The influence of search components and problem characteristics in early life cycle class modelling
- Submitting institution
-
University of the West of England, Bristol
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 835392
- Type
- D - Journal article
- DOI
-
10.1016/j.jss.2014.11.034
- Title of journal
- Journal of Systems and Software
- Article number
- -
- First page
- 440
- Volume
- 103
- Issue
- -
- ISSN
- 0164-1212
- Open access status
- Out of scope for open access requirements
- Month of publication
- November
- Year of publication
- 2014
- URL
-
http://dx.doi.org/10.1016/j.jss.2014.11.034
- 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
-
1
- Research group(s)
-
-
- Citation count
- 2
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Originality: the first paper we are aware of to explore the causes of difficulty of the ‘class modelling’ problem for automated meta-heuristic search., and show these differ from what humans find hard.
Rigour: used both algorithmic performance and landscape analysis measures.
Significance: this led to a further collaboration with Glasgow Uni exploring the lack of correlation between current metrics and the preferences of professional designers. This research also led to an EU Erasmus+ collaboration with Cordoba University with researchers and PhD placements exploring the difference in human and machine perceptions of software engineering difficulty.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
