Software reuse is to reduce software develop cost and to improve software quality. But the general understanding of existing software is required in order to software reuse. Otherwise It is more efficient to newly software developed.In this study, we proposed an association analysis model for Software Reuse success using Apriori algorithm. We analyzed success factor and column's association of software reuse in software reuse dataset. The evaluation results showed that software reuse is successful when Rewards.Policy=no, Type of Software production=product-family, Human Factors=yes, Repository=yes, Top Management Commitment=Yes. And we showed that six columns have association with each other.
@article{ART002707525}, author={Kwon， Ki Tae and Na-Young Lee}, title={Association analysis model for Software Reuse}, journal={Journal of Software Assessment and Valuation}, issn={2092-8114}, year={2016}, volume={12}, number={2}, pages={25-31}
TY - JOUR AU - Kwon， Ki Tae AU - Na-Young Lee TI - Association analysis model for Software Reuse JO - Journal of Software Assessment and Valuation PY - 2016 VL - 12 IS - 2 PB - Korea Software Assessment and Valuation Society SP - 25 EP - 31 SN - 2092-8114 AB - Software reuse is to reduce software develop cost and to improve software quality. But the general understanding of existing software is required in order to software reuse. Otherwise It is more efficient to newly software developed.In this study, we proposed an association analysis model for Software Reuse success using Apriori algorithm. We analyzed success factor and column's association of software reuse in software reuse dataset. The evaluation results showed that software reuse is successful when Rewards.Policy=no, Type of Software production=product-family, Human Factors=yes, Repository=yes, Top Management Commitment=Yes. And we showed that six columns have association with each other. KW - software quality;Apriori algorithm;relation rule DO - UR - ER -
Kwon， Ki Tae and Na-Young Lee. (2016). Association analysis model for Software Reuse. Journal of Software Assessment and Valuation, 12(2), 25-31.
Kwon， Ki Tae and Na-Young Lee. 2016, "Association analysis model for Software Reuse", Journal of Software Assessment and Valuation, vol.12, no.2 pp.25-31.
Kwon， Ki Tae, Na-Young Lee "Association analysis model for Software Reuse" Journal of Software Assessment and Valuation 12.2 pp.25-31 (2016) : 25.
Kwon， Ki Tae, Na-Young Lee. Association analysis model for Software Reuse. 2016; 12(2), 25-31.
Kwon， Ki Tae and Na-Young Lee. "Association analysis model for Software Reuse" Journal of Software Assessment and Valuation 12, no.2 (2016) : 25-31.
Kwon， Ki Tae; Na-Young Lee. Association analysis model for Software Reuse. Journal of Software Assessment and Valuation, 12(2), 25-31.
Kwon， Ki Tae; Na-Young Lee. Association analysis model for Software Reuse. Journal of Software Assessment and Valuation. 2016; 12(2) 25-31.
Kwon， Ki Tae, Na-Young Lee. Association analysis model for Software Reuse. 2016; 12(2), 25-31.
Kwon， Ki Tae and Na-Young Lee. "Association analysis model for Software Reuse" Journal of Software Assessment and Valuation 12, no.2 (2016) : 25-31.