Forthcoming articles

International Journal of System of Systems Engineering

International Journal of System of Systems Engineering (IJSSE)

These articles have been peer-reviewed and accepted for publication but are pending final changes, are not yet published and may not appear here in their final order of publication until they are assigned to issues. Therefore, the content conforms to our standards but the presentation (e.g. typesetting and proof-reading) is not necessarily up to the Inderscience standard. Additionally, titles, authors, abstracts and keywords may change before publication. Articles will not be published until the final proofs are validated by their authors.

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International Journal of System of Systems Engineering (2 papers in press)

Regular Issues

  • A Framework to Improve Quality of a Java System by Performing Refactoring   Order a copy of this article
    Abstract: Software quality is a key pillar that helps provides high reliability for a software system Refactoring helps in mitigating the design issues present in the source code of a software system without affecting its external behavior Several automated and/ or semi-automated tools/ approaches are available in the literature that performs refactoring However, all these approaches lack considering the role of human expertise during the process of refactoring and/ or they may produce side effects that can further negatively affect the quality of the software system The proposed framework systematically identifies the traces of code bad symptoms and then using the expertise of the developer to prioritize the list of code smells Further, the proposed framework applies different refactoring operations to improve the quality The proposed framework consumes less time and effort as it acts on the prioritized code smell list rather than acting on the whole code smells.
    Keywords: Framework; Software Quality; Refactoring; Code Smells.
    DOI: 10.1504/IJSSE.2020.10030109
    by Elizaveta Bydanova, Gennady M. Alakoz, Abrek I. Ayupov, Sergey I. Plyaskota 
    Abstract: The logic of development of artificial and natural intelligence systems, confirmed by practice, suggests that they need to be considered as a single vitasystem conglomerate, in which AI remains problem-oriented and requires the implementation of certain rules for using a computer product, "borrowed" from natural intelligence with its purely individual history of the transition from objective thinking to abstract. The article reveals the potential of mechanisms for supporting the structural-parametric method of storing and converting information in smoothing conflicts that inevitably arise in vitasystems between artificial and natural intelligence, which is fraught with disastrous consequences for aerospace applications.
    Keywords: vitasystem approach; artificial intelligence; structural-parametric method; PD-associative computational structures.
    DOI: 10.1504/IJSSE.2020.10031172