Ontology based Bayesian software process improvenent

Stamatia Bibi, Vassilis C. Gerogiannis, George Kakarontzas, Ioannis Stamelos

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Abstract

    This paper presents an ontology based approach that can support small and medium-sized software enterprises (SMEs) to achieve their software process improvement goals. The approach consists of four steps: i) assessment of the software process and identification of areas under improvement, ii) development of a process knowledge base, iii) conceptualization and analysis of an ontology that represents the process domain, iv) Bayesian analysis on the ontology, experimentation and suggestions for process improvement. The main concept of the approach is presented through a generic software process ontology model. To validate the approach parts of this model was instantiated using company specific process data from a telecommunication SME. The resulted process models are further analysed through applying Bayesian analysis.

    Original languageEnglish
    Title of host publicationICSOFT-EA 2014 - Proceedings of the 9th International Conference on Software Engineering and Applications
    PublisherSciTePress
    Pages568-575
    Number of pages8
    ISBN (Electronic)9789897580369
    Publication statusPublished - 2014
    Event9th International Conference on Software Engineering and Applications, ICSOFT-EA 2014 - Vienna, Austria
    Duration: 29 Aug 201431 Aug 2014

    Other

    Other9th International Conference on Software Engineering and Applications, ICSOFT-EA 2014
    Country/TerritoryAustria
    CityVienna
    Period29/08/1431/08/14

    Keywords

    • Bayesian networks
    • Process estimation
    • Software process improvement
    • Software process ontology

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