Metrics to Support Open Source Software Adoption Decisions. Kumar, S. & Wang, L. In Proceedings of the 12th Americas Conference on Information Systems (AMCIS) 2006, pages 10, 2006. abstract bibtex Open Source Software (“OSS”) is gaining popularity and the number of available OSS products is rapidly increasing. Increasingly business managers need to evaluate and select OSS products for adoption. However, OSS adoption presents unique risks and there is a need for metrics to assess these risks. In this research-in-progress we leverage publicly available OSS project information such as source code and CVS database to build a suite of metrics to help managers evaluate OSS products and assess OSS adoption risks. We also provide real project examples for calculation and interpretation of these metrics.
@inproceedings{kumar_metrics_2006,
title = {Metrics to {Support} {Open} {Source} {Software} {Adoption} {Decisions}},
abstract = {Open Source Software (“OSS”) is gaining popularity and the number of available OSS products is rapidly increasing. Increasingly business managers need to evaluate and select OSS products for adoption. However, OSS adoption presents unique risks and there is a need for metrics to assess these risks. In this research-in-progress we leverage publicly available OSS project information such as source code and CVS database to build a suite of metrics to help managers evaluate OSS products and assess OSS adoption risks. We also provide real project examples for calculation and interpretation of these metrics.},
language = {en},
booktitle = {Proceedings of the 12th {Americas} {Conference} on {Information} {Systems} ({AMCIS}) 2006},
author = {Kumar, Sanjeev and Wang, Li},
year = {2006},
pages = {10},
}
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