Abstract
The year 2018 marked the tenth anniversary of the Symposium on Search Based Software Engineering (SSBSE). In order to better understand the characteristics and evolution of papers published in SSBSE, this work reports results from a mapping study targeting the ten proceedings of SSBSE. Our goal is to identify and to analyze authorship collaborations, the impact and relevance of SSBSE in terms of citations, the software engineering areas commonly studied as well as the new problems recently solved, the computational intelligence techniques preferred by authors and the rigour of experiments conducted in the papers. Besides this analysis, we list some recommendations to new authors who envisage to publish their work in SSBSE. Despite of existing mapping studies on SBSE, our contribution in this work is to provide information to researchers and practitioners willing to enter the SBSE field, being a source of information to strengthen the symposium, guide new studies, and motivate new collaboration among research groups.
This work was funded by CNPq (Grants 428994/2018-0 and 408356/2018-9) and by the ERC Advanced Grant 2016, ID 741278, Evolving Program Improvement PE6 London Collaborators (EPIC).
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Notes
- 1.
- 2.
We manually checked the gender of committee members and authors by doing a web search in their profiles by using Google Scholar, Microsoft Academic, Research Gate, Linkedin, etc. We didn’t find name and affiliation of two authors only; we used Genderize.io API and both were defined as females.
- 3.
To ease this task, we used Publish or Perish (https://harzing.com/resources/publish-or-perish), a tool that helps researchers look up information about papers, conferences, journals and others researchers in several repositories, including GS.
- 4.
We used the four first levels of the 2012 ACM Computing Classification System (https://www.acm.org/publications/class-2012).
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Colanzi, T.E., Assunção, W.K.G., Farah, P.R., Vergilio, S.R., Guizzo, G. (2019). A Review of Ten Years of the Symposium on Search-Based Software Engineering. In: Nejati, S., Gay, G. (eds) Search-Based Software Engineering. SSBSE 2019. Lecture Notes in Computer Science(), vol 11664. Springer, Cham. https://doi.org/10.1007/978-3-030-27455-9_4
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