Uncovering the Hidden Co-evolution in the Work History of Software Projects View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2017-08-10

AUTHORS

Saimir Bala , Kate Revoredo , João Carlos de A.R. Gonçalves , Fernanda Baião , Jan Mendling , Flavia Santoro

ABSTRACT

The monitoring of project-oriented business processes is difficult because their state is fragmented and represented by the progress of different documents and artifacts being worked on. This observation holds in particular for software development projects in which various developers work on different parts of the software concurrently. Prior contributions in this area have proposed a plethora of techniques to analyze and visualize the current state of the software artifact as a product. It is surprising that these techniques are missing to provide insights into what types of work are conducted at different stages of the project and how they are dependent upon another. In this paper, we address this research gap and present a technique for mining the software process including dependencies between artifacts. Our evaluation of various open-source projects demonstrates the applicability of our technique. More... »

PAGES

164-180

References to SciGraph publications

  • 2000. The LCA Problem Revisited in LATIN 2000: THEORETICAL INFORMATICS
  • 2015. Mining Project-Oriented Business Processes in BUSINESS PROCESS MANAGEMENT
  • 2013. Enabling the Analysis of Cross-Cutting Aspects in Ad-Hoc Processes in ACTIVE FLOW AND COMBUSTION CONTROL 2018
  • Book

    TITLE

    Business Process Management

    ISBN

    978-3-319-64999-3
    978-3-319-65000-5

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/978-3-319-65000-5_10

    DOI

    http://dx.doi.org/10.1007/978-3-319-65000-5_10

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1091109552


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