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10.1145/2652524.2652601acmconferencesArticle/Chapter ViewAbstractPublication PagesesemConference Proceedingsconference-collections
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Process simulation for software engineering education

Published: 18 September 2014 Publication History

Abstract

Context: Training and learning is one important purpose of Software Process Simulation (SPS). A noticeable number of studies employing SPS for Software Engineering Education (SEE) raised our interest. Objective: This research aims to reveal the-state-of-the-art and empirical effectiveness assessment of this meaningful subject area. Method: We conducted a Systematic Literature Review (SLR) to investigate this subject. Results: The review identified 34 primary studies and 10 simulators. Conclusions: The findings show that this is a continuous research area and SPS game appears more attractive to education than non-game SPS. In contrast, only one study on non-game SPS in education was reported after 2005. SimSE was identified as a landmark among the simulators for SEE in the past years.

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  1. Process simulation for software engineering education

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    cover image ACM Conferences
    ESEM '14: Proceedings of the 8th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement
    September 2014
    461 pages
    ISBN:9781450327749
    DOI:10.1145/2652524
    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 18 September 2014

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    Author Tags

    1. simulation game
    2. software engineering education
    3. software process simulation
    4. systematic literature review

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    ESEM '14
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    ESEM '14 Paper Acceptance Rate 23 of 123 submissions, 19%;
    Overall Acceptance Rate 130 of 594 submissions, 22%

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