@article{MAKHILLIJSC20138521160,
    title = {Defect Density Based Maintenance Prediction: A Neural Network Based Approach},
    journal = {International Journal of Soft Computing},
    volume = {8},
    number = {5},
    pages = {335-339},
    year = {2013},
    issn = {1816-9503},
    doi = {ijscomp.2013.335.339},
    url = {https://makhillpublications.co/view-article.php?issn=1816-9503&doi=ijscomp.2013.335.339},
    author = {Arun and},
    keywords = {Neural network,maintenance,complexity,defect density,software},
    abstract = {With increasing complexity of modern software is also intending 
  to put a serious concern about the increasing cost of maintenance. Thus, to 
  design a measurement tools for software maintainability is of paramount importance. 
  Soft computing based techniques are widely used for the prediction problems. 
  It has been seen that in various engineering problems, these techniques have 
  been proved quite useful. Present research proposes a neural network based approach 
  to predict the software maintainability in early phases of the project development 
  so that corrective measures can be initiated to make it more manageable and 
  maintainable.}
    }