An Analysis of Research in Software Engineering: Assessment and Trends
Zhi Wang, Bing Li, Yutao Ma

TL;DR
This paper introduces an automated assessment method for software engineering research, analyzing publication trends and identifying top scholars, institutions, and research directions from 2008 to 2013.
Contribution
It presents a new evaluation module that considers publication quality, author roles, and rankings, improving the assessment of scholars and institutions in software engineering.
Findings
Research subjects follow power-law distributions, indicating the Matthew Effect.
Top scholar: Mark Harman; top institution: University of California; top country: USA.
Identifies research trend changes and key contributors in specific areas.
Abstract
Glass published the first report on the assessment of systems and software engineering scholars and institutions two decades ago. The ongoing, annual survey of publications in this field provides fund managers, young scholars, graduate students, etc. with useful information for different purposes. However, the studies have been questioned by some critics because of a few shortcomings of the evaluation method. It is actually very hard to reach a widely recognized consensus on such an assessment of scholars and institutions. This paper presents a module and automated method for assessment and trends analysis in software engineering compared with the prior studies. To achieve a more reasonable evaluation result, we take into consideration more high-quality publications, the rank of each publication analyzed, and the different roles of authors named on each paper in question. According to…
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Taxonomy
TopicsOpen Source Software Innovations · Software Engineering Research · Software Engineering Techniques and Practices
