@article{MAKHILLJEAS201813115396,
    title = {Validation of Object-Oriented Software GA Metric
Selection Model using Domain Experts},
    journal = {Journal of Engineering and Applied Sciences},
    volume = {13},
    number = {1},
    pages = {7-10},
    year = {2018},
    issn = {1816-949x},
    doi = {jeasci.2018.7.10},
    url = {https://makhillpublications.co/view-article.php?issn=1816-949x&doi=jeasci.2018.7.10},
    author = {Abu Bakar,Abubakar,Hazura and},
    keywords = {Maintainability,metric threshold,expert’s opinions,linear discriminant analysis,statistical,validation},
    abstract = {This study presents validation of object-oriented model to predict its maintainability. The study used
metric threshold in its encoding strategy in the implementation of GA Model before being compared with
classical model. This empirical validation was then compared with real maintainability data from experts using
similar procedures. To understand the overall effect of particular software, linear discriminant analysis which
is machine learning statistical method was utilised to evaluate the performance of the metrics. The results
pointed out that there is significant relationship when expert’s opinions were used. Experts also indicated the
role of inheritance metrics in predicting maintainability of object-oriented software which also highlighted the
needs for further empirical investigation on the production of more metrics threshold that give researchers and
practitioners an opportunity to work on more metrics.}
    }