Umbrales relativos. Caso de estudio para incorporar métricas en la detección de Bad Smells

  1. Raúl Marticorena 1
  2. Carlos López 1
  3. Yania Crespo 2
  4. Esperanza Manso 2
  1. 1 Universidad de Burgos
    info

    Universidad de Burgos

    Burgos, España

    ROR https://ror.org/049da5t36

  2. 2 Universidad de Valladolid
    info

    Universidad de Valladolid

    Valladolid, España

    ROR https://ror.org/01fvbaw18

Aldizkaria:
Revista de procesos y métricas de las tecnologías de la información

ISSN: 1886-4554

Argitalpen urtea: 2010

Alea: 7

Zenbakia: 1

Orrialdeak: 6-14

Mota: Artikulua

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Beste argitalpen batzuk: Revista de procesos y métricas de las tecnologías de la información

Laburpena

To detect flaws, bad smells, etc, we often use quantitative methods: metrics or measures. It is common in practice to use thresholds setting the correctness of the measures. Most of the current tools use absolute values. Nevertheless, there is a certain concern about threshold applications on obtained values. Current work tries to accomplish case studies about thresholds on several products and different versions. By other side, product domain and size could also affect the results. We tackle if it is correct to use absolute vs. relative thresholds, seeing that effects could have in metric collection and bad smell detection.

Datuen iturria: Dialnet