Integrated Modeling in the Quality Assessment of Flight Management Software Systems

Abstract

Ensuring the high quality of Flight Management Systems (FMS) software is a critical task given the increasing, demands for accuracy, reliability, and safety in aviation transportation. Modern FMS quality assessment methods often fail to account for the complexity of dynamic changes and interactions between system components. Objective – to develop an integrated quality assessment model for FMS that incorporates a comprehensive approach to analyzing system characteristics, including functionality, reliability, performance, security, and process transparency. Methodology – the study is based on the use of integrated modeling, which enables the combination of various evaluation criteria and their adaptation to real-worldoperational conditions. The proposed Integrated Quality Model (IQM) is based on a multi-criteria aggregation function that combines key quality dimensions—functionality, reliability, performance, security, and transparency – in accordance with ISO/IEC 25010 and DO-178C. The IQM framework enables quantitativebenchmarking, yielding a total quality score of 0.871 for the Jeppesen Crew Management (JCM) system, which exceeds the average for comparable FMS solutions such as Sabre Airline Solutions and ARINC Direct. The assessment highlighted the system’s strengths in performance, transparency, and security,while also identifying areas for improvement, particularly in user interface interactivity and adaptation mechanisms. Conclusions confirm the effectiveness of integrated modeling for FMS quality assessment. Future research may focus on enhancing adaptive algorithms and implementing predictive analytics methodsto optimize flight management. Compared with traditional checklists and static MCDM scorecards, IQM explicitly models cross-dimension interactions and supports context-adaptive weighting, clarifying its novelty and practical advantage.

Author Biographies

Olha Zinchenko, State University of Information and Communication Technologies

Доктор технічних наук, доцент, завідувач кафедри штучного інтелекту, Державний університет інформаційно-комунікаційних технологій, Київ, Україна

Nataliia Lashchevska, State University of Information and Communication Technologies

Кандидат технічних наук, доцент, завідувач кафедри комп'ютерної інженерії, Державний університет інформаційно-комунікаційних технологій, Київ, Україна

Kamila Storchak, State University of Information and Communication Technologies

Доктор технічних наук, професор, завідувач кафедри інформаційних систем і технологій, Державний університет інформаційно-комунікаційних технологій, Київ, Україна

Anton Shantyr, State University of Information and Communication Technologies

 PhD, Associate Professor at the Department of Artificial Intelligence, State University of Information and Communication Technologies, Kyiv, Ukraine

Ihor Tovstochub, State University of Information and Communication Technologies

Кандидат наук, викладач кафедри комп'ютерних наук, Державний університет інформаційно-комунікаційних технологій, Київ, Україна

Oleksii Cherevyk, State University of Information and Communication Technologies

Аспірант кафедри комп'ютерної інженерії, Державний університет інформаційно-комунікаційних технологій, Київ, Україна

Andrii Balvak, State University of Information and Communication Technologies

Аспірант кафедри комп'ютерної інженерії, Державний університет інформаційно-комунікаційних технологій, Київ, Україна

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Authors

  • Olha Zinchenko State University of Information and Communication Technologies
  • Nataliia Lashchevska State University of Information and Communication Technologies
  • Kamila Storchak State University of Information and Communication Technologies
  • Anton Shantyr State University of Information and Communication Technologies
  • Ihor Tovstochub State University of Information and Communication Technologies
  • Oleksii Cherevyk State University of Information and Communication Technologies
  • Andrii Balvak State University of Information and Communication Technologies

DOI:

https://doi.org/10.31449/inf.v49i31.11012

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Published

2025-12-23

Issue

Vol. 49 No. 31 (2025): Online-only issue

Section

Online-only

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