Paper Info
Title
Supporting evidence-based Software Engineering with collaborative information retrieval
Abstract
The number of scientific publications is constantly increasing, and the results published on Empirical Software Engineering are growing even faster. Some software engineering publishers have began to collaborate with research groups to make available repositories of software engineering empirical data. However, these initiatives are limited due to issues related to the available search tools. As a result, many researchers in the area have adopted a semi-automated approach for performing searches for systematic reviews as a mean to extract empirical evidence from published material. This makes this activity labor intensive and error prone. In this paper, we argue that the use of techniques from information retrieval, as well as text mining, can support systematic reviews and improve the creation of repositories of SE empirical evidence.
Year
DOI
Venue
2010
10.4108/icst.collaboratecom.2010.9
Collaborative Computing: Networking, Applications and Worksharing
Keywords
Field
DocType
information retrieval,publishing,reviews,software engineering,collaborative information retrieval,evidence based software engineering,scientific publications,software engineering publishers,systematic review,text mining,Collaborative Information Retrieval,Empirical Software Engineering,Systematic Review
Data science,Software Engineering Process Group,World Wide Web,Empirical evidence,Systematic review,Information retrieval,Computer science,Publishing,Empirical process (process control model),Evidence based software engineering
Conference
ISBN
Citations 
PageRank 
978-963-9995-24-6
3
0.41
References 
Authors
9
4
Name
Order
Citations
PageRank
Heri Ramampiaro115420.46
Daniela S. Cruzes257634.86
Reidar Conradi32161184.28
Manoel Gomes Mendonca419225.28