TY  - JOUR
T1  - Defect Density Based Maintenance Prediction: A Neural Network Based Approach
AU - Sharma, Arun AU - Bhardwaj, Ankur 
JO  - International Journal of Soft Computing
VL  - 8
IS  - 5
SP  - 335
EP  - 339
PY  - 2013
DA  - 2001/08/19
SN  - 1816-9503
DO  - ijscomp.2013.335.339
UR  - https://makhillpublications.co/view-article.php?doi=ijscomp.2013.335.339
KW  - Neural network
KW  -maintenance
KW  -complexity
KW  -defect density
KW  -software
AB  - 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.
ER  -