Speaker: Marcus Mennemeier verfügt über 20 Jahre Erfahrung in IT-Projekten für die Automobil-, IT- und Medienbranche. Dabei hat er sich als Unternehmer und Geschäftsführer vor allem mit der Koordination und Konzeption komplexer. Softwareprojekte beschäftigt. Er ist eine strategische Quelle für Ideen und Impulse im Bereich der Plattform- und Softwareentwicklung mit dem Fokus auf kollaboratives Projektmanagement.
In PROD, my course on software product management, students can choose to develop a business plan for a software product. Not all of my students seem to take this as serious as I wished. Here is the opening sentence of the exec summary from one of the teams:
With a total loss of 388,987.50 Euros in the period of 2017 to 2019, we will increase profit by 2,123,121 Euros and the customer base by 1392% […] Break even will be reached by mid 2018.
Reminds me off the bubble days: “We will make 80 cents for one dollar spent and will be profitable in no time!”
The project management tool “RPLAN” makes it possible to plan projects efficiently and transparently. The user’s planning effort should be as small as possible. This will be achieved through a smart product which proposes further steps independently to the customer. For this purpose, RPLAN is connected to the web interface “Slack”, automating the planning process using natural language.
Arrow.js supports the user to identify the correlation between multiple contexts and a single file. We score the relation between different resources. As the result the user gets a score, which describes the probability of a connection between these data sets. This service is accessible through a REST call.
A system to test, if new data and code versions for the DB ticket booking system are valid. The system is deployed in a Docker container to be used in a continuous delivery process. The data and code versions are integrated into a VM, given to us by DB Systel, which can get booking requests and replies with the same information the DB booking site would. By validating, if these replies are what we expected, we can detect if the new code has errors a lot faster than before, thus improving overall developing speed of DB Systel.