Nothing Special   »   [go: up one dir, main page]

skip to main content
10.1145/3236405.3237205acmotherconferencesArticle/Chapter ViewAbstractPublication PagessplcConference Proceedingsconference-collections
short-paper

Teaching projects and research objectives in SPL extraction

Published: 10 September 2018 Publication History

Abstract

This year at SPLC we present a teaching and research project where a group of master students analysed a variability-rich domain and extracted an SPL (The Robocode SPL). We present the results of such extraction augmented with an analysis and a quantification regarding the time and effort spent. The research objective was to get and share data about an end-to-end SPL extraction which is usually unavailable in industrial cases because of their large size, complexity, and duration. We provide all the material to replicate, reproduce or extend the case study so it can be easily reused for teaching by anyone in our community. However, we were asking ourselves how can we leverage such case study for teaching to pursue research objectives. In this position paper, we aim to outline our initial ideas that we want to enrich with the others' viewpoints during SPLTea. Towards planning the settings of future teaching projects around this Robocode SPL case study, which can be the timely research objectives that we can identify? Can we involve others in planning this project in their institutions to get further relevant results?

References

[1]
Sven Apel, Christian Kästner, and Christian Lengauer. 2009. FEATUREHOUSE: Language-independent, automated software composition. In 31st International Conference on Software Engineering, ICSE 2009, May 16--24, 2009, Vancouver, Canada, Proceedings. IEEE, 221--231.
[2]
Ken Hartness. 2004. Robocode: using games to teach artificial intelligence. Journal of Computing Sciences in Colleges 19, 4 (2004), 287--291.
[3]
Jabier Martinez, Xhevahire Tërnava, and Tewfik Ziadi. 2018. Software Product Line Extraction from Variability-Rich Systems: The Robocode Case Study. In SPLC 2018. ACM.
[4]
Jackie O'Kelly and J. Paul Gibson. 2006. RoboCode & problem-based learning: a non-prescriptive approach to teaching programming. In Proceedings of the 11th Annual SIGCSE Conference on Innovation and Technology in Computer Science Education, ITiCSE 2006, Bologna, Italy, June 26--28, 2006, Renzo Davoli, Michael Goldweber, and Paola Salomoni (Eds.). ACM, 217--221.
[5]
Martin Shepperd. 2018. Replication studies considered harmful. In Proceedings of the 40th International Conference on Software Engineering: New Ideas and Emerging Results. ACM, 73--76.
[6]
Yehonatan Shichel, Eran Ziserman, and Moshe Sipper. 2005. GP-Robocode: Using Genetic Programming to Evolve Robocode Players. In Genetic Programming, 8th European Conference, EuroGP2005, Lausanne, Switzerland, March 30 - April 1, 2005, Proceedings (Lecture Notes in Computer Science), Vol. 3447. Springer, 143--154.
[7]
Thomas Thüm, Christian Kästner, Fabian Benduhn, Jens Meinicke, Gunter Saake, and Thomas Leich. 2014. FeatureIDE: an extensible framework for feature-oriented software development. 79, 0 (2014), 70--85.

Recommendations

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image ACM Other conferences
SPLC '18: Proceedings of the 22nd International Systems and Software Product Line Conference - Volume 2
September 2018
101 pages
ISBN:9781450359450
DOI:10.1145/3236405
Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 10 September 2018

Permissions

Request permissions for this article.

Check for updates

Author Tags

  1. extractive software product line adoption
  2. reverse-engineering
  3. software product lines
  4. teaching

Qualifiers

  • Short-paper

Conference

SPLC '18

Acceptance Rates

Overall Acceptance Rate 167 of 463 submissions, 36%

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • 0
    Total Citations
  • 56
    Total Downloads
  • Downloads (Last 12 months)1
  • Downloads (Last 6 weeks)0
Reflects downloads up to 18 Nov 2024

Other Metrics

Citations

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Media

Figures

Other

Tables

Share

Share

Share this Publication link

Share on social media