Application Discovery is a methodological process within workload rehosting that systematically identifies, catalogs, and characterizes existing software applications in a legacy environment to determine their suitability, dependencies, and requirements for migration to a target infrastructure.
20
Publications
1.8K
Citations
75
Authors
31
Institutions
Publications per year
2017–2026
4
Parents
Publications
20
Software Engineering for Machine Learning: A Case Study
Saleema Amershi, Andrew Begel, Christian Bird et al. · 2019 · 1.1K citations
A search engine for finding highly relevant applications
Mark Grechanik, Chen Fu, Qing Xie et al. · 2010 · 134 citations
Andrea Girardello, Florian Michahelles · 2010 · 96 citations
Farnaz Behrang, Steven P. Reiss, Alessandro Orso · 2018 · 47 citations
Computing, Computer Science, Design +17
1–5 of 20
Authors
75
- MG
3
h-index
- DP
2
h-index
- QX
2
h-index
- CM
2
h-index
- CF
2
h-index
1–5 of 75
Institutions
31
Accenture (United States)
New York, United States
3 h-index
10 publications
1K citations
IBM (United States)
Armonk, United States
3 h-index
9 publications
164 citations
Accenture (Switzerland)
Zurich, Switzerland
2 h-index
6 publications
477 citations
IBM Research - Thomas J. Watson Research Center
Yorktown Heights, United States
2 h-index
5 publications
120 citations
Williams (United States)
Tulsa, United States
2 h-index
4 publications
534 citations
William & Mary
Williamsburg, United States
2 h-index
4 publications
534 citations
University of British Columbia
Vancouver, Canada
1 h-index
2 publications
62 citations
University College London
London, United Kingdom
1 h-index
3 publications
78 citations
1–8 of 31
Venues
- IEEE Transactions on Software Engineering
TSE · 1 publications · 133 citations
1
h-index
- Academic Medicine
1 publications · 16 citations
1
h-index
- Sensors
1 publications · 12 citations
1
h-index
- Technological Forecasting and Social Change
1 publications · 22 citations
1
h-index
- interactions
1 publications · 33 citations
1
h-index
1–5