Longitudinal Collaborative Filtering With Attribute Maximization Clustering On Software Process Improvement

  Dr.A.Saranya

Among several characteristic that impact the success of a software project, the software process model employed is a crucial one. An inappropriate process framework will not only consume too much of time but also reduces the software quality. Hence, selection of a suitable software process framework is a very critical problem for software development. Current works focus on the software process appraisals with absorptive capability and therefore compromises the performance and process improvement related to longitudinal data. In this paper, we propose a software process enhancement framework to assists project managers select the most suitable software process framework at an early stage of development process, called, Collaborative Filtered Maximization Clustering and Longitudinal Regression (CFMC-LR). The CFMC-LR framework is split into three different stages, namely, pre-processing, clustering and application of machine learning model. Pre-processing or the most relevant project attributes are first extracted by applying Contingency Matrix Collaborative Filtering technique. Next, clustering of the pre-processed project attributes into similar attributes belonging to a particular group or project is performed using Expectation Attribute Maximization Clustering algorithm. Finally, machine learning technique, Longitudinal Regression is applied to analyze the effect of Software Process enhancement. The results demonstrate that CFMC-LR framework success is appreciably impacted by Contingency Collaborative Filtering algorithm through Linear Regression model and therefore influences firm performance.

Keywords- Collaborative Filtered, Maximization Clustering, Longitudinal Regression, Machine Learning, Expectation Attribute

Unique Identification Number - IJEDR1803119
Page Number(s) - 716-725
Pubished in - Volume 6 | Issue 3 | September 2018
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)

  Dr.A.Saranya,   "Longitudinal Collaborative Filtering With Attribute Maximization Clustering On Software Process Improvement", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.6, Issue 3, pp.716-725, September 2018, Available at :http://www.ijedr.org/papers/IJEDR1803119.pdf