An empirical study on the interplay between semantic coupling and co-change of software classes
- Submitting institution
-
Brunel University London
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 050-182456-7851
- Type
- D - Journal article
- DOI
-
10.1007/s10664-017-9569-2
- Title of journal
- Empirical Software Engineering
- Article number
- -
- First page
- 1791
- Volume
- 23
- Issue
- 3
- ISSN
- 1382-3256
- Open access status
- Compliant
- Month of publication
- November
- Year of publication
- 2017
- URL
-
https://link.springer.com/article/10.1007%2Fs10664-017-9569-2
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
2
- Research group(s)
-
2 - Software, Systems & Security (SSS)
- Citation count
- 2
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Published in a journal ranked in 8/107 for computer science, software engineering,
the work broke new ground in looking at Information Retrieval techniques applied to a different view of software coupling and could be seen as cross-disciplinary. The paper has a “Good Attention Score compared to outputs of the same age (69th percentile)” source: link.altmetric.com/details/30693609/twitter. Paper details have been re-tweeted by Andrian Marcus, a world leader in the Empirical Software Engineering world with an h-index of 52.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
