The Relationship between Evolutionary Coupling and Defects in Large Industrial Software
- Submitting institution
-
University of Hertfordshire
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 13599940
- Type
- D - Journal article
- DOI
-
10.1002/smr.1842
- Title of journal
- Journal of Software: Evolution and Process
- Article number
- e1842
- First page
- -
- Volume
- 29
- Issue
- 4
- ISSN
- 2047-7481
- Open access status
- Compliant
- Month of publication
- February
- Year of publication
- 2017
- URL
-
-
- 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
-
6
- Research group(s)
-
-
- Citation count
- 11
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This journal paper is an extended longitudinal study using industrial data from the banking sector. The findings are completely new. The study uses a very large set of data from commercial systems where one of the researchers was employed. The paper results from a strong collaboration with expert colleagues. The study was conducted at UH, but Bowes and Hall have since taken up a senior lectureship and a professorship at Lancaster University where the work is being continued.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -