Abstract
The growing complexity of software reflects the trend of mobility and changeability of business processes in our increasingly interconnected world. The change in the business process entails the difference in the supporting software, which should updated quickly and efficiently. Existing software architectures and approaches to design cannot provide a quick software adaptation to the change in requirements. This article explores using task ontologies as building blocks for software. Such software is modeled as a network of executable task models. Each model can initiate actions such as executing operating system commands, querying a database or sending requests to external services. While the task model can perform a small task, the network of interacting models can perform complex tasks. The article describes the application of the proposed approach in automated software testing. The advantages of using task models in software are analyzed for different types of change requirements compared to the traditional software design approach. The prototype of the modeling tool, allowing the creation of onto-logical task models and their execution, is described.
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Burov, Y., Vysotska, V., Lytvyn, V., Chyrun, L. (2023). Software Based on Ontological Tasks Models. 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_34
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