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This is the replication package for our article "A Formal Framework for Measuring Technical Lag in Component Repositories --- and its Application to npm" submitted for the JSEP journal in 2018. This replication package requires Python 3.5+ to be installed, and all the dependencies listed in ``requirements.txt``. They can be automatically installed using ``pip install -r requirements.txt``. These experiment were executed on a Linux Ubuntu OS. To obtain the analysis used in the paper, one should execute ``jupyter notebook`` at the root of this replication package, and open the notebook contained in ``notebooks``. This replication package contains three folders (i.e scripts, notebooks and data), each folder has a README with a description of what it contains. The list of all npm package releases and Github repositories with their dependencies was download from the last available dataset of libraries.io: https://zenodo.org/record/1196312 The data is under the Creative Commons Attribution Share-Alike 4.0 license. The source code is under the GNU General Public License. For any more information about the details of these experiments, please contact: ahmed.zerouali73@gmail.com
technical lag, software reuse, software repository mining, semantic versioning, empirical analysis
technical lag, software reuse, software repository mining, semantic versioning, empirical analysis
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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| downloads | 2 |

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