https://github.com/acejump/tracejump

📸 Augmened reality for trace link navigation.
https://github.com/acejump/tracejump

augmented-reality navigation traceability

Last synced: about 2 months ago
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📸 Augmened reality for trace link navigation.

• Host: GitHub
• URL: https://github.com/acejump/tracejump
• Owner: acejump
• Created: 2019-09-22T19:44:31.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2022-12-23T11:01:06.000Z (about 2 years ago)
• Last Synced: 2024-03-26T16:18:44.447Z (9 months ago)
• Topics: augmented-reality, navigation, traceability
• Language: Kotlin
• Homepage:
• Size: 11.4 MB
• Stars: 17
• Watchers: 5
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# TraceJump

Mixed reality trace link navigator. Generates trace links from pixels.

## Preview

![](https://user-images.githubusercontent.com/175716/66264340-7ba36e00-e7d1-11e9-8ca2-df94f2d357b6.png)

## Running

Tested on Mac OS X:

```

git clone https://github.com/acejump/tracejump && cd tracejump && ./gradlew run

```

Press Ctrl+\\ to activate TraceJump. Some links will appear:

![](https://user-images.githubusercontent.com/175716/67155780-4c1d5700-f2e3-11e9-91bf-50b66aa8f6da.png)

 

Use the adjacent two-character tag to select one. A menu will then open:

![](https://user-images.githubusercontent.com/175716/67155736-9b16bc80-f2e2-11e9-8091-bf6145426362.png)

Select a menu option (e.g. by typing `h`) to jump into the semantic web:

![](https://user-images.githubusercontent.com/175716/67155762-f9439f80-f2e2-11e9-9b2e-4c29f40440aa.png)

## To Do

* Support configurable trace link targets

* Support context sensitive trace links

* Support modal menu-based navigation

* Prefetching and shortcut navigation (A->B->C => A->C)

* Text-to-speech capabilities

* Mobile application

## Learn more

* [Knowledge and Software Technology (KAST) Research Group](https://www.cs.mcgill.ca/~jguo/lab.html)

* [Towards an Intelligent Domain-Specific Traceability Solution](https://www.cs.mcgill.ca/~jguo/resources/papers/ASE14_DoCIT.pdf)

* [Semantically Enhanced Software Traceability Using Deep Learning Techniques](https://arxiv.org/pdf/1804.02438.pdf)

* [Traceability in the Wild: Automatically Augmenting Incomplete Trace Links](https://arxiv.org/pdf/1804.02433.pdf)