Automated Author ProfileSanyal, Mallika
Sanyal, Mallika
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: 0.8 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Team processes are the core of Software Engineering projects, and sometimes, in order to deliver a project on time and on budget, we tend to overlook how important ethics within the group is. The Software Engineering Code of Ethics chalked by the ACM/IEEE, provides a benchmark for expected ethical behavior by Software Engineers. However, we do not know how the code of ethics manifests itself in a group environment. This paper studies how ethics in a group system is influenced by various factors. These factors include: how ethical the leader in the team is, the type of software development process followed (Agile vs. Incremental) and the team size. The paper also studies the extent to which various aspects of the Software Engineering Code of Ethics drive ethical behavior amongst individuals in a team. The results of this study are based on a survey conducted amongst 76 students in University of Southern California who have done projects in Software Engineering through courses provided by the university: CS577A (Software Engineering I) and Directed Research in Software Engineering. This survey allowed members of a team to give each of their team members an ""ethical score"" based on the Software Engineering code of ethics. Based on these scores, each team had its own ethical score. The trends explained in this paper are based on the scores calculated through these surveys.
Authors
- Sanyal, Mallika