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SPEM-Based Process Anti-Pattern Models for Detection in Project Data

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F20%3A43959571" target="_blank" >RIV/49777513:23520/20:43959571 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.ieeecomputersociety.org/10.1109/SEAA51224.2020.00024" target="_blank" >https://doi.ieeecomputersociety.org/10.1109/SEAA51224.2020.00024</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/SEAA51224.2020.00024" target="_blank" >10.1109/SEAA51224.2020.00024</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    SPEM-Based Process Anti-Pattern Models for Detection in Project Data

  • Original language description

    A common need in software project management and process improvement is to detect the occurrence of project mishaps and management mistakes, if possible based on data available from project management and development tools. Process anti-patterns describe such re-occurring problems in textual form intended for human consumption, and the lack of their unambiguous, formalized models hinders their detection in project data. This paper discusses how process anti-patterns can be modeled using Software &amp; System Process Engineering Metamodel (SPEM) and describes an approach to transform such models into queries over data of actual software projects. An implementation of the approach in the form of Eclipse Process Framework Composer plug-in is also presented.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2020

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    46th Euromicro Conference on Software Engineering and Advanced Applications (SEAA 2020)

  • ISBN

    978-1-72819-532-2

  • ISSN

  • e-ISSN

  • Number of pages

    4

  • Pages from-to

    89-92

  • Publisher name

    IEEE

  • Place of publication

    Piscataway

  • Event location

    Kranj, Slovenia

  • Event date

    Aug 26, 2020

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000702094100013