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Authors: Jorge López 1 ; Natalia Kushik 2 and Nina Yevtushenko 3

Affiliations: 1 Université Paris-Saclay, France ; 2 Université Paris-Saclay and Tomsk State University, France ; 3 Tomsk State University and Institute for System Programming of the Russian Academy of Sciences, Russian Federation

ISBN: 978-989-758-250-9

Keyword(s): Systems as Services, Machine Learning, Dynamic Code Analysis, Trust, Software Testing.

Related Ontology Subjects/Areas/Topics: Agents ; Artificial Intelligence ; Cloud Computing ; Data Engineering ; Databases and Data Security ; Formal Methods ; Simulation and Modeling ; Software Engineering ; Software Engineering Methods and Techniques

Abstract: The paper is devoted to the trust assessment problem for specific types of software/hardware systems, namely Systems as Services. We assume that such systems are designed and utilized in all application domains, and therefore the aspects of trust are becoming crucial. Moreover, these systems are mainly used on-demand and are often represented by a composition of ‘smaller’ services. Thus, an effective method for estimating/assessing the trust level of a given component service (or a system as a whole) needs to be utilized. Most known methods and techniques for trust evaluation mainly rely on the passive testing and system monitoring; in this paper, we propose a novel approach for this problem taking advantage of active testing techniques. Test sequences to be applied to a system/service under test are derived based on determining the critical values of non-functional service parameters. A set of these parameters can be obtained via a static code analysis of the system/service or by add ressing available experts. Machine learning techniques can be applied later on, for determining critical parameter values and thus, deriving corresponding test sequences. The paper contains an illustrative example of RESTFul web service which components are checked w.r.t. critical trust properties. (More)

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Paper citation in several formats:
López, J.; Kushik, N. and Yevtushenko, N. (2017). Proactive Trust Assessment of Systems as Services.In Proceedings of the 12th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE, ISBN 978-989-758-250-9, pages 271-276. DOI: 10.5220/0006354502710276

@conference{enase17,
author={Jorge López. and Natalia Kushik. and Nina Yevtushenko.},
title={Proactive Trust Assessment of Systems as Services},
booktitle={Proceedings of the 12th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE,},
year={2017},
pages={271-276},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006354502710276},
isbn={978-989-758-250-9},
}

TY - CONF

JO - Proceedings of the 12th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE,
TI - Proactive Trust Assessment of Systems as Services
SN - 978-989-758-250-9
AU - López, J.
AU - Kushik, N.
AU - Yevtushenko, N.
PY - 2017
SP - 271
EP - 276
DO - 10.5220/0006354502710276

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