research-article

Teaching evidence-based software engineering: learning by a collaborative mapping study of open source software

Authors:

Daniela Castelluccia,

Giuseppe VisaggioAuthors Info & Claims

ACM SIGSOFT Software Engineering Notes, Volume 38, Issue 6

Pages 1 - 4

https://doi.org/10.1145/2532780.2532803

Published: 11 November 2013 Publication History

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Abstract

In this paper, we share our experiences about teaching evidence-based software engineering to students of a Master degree program in Computer Science. We provided a semester-long course, composed of lessons about empirical and experimental methods. It also included a collaborative project concerning a systematic mapping study of the challenges in the adoption of open source software in a business context. All students collaborated on the project by analyzing emerging results in the scientific literature. They evaluated the proposals in terms of level of novelty and evidence and delivered a complete report, which summarized the risk factors in the adoption of open source software and offers technical knowledge about evolutionary patterns and development community support, with practical implications. As a side effect, this problem-based learning approach provides a positive impact in terms of students' participation, teamwork attitude, professional interest in open source software, and exam passing.

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Höfer, A. & Tichy, W. F. 2007. Status Of Empirical Research In Software Engineering. In Basili, V. R., Rombach, D., Schneider, K., Kitchenham, B., Pfahl, D. & Selby, R. W. (Eds.) Empirical Software Engineering Issues: Critical Assessment And Future Directions. Springer.

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Dyba, T., Kitchenham, B. A. and Jorgensen, M. 2005. Evidence- Based Software Engineering for Practitioners. IEEE Software, 22(1), 58--65.

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Jorgensen, M., Dyba, T., and Kitchenham, B. 2005. Teaching Evidence-Based Software Engineering to University Students. In Proceedings of the 11th IEEE International Software Metrics Symposium (METRICS '05). IEEE Computer Society, Washington, DC, USA.

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Rainer, A., Beecham, S. & Hall, T. 2007. Assessing Undergraduate Students' Use Of Evidence Based Software Engineering. Hatfield, U.K., University Of Hertfordshire. Technical Report CS-TR-462.

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Catal, C., 2013. Teaching Evidence-Based Software Engineering to Master Students: A Single Lecture within a Course or an Entire Semester-Long Course? ACM SIGSOFT Software Engineering Notes, March 2013 Volume 38 Number 2.

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Kitchenham, B. (2004) Procedures for Performing Systematic Reviews. Keele University, Technical Report TR/SE-0401 and NICTA Technical Report 0400011T.1

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Cited By

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Huseynli MBub U(2025)Enhancing learning in business development education through a method for engineering of digital innovationCogent Education10.1080/2331186X.2024.244481612:1Online publication date: 13-Jan-2025
https://doi.org/10.1080/2331186X.2024.2444816
Pantoja Yépez WHurtado Alegría JBandi AKiwelekar A(2024)Training software architects suiting software industry needs: A literature reviewEducation and Information Technologies10.1007/s10639-023-12149-x29:9(10931-10994)Online publication date: 1-Jun-2024
https://dl.acm.org/doi/10.1007/s10639-023-12149-x
Pizard SVallespir DKitchenham BPéraire CSerebrenik A(2022)A longitudinal case study on the effects of an evidence-based software engineering trainingProceedings of the ACM/IEEE 44th International Conference on Software Engineering: Software Engineering Education and Training10.1145/3510456.3514150(1-13)Online publication date: 21-May-2022
https://dl.acm.org/doi/10.1145/3510456.3514150
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Index Terms

Teaching evidence-based software engineering: learning by a collaborative mapping study of open source software
1. Social and professional topics
  1. Professional topics
    1. Computing education
      1. Computing education programs
        Computer science education
        Information science education
2. Software and its engineering
  1. Software organization and properties
    1. Extra-functional properties
      1. Interoperability

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cover image ACM SIGSOFT Software Engineering Notes

ACM SIGSOFT Software Engineering Notes Volume 38, Issue 6

November 2013

164 pages

ISSN:0163-5948

DOI:10.1145/2532780

Editor:
Will Tracz
Lockheed Martin IS&GS, Endicott, NY

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Association for Computing Machinery

New York, NY, United States

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Published: 11 November 2013

Published in SIGSOFT Volume 38, Issue 6

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Huseynli MBub U(2025)Enhancing learning in business development education through a method for engineering of digital innovationCogent Education10.1080/2331186X.2024.244481612:1Online publication date: 13-Jan-2025
https://doi.org/10.1080/2331186X.2024.2444816
Pantoja Yépez WHurtado Alegría JBandi AKiwelekar A(2024)Training software architects suiting software industry needs: A literature reviewEducation and Information Technologies10.1007/s10639-023-12149-x29:9(10931-10994)Online publication date: 1-Jun-2024
https://dl.acm.org/doi/10.1007/s10639-023-12149-x
Pizard SVallespir DKitchenham BPéraire CSerebrenik A(2022)A longitudinal case study on the effects of an evidence-based software engineering trainingProceedings of the ACM/IEEE 44th International Conference on Software Engineering: Software Engineering Education and Training10.1145/3510456.3514150(1-13)Online publication date: 21-May-2022
https://dl.acm.org/doi/10.1145/3510456.3514150
Pizard SVallespir DKitchenham B(2022)A longitudinal case study on the effects of an evidence-based software engineering training2022 IEEE/ACM 44th International Conference on Software Engineering: Software Engineering Education and Training (ICSE-SEET)10.1109/ICSE-SEET55299.2022.9794238(1-13)Online publication date: May-2022
https://doi.org/10.1109/ICSE-SEET55299.2022.9794238
Pizard SAcerenza FOtegui XMoreno SVallespir DKitchenham B(2021)Training students in evidence-based software engineering and systematic reviews: a systematic review and empirical studyEmpirical Software Engineering10.1007/s10664-021-09953-926:3Online publication date: 1-May-2021
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Felizardo Kde Souza ÉNapoleão BVijaykumar NBaldassarre M(2020)Secondary studies in the academic context: A systematic mapping and surveyJournal of Systems and Software10.1016/j.jss.2020.110734(110734)Online publication date: Jul-2020
https://doi.org/10.1016/j.jss.2020.110734
Barros-Justo JBenitti FTiwari S(2019)The impact of Use Cases in real-world software development projectsComputer Standards & Interfaces10.1016/j.csi.2019.10336266:COnline publication date: 1-Oct-2019
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Brito MSilva FG. Chavez CNascimento DBittencourt RKulesza UPrikladnicki RGerosa MWerner CAndrade R(2018)FLOSS in software engineering educationProceedings of the XXXII Brazilian Symposium on Software Engineering10.1145/3266237.3266249(250-259)Online publication date: 17-Sep-2018
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Kaijanaho AMontero CJoy M(2017)Teaching master's degree students to read research literatureProceedings of the 17th Koli Calling International Conference on Computing Education Research10.1145/3141880.3141893(143-147)Online publication date: 16-Nov-2017
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Teaching evidence-based software engineering to master students: a single lecture within a course or an entire semester-long course?

The use of systematic reviews in evidence based software engineering: a systematic mapping study

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