Agent systems verification: systematic literature review and mapping
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F18%3A50014742" target="_blank" >RIV/62690094:18450/18:50014742 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/s10489-017-1112-z" target="_blank" >http://dx.doi.org/10.1007/s10489-017-1112-z</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s10489-017-1112-z" target="_blank" >10.1007/s10489-017-1112-z</a>
Alternative languages
Result language
angličtina
Original language name
Agent systems verification: systematic literature review and mapping
Original language description
Agent systems are distributed systems consist of agents that autonomously interact to each other in an environment to perform tasks and achieve goals. Performing verification is important to ensure correctness of agent properties and to detect faults. The objective of this review is to identify research gap and future research direction of agent systems verification. In this study, the surveys of existing techniques for checking agent properties and detecting faults during design, development and runtime phases of agent system life-cycle are presented. Search terms with relevant keywords were used to identify primary studies that relate to the topic of discussion. Next, the studies were classified based on the used techniques and the addressed properties. 231 primary studies were identified during the search process. From these studies, 49% were implemented for verification of agent systems during design, 27% during development and 25% during runtime. Model checking or model-based verification techniques are the highest proposed techniques (44%) followed by the testing and debugging during development (17%). The properties that are largely addressed by the selected studies are temporal properties (19%) and epistemic properties (9%). At the end of the review, the research gap and the future research direction are presented.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
APPLIED INTELLIGENCE
ISSN
0924-669X
e-ISSN
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Volume of the periodical
48
Issue of the periodical within the volume
5
Country of publishing house
DE - GERMANY
Number of pages
24
Pages from-to
1251-1274
UT code for WoS article
000429401100013
EID of the result in the Scopus database
2-s2.0-85041340838