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We are using TFS 15 with mixed teams and we like to use the activities for capacity planing a little better. But I can only set a capacity for a specific activity.
Senior Developer Bill
1.0 h for Development
0.5 h for Testing
0.5 h for Documentation
2.0 h for Design
Junior Developer Joe
3 h for Development
1 h for Testing
1 h for Documentation
However we would like to say Bill has a total of 4.0 h a day and he can spend them on Dev, Testing, Doc, & Design as need be. Same for Joe, he has a total of 5 h a day and can spend them on Dev, Testing, & Doc.
Some sprints are very design and documentation heavy where some are mainly testing and deployment.
No, you can't do that. You can submit feature requests to Microsoft on User Voice.
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I have got a problem where I have to automate some task. Let's say switching on and off an appliance based on the user interaction with it on different days of the week.
Let's say we have a bulb B1 and a user U1. In beginning U1 will switch on and off the bulb B1 at times he wants. For example he may switch it on at 9:10 AM on Sunday and switch off at 11:15 AM on Sunday. Similarly if we divide 7-days into 5 time units we shall get 2,016 unit times. Our system has to learn user behavior against each 5-minutes unit and after 2 weeks of learning switch on or off the bulb as the user would have.
Do you think it can be accomplished with Re-enforcement based learning techniques? Any other machine-learning algorithm suggestion?
It is basically for a home automation with machine learning university project.
When reading your question, my first intuition was to try a Bayesian Inference approach using a uniform distribution over the unit times as prior and user behaviour as evidence. A good visual explanation can be found here. Also, you can have a look at this medium post.
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I have a dataset that has, users, items and views,which is the interaction between user and item.
The only difference in this dataset from the other recommendation datasets is that, the items have strong timeliness i.e. the items expires after a certain time period and won't be considered anymore.(Items life span can range from 1 week - 4 months)
You can use Bayesian Personalized Ranking for implicit feedback. I wrote about my experience of building such recommendation systems using Tensorflow.
Regarding timeliness, you should use only active items to find recommendations.
For an example of the workflow can look like:
you need to recommend 5 items;
you ask the system to give you 30 recommendations using only active items;
then exclude items that will expire in the next 2 days;
then randomly select 5 from those who stayed;
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here in my company we're using SCRUM with TFS and sprints two weeks long, we have to maintain basically .net applications (web, desktop), android apps, and SAP programs.
So, we can't create a full sprint because there isn't enough work to do, but, at half sprint start to appear more Product Backlogs to take care of and everybody starts to apply pressure so their PBs be finished quickly (Basically emergencies).
We can't wait for the sprint to finish to attend this emergencies so we change priorities on the fly. So basically the sprints mean nothing to our team :/ and all the pretties charts lose meaning.
How we can deal with this, we are not living a project like day by day to have the knowledge of what tasks are going to appear at the next sprint.
Maybe Kanban would be a better approach if you can't commit to a two week timeboxed period but still would like to follow a formal process where "charts" make sense.
http://kanbanblog.com/explained/
You can add as many tasks as needed to capture the work required to complete each item. For example, you have a task in Future Sprint, but you would complete it in Current Sprint, you can move this task to Sprint1:
More information of Sprint Plan, you can check:
https://www.visualstudio.com/en-us/docs/work/scrum/define-sprints
https://www.visualstudio.com/en-us/docs/work/scrum/sprint-planning
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has somebody an idea how to distribute a specialized personal app?
AdHoc is possible only up to 100 devices. What to do when suddenly comes 1000 people?
In this time has nearly everybody his own website, what happened when tommorow wants everybody his own app ( and is not a company with business licence )?
Thank you for any answer, idea, opinion...
Based on your description, each of your 1000 people (clients) would need to have their own enterprise account.
Apps are different to websites though so your comparison isn't strictly accurate.
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On average how long does it take Apple to update/publish my new app/update on the App Store and iTunes website?
This link requires you to sign-in to your developer account:
https://developer.apple.com/appstore/resources/approval/index.html#expect
There is a box on the right with approval statistics - most update reviews are currently being completed within 8 business days.
E:
There are no longer statistics on that page (and it is no longer dev-account protected).
Statistics are now available without signing in:
https://developer.apple.com/support/appstore/#appReviewStatus
There is a box on the left with % of new/updated apps reviewed in the past 5 business days.
There are also community efforts to continue tracking approval statistics by # of days:
http://appreviewtimes.com/
Keep in mind that community efforts rely on self-reporting of approval times.
It depends on a human at Apple reviewing your app. If you'd made a few small graphics changes then it won't take very long, if you've added stuff like access to the address book or whatever they may look more closely. And it may take a while for them to get to yours if lots of other apps have been submitted recently too. So you might as well ask "How long is a piece of string?"
usually around 8-10 days from what I've experiences (and according to this site)
http://reviewtimes.shinydevelopment.com