We’ve just uploaded to pypi a new collection of GrimoireLab Python packages suitable for direct installation with pip. Please, upgrade your virtual environments!!!
These packages allow for a very easy use of most GrimoireLab tools. For example, assuming you have ElasticSearch and Kibana installed locally (or available as cloud services), producing a fairly complete software development dashboard from scratch for a git project is just a matter of running a few commands.
North Bridge and Black Duck published last January their 2016 Future of Open Source Survey Results with a lot of interesting conclusions. Maybe the biggest one it’s that Open Source continue gaining force inside the IT business, but its management is chaotic because the lack of process.
Most common problems related on the survey were:
Nearly 50% of companies have not formal policy and process for selecting and approving open source code.
One of the major problems of that is security. 47% don’t have a formal process in place to track the code and only 19% of vulnerabilities are detected and fixed automatically.
Nearly 1/3 has no process for identifying tracking or solving known open source vulnerabilities.
Over 1/2 companies has no responsible to identify and tracking remediation.
We are all used to open source projects. Concepts such as community, code review process, continuous integration, geographically distributed contributions, community managers, and a whole myriad of terms and collaborative way of working are usual for all of us. And enterprises are learning from this open process. Those are changing the direction of their development models to a more open one within the organization. Initiatives such as the Inner Source Commons where companies such as PayPal or Bloomberg are publicly exposing their case, help others to deal with the usual problems they face.
To celebrate 25 years of Linux kernel development, we at Bitergia have produced the Linux development history dashboard. This dashboard visualizes the current Linux git repository from two points of view: the history of all commits (changes to the source code) up to now, and the history of all lines in the current version. The dashboard visualizes the main parameters about the development (the who, when and what) are visualized, and allows for drilling down in the data, for example finding the specific commits that lead to a specific part of the code.
Do you want to learn about when the lines in the current kernel were authored? Who has participated in specific areas of the kernel? How many files have remain untouched for more than 10 years? Play with the dashboard and find your own interesting details!
The dashboard was produced using only free, open source software tools (among them, GrimoireLab, our tookit for software development analytics). If you want to learn more details, check the slides I intended to use for my presentation at LinuxCon, which unfortunately I couldn’t attend. Those provide some more insight about how it was produced, some examples about how it can be used, and some curiosities found by exploring it.
One of the first tasks done by a developer during the day is to choose where to go and what to fix. Backlogs are quite useful for this purpose, either using Kanban and directly having a look at the open issues waiting lists project by project as in the case of GitHub, or using any other manual or automated method.
For this engineering focus we have started to produce some panels whose main purpose is to help developers to make decisions. As this is still in its first stages there is room for improvement, but this hopefully shows how powerful this could be. The displayed panel is part of the open analytics panel produced for the CoreOS community.
CoreOS Pull Requests / Issues Backlog panel
This panel aims at providing information at three main levels:
Bitergia gathers data from almost the entirety of the set of tools associated with collaborative software development, providing useful information, metrics and insights for different profiles.
It seems that the first person that needs this kind of information is the community manager. But, there are other profiles that can get advantage of tracking projects and understanding the details to answer specific questions.
Which are other profiles that could be interested in metrics, and the information they can get from that data?