Researchers have proposed a number of prioritization techniques to help decision makers select an optimal combination of (non-) functional requirements to implement. However, most of them are defined based on an ordinal or nominal scale, which are not reliable because they are limited to simple operations of ranked or ordered requirements. We argue that the importance of certain requirements could be determined by their criticality level, which can be assessed using a ratio scale. The main contribution of the paper is the new strategy proposed for prioritizing functional requirements, using early mutation testing and dependency analysis.
|Title of host publication||RET '18|
|Subtitle of host publication||Proceedings of the 5th International Workshop on Requirements Engineering and Testing|
|Place of Publication||New York, NY|
|Number of pages||4|
|Publication status||Published - Jun 2018|
|Event||5th ACM/IEEE International Workshop on Requirements Engineering and Testing, RET 2018, co-located with ICSE 2018 - Gothenburg, Sweden|
Duration: 2 Jun 2018 → …
|Name||Proceedings - International Conference on Software Engineering|
|Conference||5th ACM/IEEE International Workshop on Requirements Engineering and Testing, RET 2018, co-located with ICSE 2018|
|Period||2/06/18 → …|
Bibliographical notePart F137811.
- mutation score
- requirements prioritization