Abstract

Software companies develop projects in various domains, but hardly archive the programs for future use. The method signatures are stored in the OWL and the source code components are stored in HDFS. The OWL minimizes the software development cost considerably. The design phase generates many artifacts. One such artifact is the UML class diagram for the project that consists of classes, methods, attributes, relations etc., as metadata. Methods needed for the project can be extracted from this OWL using UML metadata. The UML class diagram is given as input and the metadata about the method is extracted. The method signature is searched in OWL for the similar method prototypes and the appropriate code components will be extracted from the HDFS and reused in a project. By doing this process the time, manpower system resources and cost will be reduced in Software development.

Highlights

  • The World Wide Web has changed the way people communicate with each other

  • Ontologies can be used to encode meaning into a web page, which will enable the intelligent agents to understand the contents of the web page

  • A tool can be create that can extract the metadata such as function, definition, type, arguments, brief description, author, and so on from the source code and store them in OWL. This source code can be stored in the Hadoop Distributed File System (HDFS) repository

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Summary

INTRODUCTION

The World Wide Web has changed the way people communicate with each other. The term Semantic Web comprises techniques that dramatically improve the current web and its use. That is to develop new software projects with reusable codes. A tool can be create that can extract the metadata such as function, definition, type, arguments, brief description, author, and so on from the source code and store them in OWL. This source code can be stored in the HDFS repository. The development can search for components in the OWL and retrieve them at ease. The uploading of projects in the OWL and HDFS the corporate knowledge grows and the developers will use more of reuse code than developing themselves.

Metadata
Ontology
SOURCE CODE RETRIEVER FRAMEWORK
KEYWORD EXTRACTOR FOR UML
METHOD RETRIEVER
Query processor
SPARQL query
SOURCE RETRIEVER
CASE STUDY
Method
VIII. CONCLUSION
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