A Novel Framework for Integrating Data Mining Techniques to Software Development Phases

Abstract

In software development process, phases such as development effort estimation, code optimization, source code defect detection and software reuse are very important in order to improve the productivity and quality of the software. Software repository data produced in each phases have increased as component of software development process and new data analysis techniques have emerged in order to optimize the software development process. There is a gap between the software project management practices and the need of valuable data from software repository. To overcome this gap, a novel integrated framework is proposed, which integrates data mining techniques to extract valuable information from software repository and software metrics are used in different phases of software development process. Integrated framework can be used by software development project managers to improve quality of software and reduce time in predicting effort estimation, optimizing source code, defect detection and classification.