The Efficiency of Software Methodologies Used in Artificial Intelligence-Based Biomedical Projects

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2024

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Springer Science and Business Media Deutschland GmbH

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Software Engineering
(2005)
Department of Software Engineering was founded in 2005 as the first department in Ankara in Software Engineering. The recent developments in current technologies such as Artificial Intelligence, Machine Learning, Big Data, and Blockchains, have placed Software Engineering among the top professions of today, and the future. The academic and research activities in the department are pursued with qualified faculty at Undergraduate, Graduate and Doctorate Degree levels. Our University is one of the two universities offering a Doctorate-level program in this field. In addition to focusing on the basic phases of software (analysis, design, development, testing) and relevant methodologies in detail, our department offers education in various areas of expertise, such as Object-oriented Analysis and Design, Human-Computer Interaction, Software Quality Assurance, Software Requirement Engineering, Software Design and Architecture, Software Project Management, Software Testing and Model-Driven Software Development. The curriculum of our Department is catered to graduate individuals who are prepared to take part in any phase of software development of large-scale software in line with the requirements of the software sector. Department of Software Engineering is accredited by MÜDEK (Association for Evaluation and Accreditation of Engineering Programs) until September 30th, 2021, and has been granted the EUR-ACE label that is valid in Europe. This label provides our graduates with a vital head-start to be admitted to graduate-level programs, and into working environments in European Union countries. The Big Data and Cloud Computing Laboratory, as well as MobiLab where mobile applications are developed, SimLAB, the simulation laboratory for Medical Computing, and software education laboratories of the department are equipped with various software tools and hardware to enable our students to use state-of-the-art software technologies. Our graduates are employed in software and R&D companies (Technoparks), national/international institutions developing or utilizing software technologies (such as banks, healthcare institutions, the Information Technologies departments of private and public institutions, telecommunication companies, TÜİK, SPK, BDDK, EPDK, RK, or universities), and research institutions such TÜBİTAK.

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Abstract

Safety critical software usage areas are increasing day by day, and biomedical software applications are one of them which is a promising and ever-evolving branch. This study is designed to investigate the efficiency of software methodologies used in artificial intelligence-based biomedical projects. To identify issues and controversies regarding the agile development of safety critical software and key features, this research compares and identifies which methodology, waterfall or agile, is more effective for safety critical systems. A literature has been reviewed with a research design of find, evaluate, extract, and comprehend the findings of the studies. Research findings show that there are central points of interest and recommendations which is extracted from literature and then combined into conceptual model in order to understand the key difficulties of agile software development in safety critical systems. The software development methodologies such as Scrum and Extreme Programming, that are agile strategies adopt an iterative and incremental approach, are deemed appropriate in the development of biomedical software projects. © 2024, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Agile, Biomedical project, Scrum, Software methodologies, XP

Turkish CoHE Thesis Center URL

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0

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Q4

Source

Lecture Notes in Networks and Systems -- 8th International Congress on Information and Communication Technology, ICICT 2023 -- 20 February 2023 through 23 February 2023 -- London -- 298799

Volume

695 LNNS

Issue

Start Page

615

End Page

625

URI

https://doi.org/10.1007/978-981-99-3043-2_49
 https://hdl.handle.net/20.500.14411/4178

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Scopus