On the proposal and evaluation of a benchmark-based threshold derivation method

Author:

Vale GustavoORCID,Fernandes EduardoORCID,Figueiredo EduardoORCID

Funder

CNPq

Publisher

Springer Science and Business Media LLC

Subject

Safety, Risk, Reliability and Quality,Software

Reference48 articles.

1. Abilio, R., Vale, G., Oliveira, J., Figueiredo, E., Costa, H. (2014). Code smell detection tool for compositional-based software product lines. In Proceedings of the 5th Brazilian Conference on Software: Theory and Practice (CBSoft), Tools Session (pp. 109–116).

2. Abilio, R., Padilha, J., Figueiredo, E., Costa, H. (2015). Detecting code smells in software product lines: An exploratory study. In Proceedings of the 12th International Conference on Information Technology: New Generations (ITNG) (pp. 433–438).

3. Abilio, R., Vale, G., Figueiredo, E., Costa, H. (2016). Metrics for feature-oriented programming. In Proceedings of 7th International Workshop on Emerging Trends in Software Metrics (WETSoM) (pp. 36–42).

4. Alves, T., Ypma, C., Visser, J. (2010). Deriving metric thresholds from benchmark data. In Proceedings of the 26th International Conference on Software Maintenance (ICSM) (pp. 1–10).

5. Apel, S., Kästner, C., Lengauer, C. (2009). FeatureHouse: language-independent, automated software composition. In Proceedings of the 31st International Conference on Software Engineering (ICSE) (pp. 221–231).

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