open source java projects with source code github

GitHub itself offers a public API to query any project. As usual, this post does not pretend to be an exhaustive and perfect analysis of the tools but just a way to sort out a little bit the myriad of notes and thoughts I had written down in several places.

Let’s see the Git and/or GitHub analysis tools I know (and let me know the ones I may be missing).

Depending on your scenario one of them may be enough. While I haven’t found the perfect tool (for me), at least we do have a number of good tools that will help you prepare this kind of ETL process for software data. Without spending weeks preparing the scripts to run the process (and more weeks waiting for them to finish).Even better if it has a temporal dimension Let me decide how to analyze the data (instead of limiting it to a number of predefined visualizations).Even better, if the tool would help to find me the projects I want to learn more from (using some kind of search tool based on the project language, size, popularity,…) and Supports extracting data from a number of projects “on-demand”.from communication channels the community may be using) Covers a good number of data sources around the project (for sure Git and the issue/bug tracker but also other importers, e.g.There is even a conference devoted to this field of research.īut, so far, I haven’t been able to find a tool that Plenty of researchers ( ourselves included) focus on developing new theories on software engineering stemming from mined data. And it’s not because of a lack of interest in mining this data.

to know how yours is doing compared to other “similar” ones), it’s almost impossible without investing too many hours. And if you want to analyze a number of projects (e.g. It’s actually quite difficult to easily get data out of Git/GitHub. GitHub) where your project resides.Īnd this is where problems start. Most times, this implies getting some meaningful data out of the Git repository and the code hosting platform (e.g. You shouldn’t reach any conclusion regarding the health of your project or the actions to take to improve it without a good look at the data describing the project evolution (in terms of code changes but also regarding the community changes, especially if we are looking at an open-source project). This is also true for any decision that affects your software projects. Any important decision should be grounded on data.

Open source java projects with source code github