Intelligent Software Mining with Business Intelligence Tools for Automation of Micro services in SOA: A Use Case for Analytics

摘要

Business Intelligence as a platform is of great assistance to software engineers for analyzing and amassing data to search for information through queries. Object oriented business engineering advances reusability by considering reusable components at the business level. Systematic reuse is the major factor governing the success of an object-oriented software business. Software mining or mining of software engineering data is the successful mining of software engineering data. The integration of mining of software engineering data and Business Intelligence tools gives rise to automation of software services at business level. Automation is the key to Industry 4.0 that we witness today. Therefore, automation of software intelligence is the need of the hour for service delivery. Today's cloud-based applications are working on delivery of Anything as a Service (XaaS) that accounts for provision of anything as a service like database, software, microservices, security on the cloud platform. Service-oriented Architecture (SoA) is based on Software as a Service (SaaS) of the cloud computing. Software intelligence is the form of artificial intelligence which automates the process of mining software engineering data for useful business applications. Not only it integrates the amalgamation of the above fields but at the same time associates the field with industry standards. The aim of this paper is to analyze the various Business Intelligence tools available for promoting intelligence at the business level with benefits to the SoA services particularly microservices for the cloud platform. With the analysis the goal of Business Oriented Software Engineering is enhanced with the analysis and proper usage of business intelligence tools at all the levels of software development process.