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How many researchers does it take to make impact?: mining software engineering publication data for collaboration insights

Published: 22 August 2013 Publication History

Abstract

In the three and half decades since the inception of organized research publication in software engineering, the discipline has gained a significant maturity. This journey to maturity has been guided by the synergy of ideas, individuals and interactions. In this journey software engineering has evolved into an increasingly empirical discipline. Empirical sciences involve significant collaboration, leading to large teams working on research problems. In this paper we analyze a corpus of 19,000+ papers, written by 21,000+ authors from 16 publication venues between 1975 to 2010, to understand what is the ideal team size that has produced maximum impact in software engineering research, and whether researchers in software engineering have maintained the same co-authorship relations over long periods of time as a means of achieving research impact.

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  • (2017)The Habits of Highly Effective Researchers: An Empirical StudyIEEE Transactions on Big Data10.1109/TBDATA.2016.26116683:1(3-17)Online publication date: 1-Mar-2017

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cover image ACM Other conferences
Compute '13: Proceedings of the 6th ACM India Computing Convention
August 2013
196 pages
ISBN:9781450325455
DOI:10.1145/2522548
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]

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Association for Computing Machinery

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Published: 22 August 2013

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Author Tags

  1. DBLP
  2. T test
  3. annova
  4. benchmarking
  5. collaboration
  6. software engineering research
  7. topic analysis
  8. virtualization

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Compute '13
Compute '13: The 6th ACM India Computing Convention
August 22 - 25, 2013
Tamil Nadu, Vellore, India

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Compute '13 Paper Acceptance Rate 24 of 96 submissions, 25%;
Overall Acceptance Rate 114 of 622 submissions, 18%

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  • (2017)The Habits of Highly Effective Researchers: An Empirical StudyIEEE Transactions on Big Data10.1109/TBDATA.2016.26116683:1(3-17)Online publication date: 1-Mar-2017

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