A Bibliometric Study of ACM SIGSOFT Software Engineering Notes from 2007 to 2016

Abstract

Bibliometric analysis is a commonly used technique to analyze scholarly publications to extract useful insights about research and scientific papers which can then be used for decision making by policy makers and administrators. Bibliometric analysis helps in understanding various aspects of scientific knowledge creation and dissemination such as author and institute productivity, impact of articles in terms of citations, university and industry collaboration, geographical contributions and ethnic and gender minority in authorship. ACM SIGSOFT Software Engineering Notes (SEN) is a non-refereed but a reputed and edited publication for informal writings and reports about Software Engineering (SE). ACM SIGSOFT SEN publishes various types of submissions such as paper, report, column, announcement and book review. These submissions are published in the ACM Digital Library (DL). We conduct a bibliometric analysis of articles published in ACM SIGSOFT SEN during a ten year period from 2007 to 2016. Our objective is to provide a historical overview (one decade) of ACM SIGSOFT SEN and reflect on the past so that the ACM SIGSOFT community and contributors can assess the strengths and shortcomings of the SEN. We believe that the bibliometric analysis presented in this paper can provide insights on the extent to which the SEN is meeting its desired objectives.