Heuristic Correlative Features and Least Square Multi-Layer Perception on Software Process Improvement

Authors(1) :-Dr. A. Saranya

Successful software process in its own right not only has various favorable inferences for the software industry, but also the broad stakeholder group.As several software processes exists, it becomes difficult for the project managers to select optimal software process model from available software processes. Improper selection of software process not only increases the software development life cycle time, but also reduces the success rate. Therefore, it is necessary to introduce new and efficient technique to reduce the software development life cycle time with minimum user effort. In this paper, a new attribute based recommendation and machine learning technique called, Heuristic Correlative Features and Least Square Multi Layer Perceptron (HCF-LSMLP) is proposed for helping the project managers to select the most suitable software projects among the existing software projects. This technique introduces a heuristic correlation based feature selection that reduces the software process development cycle time by constructing attributes based on top n recommendations without increasing the computational complexity. Moreover, the proposed HCF-LSMLP technique for suitable software project selection provides better performance in terms of true positive rate than the other existing techniques. Besides, the error on the software process selection is also tackled using the Least Square method in an efficient manner by minimizing the sum of squared residuals. The main advantage of the proposed technique is that it minimizes the software development life cycle time and improves the true positive rate.

Authors and Affiliations

Dr. A. Saranya
Assistant Professor, Department of Computer Application V.V.V College for Women, Virudunagar, Tamil Nadu, India

Software Process, Attribute Based Recommendation, Machine Learning, Heuristic Correlative Features, Least Square, Multi Layer Perceptron

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Publication Details

Published in : Volume 3 | Issue 7 | September-October 2018
Date of Publication : 2018-09-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 40-45
Manuscript Number : CSEIT18375
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Dr. A. Saranya, "Heuristic Correlative Features and Least Square Multi-Layer Perception on Software Process Improvement", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 7, pp.40-45, September-October-2018.
Journal URL : http://ijsrcseit.com/CSEIT18375

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