Impact of programming languages on energy consumption for mobile devices. - Zamira Kholmatova (ESEC/SIGSOFT FSE, 2020)

Systematizing the Meta-Analytical Process in Software Engineering. - Letizia Jaccheri; Zamira Kholmatova; Giancarlo Succi (ESSE, 2021)

A Meta-analytical Comparison of Naive Bayes and Random Forest for Software Defect Prediction. - Ch Muhammad Awais; Wei Gu; Gcinizwe Dlamini; Zamira Kholmatova; Giancarlo Succi (ISDA (3), 2022)

Metrics for Software Process Quality Assessment in the Late Phases of SDLC. - Gcinizwe Dlamini; Shokhista Ergasheva; Zamira Kholmatova; Artem V. Kruglov; Andrey Sadovykh; Giancarlo Succi; Anton Timchenko; Xavier Zelada Vasquez; Evgeny Zouev (SAI (1), 2022)

An experience in automatically extracting CAPAs from code repositories. - Yegor Bugayenko 001; Imre Delgado; Firas Jolha; Zamira Kholmatova; Artem V. Kruglov; Witold Pedrycz; Giancarlo Succi; Xavier Zelada Vasquez (CoRR, 2022)

Meta-analytical comparison of energy consumed by two sorting algorithms. - Gcinizwe Dlamini; Firas Jolha; Zamira Kholmatova; Giancarlo Succi (Inf. Sci., 2022)

Metrics for Recommending Corrective and Preventive Actions (CAPAs) in Software Development Projects: a Systematic Literature Review. - Yegor Bugayenko 001; Kirill Daniakin; Mirko Farina; Rustam Ikramov; Firas Jolha; Zamira Kholmatova; Artem V. Kruglov; Witold Pedrycz; Giancarlo Succi (IEEE DataPort, 2022)

Qualitative Clustering of Software Repositories Based on Software Metrics. - Yegor Bugayenko 001; Kirill Daniakin; Mirko Farina; Zamira Kholmatova; Artem V. Kruglov; Witold Pedrycz; Giancarlo Succi (IEEE Access, 2023)

Taxonomy of Quality Assessment for Intelligent Software Systems: A Systematic Literature Review. - Ahror Jabborov; Arina Kharlamova; Zamira Kholmatova; Artem V. Kruglov; Vasily Kruglov; Giancarlo Succi (IEEE Access, 2023)

Teaching Empirical Methods to Software Engineers. - Zamira Kholmatova; Giancarlo Succi; Navruza Tulkunova (KES-AMSTA, 2024)

Teaching Lean Software Development to Software Engineers. - Zamira Kholmatova; Giancarlo Succi; Navruza Tulkunova (KES-AMSTA, 2024)

Software Metrics Selection: The Case of Python. - Zamira Kholmatova; Georgy Andryushchenko; Dinislam Gabitov; Firas Jolha; Andrey Palaev; Ninel Yunusova (FICC (3), 2025)

Optimizing Python Code Metrics Feature Reduction Through Meta-Analysis and Swarm Intelligence. - Marina Ivanova; Zamira Kholmatova; Nikolay Pavlenko (MODELSWARD, 2025)

A Systematic Literature Review on Measuring Brain Activity While Reviewing Code and Paintings. - Gcinizwe Dlamini; Abu Huraira; Zamira Kholmatova; Andrei Mikriukov; Guzel Safiullina; Giancarlo Succi; Alexander Tormasov (IEEE Access, 2025)