Git with bitbucket

Feb 18, 2017Download as PPTX, PDF0 likes335 views

Suhas Shivaram

This presentation gives a walk though of the Git with Bitbuket - a popular cloud repository for hosting Git projects.

• Git is the most widely used modern version control system in the world today.
• Git is built on distributed architecture.
• Git is a DVCS (Distributed Version Control System).
 Rather than having only one single place for the full version history as in SVN.
 In Git, every developer's working copy of the code is also a repository that can contain the full history of all changes.
COPYRIGHT 20172
What Is Git?

• Feature Branch Workflow
 Feature branches provide an isolated environment for every change to your codebase.
 This ensures that the master branch always contains production-quality code.
 Represents development work at the same granularity as the your agile backlog.
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Why Git?
Feature
Master

• Distributed Development
 Each developer gets their own local repository, complete with a full history of commits.
 Having a full local history makes Git fast, since it doesn’t need a network connection to
or perform diffs between commits.
 Distributed development also makes it easier to scale your engineering team.
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Why Git?
DistributedCentralized
Full Repo
Local RepoLocal Repo
Centralized
Repo
Working
Copy
Working
Copy

• Pull Requests
 A pull request is a way to ask another developer to merge one of your branches into their
 Helps project leads to keep track of changes.
 Lets developers initiate discussions around their work before integrating it with the rest of
COPYRIGHT 20175
Why Git?
Feature
Master

Some of the key differences between Git and SVN
• GIT is distributed, SVN is Centralized
• GIT stores content as metadata, SVN stores just files
• GIT branches are not the same as SVN branches
• GIT’s content integrity is better than SVN’s
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Git vs SVN

• Bitbucket is a cloud based hosting service for projects that use Git.
• Bitbucket is an Atlassian product. Jira credentials can be used to access Bitbucket.
• Features of Bitbucket
 Pull requests facilitate code reviews
 Branch permissions provide granular access control for your team
 Collaborate right in your code with inline comments, threaded conversations and mentions.
 Integration with Jira for branching out feature.
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What is Bitbucket?

SourceTree is a free Git client for Windows or Mac.
Advantages of SourceTree:
• Branch management
• Working copy
• Branch history
• GitFlow
• It’s free
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SourceTree

• https://www.atlassian.com/git/tutorials
• http://sagittarius.agency/blog/5-reasons-to-use-sourcetree-for-git
• http://boxysystems.com/index.php/5-fundamental-differences-between-git-svn/
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References

Bitbucket is a web-based hosting service that provides unlimited private repositories for up to 5 developers using Mercurial or Git revision control systems. It allows teams to work collaboratively through features like pull requests, code reviews, and inline comments directly in source code. Bitbucket also provides visibility into repository and commit history through tools to compare changes across branches, files, and forks.

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Exceptions allow developers to handle error cases expected to occur infrequently. Ideally, good test suites should test both normal and exceptional behaviors to catch more bugs and avoid regressions. While current research analyzes exceptions that propagate to tests, it does not explore other exceptions that do not reach the tests. In this paper, we provide an empirical study to explore how frequently exceptional behaviors are tested in real-world systems. We consider both exceptions that propagate to tests and the ones that do not reach the tests. For this purpose, we run an instrumented version of test suites, monitor their execution, and collect information about the exceptions raised at runtime. We analyze the test suites of 25 Python systems, covering 5,372 executed methods, 17.9M calls, and 1.4M raised exceptions. We find that 21.4% of the executed methods do raise exceptions at runtime. In methods that raise exceptions, on the median, 1 in 10 calls exercise exceptional behaviors. Close to 80% of the methods that raise exceptions do so infrequently, but about 20% raise exceptions more frequently. Finally, we provide implications for researchers and practitioners. We suggest developing novel tools to support exercising exceptional behaviors and refactoring expensive try/except blocks. We also call attention to the fact that exception-raising behaviors are not necessarily “abnormal” or rare.

