| dc.contributor.author | Nilsson, Mayra | |
| dc.date.accessioned | 2019-11-12T13:03:27Z | |
| dc.date.available | 2019-11-12T13:03:27Z | |
| dc.date.issued | 2019-11-12 | |
| dc.identifier.uri | http://hdl.handle.net/2077/62453 | |
| dc.description.abstract | Internal software quality is measured
using quality metrics, which are implemented in static
software analysis tools. There is no current research on
which tool is the best suited to improve internal software
quality, i.e. implements scientifically validated metrics,
has sufficient features and consistent measurement
results. The approach to solve this problem was to find
academic papers that have validated software metrics
and then find tools that support these metrics,
additionally these tools were evaluated for consistency of
results and other user relevant characteristics. An
evaluation of the criteria above resulted in a
recommendation for the Java/C/C++ tool Understand
and the C/C++ tool QAC. | sv |
| dc.language.iso | eng | sv |
| dc.subject | software metrics tools, | sv |
| dc.subject | static analysis tools | sv |
| dc.subject | metrics | sv |
| dc.subject | attributes | sv |
| dc.title | A Comparative Case Study on Tools for Internal Software Quality Measures | sv |
| dc.type | text | |
| dc.setspec.uppsok | Technology | |
| dc.type.uppsok | M2 | |
| dc.contributor.department | Göteborgs universitet/Institutionen för data- och informationsteknik | swe |
| dc.contributor.department | University of Gothenburg/Department of Computer Science and Engineering | eng |
| dc.type.degree | Student essay | |
