It's a rough analysis for Google Search Engine.Basically we tried to show how the system work and what are the procedures the followed.

1. Group Members:
1.Razia Sultana (12101047)
2.Tajul Islam(12101067)
3.Syeda NoorJaha (12101064)
4.Ibtehaz Shawon(14341001)
5.Abu Sufian(12101048)
6.Arafat Habib(121010156)

2. Introduction to the
system(Features and Uses)
 Safe search with best result is the main feature of
Google search engine
 Suggestion during search with local benefit
 Language translation
 Cached link to give the quick search that visited earlier
 Update information with newspaper, weather
information, Videos

3. Continue…
 Street Maps with travelling information
 Books, images, music, videos, movies, products and
sites search
 Q/A and definitions

4. System Details
 Type of site: web search engine
 Available in: 123 Languages
 Written in: python, c, c++
 Launched : September 15, 1997
 Around 15,000 Software developer
 Web Crawler,Indexing,Page Rank algorithm are the
main property for search engine.
 Crawling done by using Python

5. Continue…
 Number of Web Pages Fetched (24 million)
 Number of Urls Seen(76.5 million)
 Total Size of Fetched Pages (147.8 GB)
 Short Inverted Index (4.1 GB)
 Full Inverted Index(37.2 GB)
 Links Database (3.9 GB)

6. Methodology
 Google Search Engine uses Agile model.
 Agile development provides opportunities to assess the
direction throughout the development lifecycle.
 such as Scrum, Extreme Programming, Lean
Development, Feature-Driven Development (FDD),
Crystal

7. Continue…

8. Source Code Management (Tools)
● Open Source Project like Android & Chromium
● Perforce setup & internal tools (ex: git)
● Code Branching
● Special version of Google Code Search & top secret
code searching tools.

9. Build management(Tools)
 Google has available tools for tracking dependencies
and then running automated testing
 Google used the Rietveld Code Review Tool to keep
track of all issues and comments, and to keep track of
differences between versions of codes.
 Developers Update their works using this tool
this tool used as a build management for making
search engine

10. Continue…

11. Bug tracking
 1.LGTM
 2.Hotspot,Bug prediction and Rahmann’s Algorithm
 3.Buganizer

12. Conclusion
 Google is designed to be a scalable search engine
 Google employs a number of techniques to improve
search quality including page rank, anchor text, and
proximity information
 Google is a complete architecture for gathering web
pages, indexing them, and performing search queries
over them.

13. THANK YOU

14. Sources
 <http://google-engtools.blogspot.com/2011/12/bug-
prediction-at-google.html>