What Do Contribution Guidelines Say About Software Testing? (MSR 2025)Andre Hora

Software testing plays a crucial role in the contribution process of open-source projects. For example, contributions introducing new features are expected to include tests, and contributions with tests are more likely to be accepted. Although most real-world projects require contributors to write tests, the specific testing practices communicated to contributors remain unclear. In this paper, we present an empirical study to understand better how software testing is approached in contribution guidelines. We analyze the guidelines of 200 Python and JavaScript open-source software projects. We find that 78% of the projects include some form of test documentation for contributors. Test documentation is located in multiple sources, including CONTRIBUTING files (58%), external documentation (24%), and README files (8%). Furthermore, test documentation commonly explains how to run tests (83.5%), but less often provides guidance on how to write tests (37%). It frequently covers unit tests (71%), but rarely addresses integration (20.5%) and end-to-end tests (15.5%). Other key testing aspects are also less frequently discussed: test coverage (25.5%) and mocking (9.5%). We conclude by discussing implications and future research.

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Proactive Vulnerability Detection in Source Code Using Graph Neural Networks:...Ranjan Baisak

As software complexity grows, traditional static analysis tools struggle to detect vulnerabilities with both precision and context—often triggering high false positive rates and developer fatigue. This article explores how Graph Neural Networks (GNNs), when applied to source code representations like Abstract Syntax Trees (ASTs), Control Flow Graphs (CFGs), and Data Flow Graphs (DFGs), can revolutionize vulnerability detection. We break down how GNNs model code semantics more effectively than flat token sequences, and how techniques like attention mechanisms, hybrid graph construction, and feedback loops significantly reduce false positives. With insights from real-world datasets and recent research, this guide shows how to build more reliable, proactive, and interpretable vulnerability detection systems using GNNs.

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Designing AI-Powered APIs on Azure: Best Practices& ConsiderationsDinusha Kumarasiri

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Landscape of Requirements Engineering for/by AI through Literature ReviewHironori Washizaki

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Secure Test Infrastructure: The Backbone of Trustworthy Software DevelopmentShubham Joshi

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Exceptional Behaviors: How Frequently Are They Tested? (AST 2025)Andre Hora

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2. • Git is the most widely used modern version control system in the world today. • Git is built on distributed architecture. • Git is a DVCS (Distributed Version Control System).  Rather than having only one single place for the full version history as in SVN.  In Git, every developer's working copy of the code is also a repository that can contain the full history of all changes. COPYRIGHT 20172 What Is Git?

3. • Feature Branch Workflow  Feature branches provide an isolated environment for every change to your codebase.  This ensures that the master branch always contains production-quality code.  Represents development work at the same granularity as the your agile backlog. COPYRIGHT 20173 Why Git? Feature Master

4. • Distributed Development  Each developer gets their own local repository, complete with a full history of commits.  Having a full local history makes Git fast, since it doesn’t need a network connection to or perform diffs between commits.  Distributed development also makes it easier to scale your engineering team. COPYRIGHT 20174 Why Git? DistributedCentralized Full Repo Local RepoLocal Repo Centralized Repo Working Copy Working Copy

5. • Pull Requests  A pull request is a way to ask another developer to merge one of your branches into their  Helps project leads to keep track of changes.  Lets developers initiate discussions around their work before integrating it with the rest of COPYRIGHT 20175 Why Git? Feature Master

6. Some of the key differences between Git and SVN • GIT is distributed, SVN is Centralized • GIT stores content as metadata, SVN stores just files • GIT branches are not the same as SVN branches • GIT’s content integrity is better than SVN’s COPYRIGHT 20176 Git vs SVN

7. • Bitbucket is a cloud based hosting service for projects that use Git. • Bitbucket is an Atlassian product. Jira credentials can be used to access Bitbucket. • Features of Bitbucket  Pull requests facilitate code reviews  Branch permissions provide granular access control for your team  Collaborate right in your code with inline comments, threaded conversations and mentions.  Integration with Jira for branching out feature. COPYRIGHT 20177 What is Bitbucket?

10. • https://www.atlassian.com/git/tutorials • http://sagittarius.agency/blog/5-reasons-to-use-sourcetree-for-git • http://boxysystems.com/index.php/5-fundamental-differences-between-git-svn/ COPYRIGHT 201710 References

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