Projects

Current Projects

  1. Compression Techniques for Shortest Distance Query

The goal of this research is to improve searching of queries by compressing large graphs based on its structure. Shortest distance query is a key important research area in basic computing which has tremendous application in social networks, web graphs and road networks. Some existing distance indexing methods require high storage space and some are performing slow in query searching. The compression technique of this research can be used to minimise those. The importance of this research is significant as the query searching is becoming challenging day by day due to the growing volume of data.

Completed Projects

  1. Graph Compression for Optimizing Reachability queries

The goal of this research is to improve searching of queries by compressing large graphs based on its structure. Reachability query is a key important research area in graph database management. Some existing reachability algorithms require high storage space for indexing and some has high computational complexity. The compression technique of this research can be used to minimize those. The importance of this research is significant as the query searching is becoming challenging day by day due to the growing volume of data in web.

  1. An Aspect of Sentiment Analysis: Sentimental Noun with Dual Sentimental Words Analysis

With the increasing number of digital data and new technologies, business trends and model are becoming more dependent on computer science for making business decision and operation. By extracting user opinion for decision making and market analysis sentiment analysis is one of fast growing and reliable tool nowadays. Having a number of good research, the major issues of sentiment analysis have been solved except sentiment detection from the noun. Sometimes noun has sentiment base on the application, in this research, we have solved this with a possible solution for duel sentimental words. With existing technology, we applied some rules and developed a model to do this.

[Paper link]

  1. OSCRUM: A Modified Scrum for Open Source Software Development

Open Source Software has become much popular among developers, organizations etc. There are various kinds of places on the web in which Open Source Software has hosted such as Source Forge, GitHub, Google Code, Bitbucket etc. Open Source Software Development create a community which has huge interaction and intercommunication among the world's top developers and also various kinds of users. That's why Open Source Software has a large number of testers, developers, contributors also. On the other hand, Scrum also plays vital role as an agile approach in the field of traditional software development. Scrum has greater acceptance in software development industry and it is also rapidly growing and widely used software development framework. In recent, a research claimed that the most adopted agile approach in the software development industry is Scrum.Scrum was originally designed for use in small team members of whose are collocated, face-to-face working. Open Source Software is developed with multiple teams or contributors distributed to several geographical locations. During the adoption of the scrum in the field of Open Source Software Development there are much more similarities found between the process of Open Source Software Development and the Scrum. Some conflicts also exists with the time-boxed concept of Scrum and some other issues. This research proposed a scrum based model for open source software development after identifying and comparing the similar and dissimilar metrics or terms of Scrum and Open Source Software Development.

[Paper link]