Software Technologies (eBook, PDF)

15th International Conference, ICSOFT 2020, Online Event, July 7-9, 2020, Revised Selected Papers
Redaktion: Sinderen, Marten van; Fill, Hans-Georg; Maciaszek, Leszek A.

• Format: PDF

Produktbeschreibung

This book constitutes the thoroughly refereed proceedings of the 15th International Conference on Software Technologies, ICSOFT 2020, which was held virtually due to the Covid-19 pandemic.

The 12 revised full papers were carefully reviewed and selected from 95 submissions. The papers deal with the following topics: business process modelling; IT service management; interoperability and service-oriented architecture; project management software; scheduling and estimating; software metrics; requirements elicitation and specification; software and systems integration among others.

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Produktdetails

• Verlag: Springer Nature Switzerland
• Seitenzahl: 263
• Erscheinungstermin: 20. Juli 2021
• Englisch
• ISBN-13: 9783030830076
• Artikelnr.: 62282394

Inhaltsangabe

Shared Autonomous Mobility on Demand: A Fuzzy-based Approach and Its Performance in the Presence of Uncertainty.- Efficient Scheduling of Periodic, Aperiodic, and Sporadic Real-time Tasks with Deadline Constraints.- R-TNCES State Space Generation using Ontology-based Method on a Distributed Cloud-based Architecture.- MLCA: A Model-Learning-Checking Approach for IoT Systems.- A Real-time Integration of Semantic Annotations into Air Quality Monitoring Sensor Data.- On Improvement of Formal Verification of Reconfigurable Real-time Systems using TCTL and CTL-based Properties on IaaS Cloud Environment.- A Genetic Algorithm with Tournament Selection for Automated Testing of Satellite On-board Image Processing.- Model-based Threat Modeling for Cyber-physical Systems: A Computer-aided Approach.- A Machine Learning based Methodology for Web Systems Codeless Testing with Selenium.- Multilevel Readability Interpretation against Software Properties: A Data-centric Approach.- Efficient Verification of Reconfigurable Discrete-event System using Isabelle/HOL Theorem Prover and Hadoop.- A Method for the Joint Analysis of Numerical and Textual IT-System Data to Predict Critical System States.