Please use this identifier to cite or link to this item: https://sci.ldubgd.edu.ua/jspui/handle/123456789/12296
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dc.contributor.authorKordunova, Yuliia-
dc.contributor.authorPrydatko, Oleksandr-
dc.contributor.authorSmotr, Olga-
dc.contributor.authorGolovatiy, Roman-
dc.date.accessioned2023-12-01T13:02:43Z-
dc.date.available2023-12-01T13:02:43Z-
dc.date.issued2023-
dc.identifier.urihttps://sci.ldubgd.edu.ua/jspui/handle/123456789/12296-
dc.description.abstractThe paper describes the complexity of the short-term planning process in lifecycle management of specialized software. The critical stages of sprint scope planning in projects, which works by Agile models were explored. Network planning methods have been adapted to determine the critical indicators in lifecycle management of specialized software. An algorithm for automated construction of a network model and its representation in PC memory is proposed, as a data structure. Based on it, algorithms for constructing and traversing graphs of the network model, determining early and late execution time, and determining the critical execution path and time reserves are proposed. Developed algorithms for constructing and traversing graphs of the network model to automate the calculation of its parameters will be embedded in the work of the expert decision support system in lifecycle management of specialized software. The developed expert system will allow making operative decisions on re-planning of duration and the maintenance of project works in real-time. The system was developed using the Java programming language. The results of the system are presented in the development environment IntelliJ IDEA.en_US
dc.publisherLecture Notes on Data Engineering and Communications Technologiesen_US
dc.subjectSoftware lifecycle managementen_US
dc.subjectAgileen_US
dc.subjectSprint planningen_US
dc.subjectNetwork graphsen_US
dc.titleExpert Decision Support System Modeling in Lifecycle Management of Specialized Softwareen_US
dc.typeArticleen_US
Appears in Collections:2023

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