Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Published in:
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

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

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.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

inform now
previous chapter A Data-Mining Based Study of Security Vulnerability Types and Their Mitigation in Different Languages
Footnotes
Literature
1.
Jankovic, M., Kehagias, D., Siavvas, M., Tsoukalas, D., Chatzigeorgiou, A.: The SDK4ED approach to software quality optimization and interplay calculation. In: 15th China-Europe International Symposium on Software Engineering Education (2019)
2.
Heitlager, I., Kuipers, T., Visser, J.: A practical model for measuring maintainability. In: 6th International Conference on the Quality of Information and Communications Technology (2007)
3.
Wagner, S., et al.: Operationalised product quality models and assessment: the quamoco approach. Inf. Softw. Technol. 62, 101–123 (2015)CrossRef
4.
Siavvas, M.G., Chatzidimitriou, K.C., Symeonidis, A.L.: Qatch-an adaptive framework for software product quality assessment. Expert Syst. Appl. 86, 350–366 (2017)CrossRef
5.
Cunningham, W.: The wycash portfolio management system. ACM SIGPLAN OOPS Messenger 4(2), 29–30 (1993)CrossRef
6.
Misra, S., Akman, I., Colomo-Palacios, R.: Framework for evaluation and validation of software complexity measures. IET Softw. 6(4), 323–334 (2012)CrossRef
7.
Misra, S., Adewumi, A., Fernandez-Sanz, L., Damasevicius, R.: A suite of object oriented cognitive complexity metrics. IEEE Access 6, 8782–8796 (2018)CrossRef
8.
Kumar, L., Misra, S., Rath, S.K.: An empirical analysis of the effectiveness of software metrics and fault prediction model for identifying faulty classes. Comput. Stand. Interfaces 53, 1–32 (2017)CrossRef
9.
Baski, D., Misra, S.: Metrics suite for maintainability of extensible markup language web services. IET Softw. 5(3), 320–341 (2011)CrossRef
10.
Sommerville, I.: Software Engineering. Addison-Wesley, Boston (1995)MATH
11.
12.
Gelenbe, E., et al.: NEMESYS: enhanced network security for seamless service provisioning in the smart mobile ecosystem. In: Gelenbe, E., Lent, R. (eds.) Information Sciences and Systems 2013. LNEE, vol. 264, pp. 369–378. Springer, Cham (2013)CrossRef
13.
14.
Shukla, S., Behera, R.K., Misra, S., Rath, S.K.: Software Reliability Assessment Using Deep Learning Technique. Towards Extensible and Adaptable Methods in Computing (2018)
15.
Wolff, E.: Microservices: Flexible Software Architecture. Addison-Wesley, Boston (2016)
16.
Ampatzoglou, A., Michailidis, A., Sarikyriakidis, C., Ampatzoglou, A., Chatzigeorgiou, A., Avgeriou, P.: A Framework for Managing Interest in Technical Debt: An Industrial Validation (2018)
17.
Charalampidou, S., Ampatzoglou, A., Chatzigeorgiou, A., Avgeriou, P.: Assessing code smell interest probability: a case study. In: XP2017 Workshops (2017)
18.
Chatzigeorgiou, A., Ampatzoglou, A., Ampatzoglou, A., Amanatidis, T.: Estimating the breaking point for technical debt. In: IEEE 7th International Workshop on Managing Technical Debt (2015)
19.
Charalampidou, S., Arvanitou, E.M., Ampatzoglou, A., Avgeriou, P., Chatzigeorgiou, A., Stamelos, I.: Structural Quality Metrics as Indicators of the Long Method Bad Smell. In: 44th Conference on Software Enginering and Advanced Applications (2018)
20.
Siavvas, M.: Static analysis for facilitating secure and reliable software. Ph.D. thesis, Imperial College London (2019)
21.
ISO/IEC: ISO/IEC 25010 - Systems and software engineering - Systems and software Quality Requirements and Evaluation (SQuaRE) - System and software quality models. ISO/IEC (2011)
22.
ISO/IEC: ISO/IEC 27001:2013(en) Information technology - Security techniques - Information security management systems - Requirements. ISO/IEC (2013)
23.
Siavvas, M., Gelenbe, E.: Optimum checkpoints for programs with loops. Simul. Modell. Practice Theory 97, 101951 (2019)
24.
Siavvas, M., Gelenbe, E.: Optimum interval for application-level checkpoints. In: 6th International Conference on Cyber Security and Cloud Computing (2019)
25.
Tsoukalas, D., Jankovic, M., Siavvas, M., Kehagias, D., Chatzigeorgiou, A., Tzovaras, D.: On the Applicability of Time Series Models for Technical Debt Forecasting. In: 15th China-Europe International Symposium on Software Engineering Education (2019)
26.
Tsoukalas, D., Siavvas, M., Jankovic, M., Kehagias, D., Chatzigeorgiou, A., Tzovaras, D.: Methods and tools for td estimation and forecasting: a state-of-the-art survey. In: 2018 International Conference on Intelligent Systems (IS) (2018)
27.
Papadopoulos, L., Marantos, C., Digkas, G., Ampatzoglou, A., Chatzigeorgiou, A., Soudris, D.: Interrelations between software quality metrics, performance and energy consumption in embedded applications. In: Proceedings of the 21st International Workshop on Software and Compilers for Embedded Systems (2018)
28.
Siavvas, M., et al.: An empirical evaluation of the relationship between Technical Debt and Software Security. In: 9th International Conference on Information Society and Technology (2019)
29.
Siavvas, M., Marantos, C., Papadopoulos, L., Kehagias, D., Soudris, D., Tzovaras, D.: On the relationship between software security and energy consumption. In: 15th China-Europe International Symposium on Software Engineering Education (2019)
30.
Guo, S., Zhao, H.: Fuzzy best-worst multi-criteria decision-making method and its applications. Knowl. Based Syst. 121, 23–31 (2017)CrossRef
31.
Behera, R.K., Rath, S.K., Misra, S., Damaševičius, R., Maskeliūnas, R.: Large scale community detection using a small world model. Appl. Sci. 7(11), 1173 (2017)CrossRef
32.
Vafeiadis, T., et al.: Data analysis and visualization framework in the manufacturing decision support system of COMPOSITION project. Procedia Manuf. 28, 57–62 (2019)CrossRef
33.
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

Premium Partner

    Image Credits