Abstract
The 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.
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Kordunova, Y., Prydatko, O., Smotr, O., Golovatyi, R. (2023). Expert Decision Support System Modeling in Lifecycle Management of Specialized Software. In: Babichev, S., Lytvynenko, V. (eds) Lecture Notes in Data Engineering, Computational Intelligence, and Decision Making. ISDMCI 2022. Lecture Notes on Data Engineering and Communications Technologies, vol 149. Springer, Cham. https://doi.org/10.1007/978-3-031-16203-9_22
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