Automated Author ProfileZaidman, Andy
Delft University of Technology
Zaidman, Andy
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 8.0 (sum of 7 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
This online appendix contains the anonymised responses to our survey, which we have analysed in our report. In addition, it also includes the mapping of axial coding codes to larger groups, and (if not self-evident) a further explanation of these groups.
Authors
- Sterk, Alexander ;
- Zaidman, Andy ;
- Wessel, Mairieli ;
- Hooten, Eli
This online appendix contains the anonymised responses to our survey, which we have analysed in our report. In addition, it also includes the mapping of axial coding codes to larger groups, and (if not self-evident) a further explanation of these groups.
Authors
- Sterk, Alexander ;
- Zaidman, Andy ;
- Wessel, Mairieli ;
- Hooten, Eli
Dataset of "On The Relation of Test Smells to Software Code Quality" This is the replication package of the paper "On The Relation of Test Smells to Software Code Quality", accepted at the 34th IEEE International Conference on Software Maintenance and Evolution (ICSME 18).
Authors
- Spadini, Davide ;
- Palomba, Fabio ;
- Zaidman, Andy ;
- Magiel Bruntink ;
- Bacchelli, Alberto
Dataset of "On The Relation of Test Smells to Software Code Quality" This is the replication package of the paper "On The Relation of Test Smells to Software Code Quality", accepted at the 34th IEEE International Conference on Software Maintenance and Evolution (ICSME 18).
Authors
- Spadini, Davide ;
- Palomba, Fabio ;
- Zaidman, Andy ;
- Magiel Bruntink ;
- Bacchelli, Alberto
This is the replication package for the paper "How Developers Engage with Static Analysis Tools in Different Contexts".We include all the artifacts necessary to replicate the results obtained in our paper. Specifically, we provide (i) the survey questions together with all the valid answers we received including the demographics of our respondents, (ii) the most relevant statements that we extracted from the interviews including the demographics of our interviewees, (iii) the results of the card sorting performed on the development activities where our participants adopt Static Analysis Tools, (iv) all the data related to Krippendorff’s Alpha calculation for the performed card sorting, and (v) mapping of ASATs to the "rules" categories defined by Novak et al. (2010) and script for calculating occurrence, definition, and enforcement of the different ASAT types together with input and output data. Furthermore, we include the list of links to Reddit posts and inspected open-source projects together with their inspection data and the scripts for computing the inter-rater agreement during the inspection. Finally, we provide the Github features computed for each project and script for generating the sets of projects.
Authors
- Vassallo, Carmine ;
- Panichella, Sebastiano ;
- Palomba, Fabio ;
- Proksch, Sebastian ;
- Gall, Harald C. ;
- Zaidman, Andy
This is the replication package for the paper "How Developers Engage with Static Analysis Tools in Different Contexts".We include all the artifacts necessary to replicate the results obtained in our paper. Specifically, we provide (i) the survey questions together with all the valid answers we received including the demographics of our respondents, (ii) the most relevant statements that we extracted from the interviews including the demographics of our interviewees, (iii) the results of the card sorting performed on the development activities where our participants adopt Static Analysis Tools, (iv) all the data related to Krippendorff’s Alpha calculation for the performed card sorting, and (v) mapping of ASATs to the "rules" categories defined by Novak et al. (2010) and script for calculating occurrence, definition, and enforcement of the different ASAT types together with input and output data. Furthermore, we include the list of links to Reddit posts and inspected open-source projects together with their inspection data and the scripts for computing the inter-rater agreement during the inspection. Finally, we provide the Github features computed for each project and script for generating the sets of projects.
Authors
- Vassallo, Carmine ;
- Panichella, Sebastiano ;
- Palomba, Fabio ;
- Proksch, Sebastian ;
- Gall, Harald C. ;
- Zaidman, Andy