Smart Knowledge Transfer using Google-like Search

TL;DR

This paper introduces SMARTKT, a search framework that transforms program comprehension into a google-like search problem by using semantic graphs to facilitate knowledge transfer and reduce maintenance costs.

Contribution

The paper presents a novel semantic graph-based search framework, SMARTKT, enabling efficient program comprehension through google-like search capabilities.

Findings

Effective knowledge extraction via semantic graphs

Supports syntax and semantic queries

Reduces software maintenance effort

Abstract

To address the issue of rising software maintenance cost due to program comprehension challenges, we propose SMARTKT (Smart Knowledge Transfer), a search framework, which extracts and integrates knowledge related to various aspects of an application in form of a semantic graph. This graph supports syntax and semantic queries and converts the process of program comprehension into a {\em google-like} search problem.