Version Control

Dr-Ahmed Abou El-Fetouh SalehDr-Samir El-Desouky El-Mougy

Information System Department,Faculty of computers and Information Systems

Mansoura university

Computer Science Department,Faculty of computers and Information Systems

Mansoura university

By Researcher:Waleed Mohamed Mahmoud Al-Adrousy

Computer Science Department,Faculty of computers and Information Systems

Mansoura University

2

Agenda● Version Control introduction● Objectives● Previous work● Applied Algorithms and Technologies:

– Suggested load balancing architecture– Suggested Differencing Algorithm

● Testing results.● Future work

3

Agenda● Version Control introduction● Objectives● Previous work● Applied Algorithms and Technologies:

– Suggested load balancing architecture– Suggested Differencing Algorithm

● Testing results.● Future work

4

Version Control Definition● Network based system ● Controls access to computer files ● Track modifications for current and back-up

files● Tracks History.● Synchronizes Concurrent Access to files.

5

How Version Control work?

6

Without Version Control

7

With version control (Lock-Modify-Unlock) Model

8

With version Control(Copy-Modify-Merge) Model

9

(Copy-Modify-Merge) Model (Cont.)

10

Version Control Types

11

Agenda● Version Control introduction● Objectives● Previous work● Applied Algorithms and Technologies:

– Suggested load balancing architecture– Suggested Differencing Algorithm

● Testing results.● Future work

12

Objectives● Part 1

– Better load balancing based on behavior analysis.– Optimization of synchronization process.– Dynamic clustering of work.– Compromise centralized and distributed models.

● Part 2– Grammar based difference calculation.– Difference computation speed.– Adding on-line support for syntax differencing.– Application on java language.

13

Agenda● Version Control introduction● Objectives● Previous work● Applied Algorithms and Technologies:

– Suggested load balancing architecture– Suggested Differencing Algorithm

● Testing results.● Future work

14

Previous works

Technologies:● File Sharing Protocols:

– FTP● File Synchronization Protocols

– WebDav– DeltaV– RSync Algorithm– IP-RSync

● Basically need Network protocol level support

15

Previous Work (Continue)● Dick Grune in 1986 (CVS)● CollabNet Inc in 2000 (subversion)● Peer to peer (P2P) technolgies in late 1990s

16

Previous Work (Cont.)● Language Modeling is :

internal source code representation for processing ● Some famous language modeling techniques:

Famix Model XML representation standard of java source code JavaML standard

17

Agenda● Version Control introduction● Objectives● Previous work● Applied Algorithms and Technologies:

– Suggested load balancing architecture– Suggested Differencing Algorithm

● Testing results.● Future work

18

Agenda● Version Control introduction● Objectives● Previous work● Applied Algorithms and Technologies:

– Suggested load balancing architecture– Suggested Differencing Algorithm

● Testing results.● Future work

19

First Part Semi Distributed Version Control

Using Web Data Mining

20

Part 1 Objectives ● Better load balancing based on behavior analysis.● Optimization of synchronization process.● Dynamic clustering of work.● Getting both advantages of centralized and

distributed models.

21

Suggested Architecture

22

Case Study

23

Web Data Mining● Definition...● 3 Types of Algorithms:

– Centrality and Closeness – Ranking– Clustering

24

Graph● Definition:

a set of vertices and a set of edges . Edges are specified as a pair, (v1, v2), where v1 and v2 are two vertices in the graph. A vertex can also have a weight, sometimes also called a cost.

● Types– Directed → like project dependencies– Undirected → like communication between developers

25

Simple Clustering Algorithm

26

Simple Clustering Algorithm(Cont.)

27

Structured Similarity Algorithm

28

Structured Similarity Algorithm (Cont.)

29

Semi-Distributed Architecture Algorithm

30

31

Agenda● Version Control introduction● Objectives● Previous work● Applied Algorithms and Technologies:

– Suggested load balancing architecture– Suggested Differencing Algorithm

● Testing results.● Future work

32

Second PartStructured Differencing For Web

Based Version Control

33

Existing Differencing Algorithms Structure BasedLine Based Comparison

DiffX, Xdiff and Xydiff LCS Example

StructureLineComparison unit

HardEasyImplementation Difficulty

Deals with it

(helpful for developers)Ignores it

Dealing with logical nature of code that consists of

(classes, methods, objects,...etc)

34

Part 2 Objectives● Adding grammar based difference calculation.● Enhancing difference computation speed.● Adding on-line support for syntax differencing.● Application on java language.

35

Abstract Syntax Tree (AST)● Important for parsers to model source code as

structure instead of plain text/lines● Many parser generators for java , ANTLR is chosen

36

XML Standard● Known Structured data representation format.● Used widely for interoperability ● Used in many protocols in Internet and web

services.

37

Convert AST to XML

38

Differencing● Changes can be:

– ADD– Delete– Modify – Move

39

Syntax aware Differencing Algorithm

40

Syntax aware Differencing Algorithm (Cont.)

41

Agenda● Version Control introduction● Objectives● Previous work● Applied Algorithms and Technologies:

– Suggested load balancing architecture– Suggested Differencing Algorithm

● Testing results.● Future work

42

Simulation Results● Two Subsystems are simulated

– Semi-structured version controlJfreeChart, Jung,MyJTable, and Piccolo Tools

– Syntax Aware Diff For Web Based Version Control Systems

AJAX, GWT, XML, ANTLR, JDOM, XML unit and java servlets

● Note : the following results are based on custom simulation not real-life data according to limitation of human team to apply tests .

43

Part 1 Results

44

45

46

47

48

Part 2 Results

49

50

51

52

53

54

55

Agenda● Version Control introduction● Objectives● Previous work● Applied Algorithms and Technologies:

– Suggested load balancing architecture– Suggested Differencing Algorithm

● Testing results.● Future work

56

Future work

57

Part 1 Future work (for our semi-distributed proposed algorithm)

● Making a real-world case study.● Integration with coding Environment- IDE.● Considering some aspects like security and backup.● Testing in many network platforms on

heterogeneous devices.

58

Part 2 Future work(Syntax-Aware Differencing)

● Merge the semi-distributed algorithm with differencing algorithm.● Reduce the long representation of short Java source code.● Enhance the readability of the differencing results.● Integrate with an existing IDE● Enhance the Visualization of Graphical user Interface (GUI) of the web tool.● Enhance the used model of asynchronous web page design (Rich Online

IDE).● Develop as a web service.● Port this algorithm to other languages rather than Java by replacing the

modeling part to read the other language grammar.

59

Word For History

60

Thanks