering
2021 · Letizia Jaccheri, Zamira Kholmatova, et al. · European Symposium on Software Engineering (ESSE) · 5
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Metrics of Sustainability and Energy Efficiency of Software Products and Process
2022 · Artem Kruglov, Giancarlo Succi, et al. · SpringerBriefs in computer science · 4
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Meta-analytical Comparison Of SVM and KNN for Text Classification
2021 · Gcinizwe Dlamini, Zamira Kholmatova, et al. · International Conference Nonlinearity, Information and Robotics (NIR) · 4
A Systematic Literature Review on Measuring Brain Activity While Reviewing Code and Paintings
2025 · Gcinizwe Dlamini, Abu Huraira, et al. · IEEE Access · 2
A Meta-analytical Comparison of Naive Bayes and Random Forest for Software Defect Prediction
2023 · Ch Muhammad Awais, Wei Gu, et al. · Lecture notes in networks and systems · 2
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Exploring research hypotheses in green computing
2021 · Ikram Hamizi, Zamira Kholmatova, et al. · Journal of Smart Environments and Green Computing · 2
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Software Metrics Selection: Exploring Sequential Forward Selection, Genetic Algorithm and REINFORCE
2026 · Ahmadsho Akdodshoev, Jaffar Totanji, et al. · Smart innovation, systems and technologies · 1
Agentic LLM Pipelines for Reproducible Scientific Software: Opportunities and Challenges
2025 · Andrey Adashchik, Abu Huraira, et al. · 1
Approximating and Predicting Energy Consumption of Portable Devices
2024 · Zamira Kholmatova, Ameer Hamza Siraj, et al. · International Conference on Networks, Communication and Computing (ICNCC) · 1
Software Metrics Selection – The Case of C#
2024 · Zamira Kholmatova, Artur Zagitov, et al. · International Conference on Artificial Intelligence and Software Engineering (ICAISE) · 1
Analysis of Source Code Authorship Attribution Problem
2022 · Alina Bogdanova, Mirko Farina, et al. · International Conference on Computers and Artificial Intelligence Technology (CAIT) · 1
A Meta-analytical Comparison of Energy Consumed by Two Different Programming Languages
2021 · Ikram Hamizi, Ayomide Bakare, et al. · Communications in computer and information science · 1
Categorization of process names
2020 · Zamira Kholmatova · Journal of Physics Conference Series · 1
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A Multi-Level Analysis of Commit Message Sentiment and Bug-Inducing Commits
2026 · Jolha, Firas, Kholmatova, Zamira, et al. · Zenodo (CERN European Organization for Nuclear Research)
A Multi-Level Analysis of Commit Message Sentiment and Bug-Inducing Commits: Heterogeneity Across Developers and Projects
2026 · Jolha, Firas, Kholmatova, Zamira, et al. · Zenodo (CERN European Organization for Nuclear Research)
The Maintainability Footprint of AI-Assisted Development: An Analysis of Student Software Projects
2026 · Jaffar Totanji, Andrey Sadovykh, et al. · IEEE International Conference on Software Maintenance (ICSM)
Reinforcement Learning Approaches for Code Generation: a Comparative Analysis
2026 · Ivan Alpatov, Firas Jolha, et al. · International Symposium on Advances in Electrical, Electronics and Computer Engineering (ISAEECE)
"Sentiment Analysis of Commit Messages and its Relationship to Bug-Inducing Code Changes"
2026 · Firas Jolha, Zamira Kholmatova, et al. · IEEE DataPort
Works count: 39
Citation count: 145
H-index: 6
I10-index: 5
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