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Dealing with Data Streams: Complex Event Processing vs. Data Stream Mining Read chapter Read first chapter

2020 | OriginalPaper | Chapter

The SDK4ED Platform for Embedded Software Quality Improvement - Preliminary Overview

Authors : Miltiadis Siavvas, Dimitrios Tsoukalas, Charalampos Marantos, Angeliki-Agathi Tsintzira, Marija Jankovic, Dimitrios Soudris, Alexander Chatzigeorgiou, Dionysios Kehagias

Published in: Computational Science and Its Applications – ICCSA 2020

Publisher: Springer International Publishing

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Abstract

Maintaining high level of quality with respect to important quality attributes is critical for the success of modern software applications. Hence, appropriate tooling is required to help developers and project managers monitor and optimize software quality throughout the overall Software Development Lifecycle (SDLC). Moreover, embedded software engineers and developers need support to manage complex interdependencies and inherent trade-offs between design and run-time qualities. To this end, in an attempt to address these issues, we are developing the SDK4ED Platform as part of the ongoing EU-funded SDK4ED project, a software quality system that enables the monitoring and optimization of software quality, with emphasis on embedded software. The purpose of this technical paper is to provide an overview of the SDK4ED Platform and present the main novel functionalities that have been implemented within the platform until today.

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previous chapter A Data-Mining Based Study of Security Vulnerability Types and Their Mitigation in Different Languages
Footnotes
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Metadata
Title
The SDK4ED Platform for Embedded Software Quality Improvement - Preliminary Overview
Authors
Miltiadis Siavvas
Dimitrios Tsoukalas
Charalampos Marantos
Angeliki-Agathi Tsintzira
Marija Jankovic
Dimitrios Soudris
Alexander Chatzigeorgiou
Dionysios Kehagias
Copyright Year
2020
Book
Computational Science and Its Applications – ICCSA 2020

Print ISBN: 978-3-030-58810-6

Electronic ISBN: 978-3-030-58811-3

Copyright Year: 2020

DOI
https://doi.org/10.1007/978-3-030-58811-3_73

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