This presentation is about a lecture I gave within the "Green Lab" course of the Computer Science master program, of the Vrije Universiteit Amsterdam. http://www.ivanomalavolta.com

1. ‹#› Het begint met een idee
The Green Lab
Introduction to the course
Ivano Malavolta

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Nice to meet you
iOS developer2009
Android developer2010
Cross-platform developer2011
Instructor on mobile apps development
for 5 years2012
VRIJE
UNIVERSITEIT
AMSTERDAM
2014
2016
Experiments in the
GREEN LAB
Empirical research on hybrid apps
2017

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The Green Lab
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Our platform for researching
on software
▪ energy efficiency
▪ performance
Students measure
real software solutions
OpenSTF
+ ADB
Serve
web pages
VMWare
manager
SSH
MEASURES
Wifi
network
Router
Experiment
orchestrator
OpenSTF
Web
interface
Power
meters
A PLATFORM
A COURSE

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The Green Lab
Code: 418158
Period: 1 (September-October)
ECTS: 6.0
Language: English
Technically challenging: YES!

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Recommended background knowledge
Basic knowledge of Java
to check whether you know Java, follow this tutorial (until the Java – Packages
section): https://www.tutorialspoint.com/java
Basic knowledge of web technologies
HTML5
CSS
JavaScript
OPTIMUM: Android development

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Who is who
• Ivano Malavolta
• i.malavolta@.vu.nl
• Room T4.38 – Sciences building
• Gian Luca Scoccia
• gianluca.scoccia@gssi.it
• mobile tools + R
• Eoin Grua
• e.m.grua@vu.nl
• access to mobile devices
teaching assistants
coordinator & lecturer

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What this course is about
• MAIN GOAL – to learn about:
• energy efficiency of software
• empirical software engineering
• data-driven
• the experimental process
• Build a successful experiment in the lab
• Android apps profiling
• Data analysis with R
• Data visualization with R
• How to write a scientific report/academic paper

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Course schedule
3 types of lectures:
• Theory
• Tutorial
• Hands-on session

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A typical lecture
• ~5 minutes
• discussion about the previous lecture/lab
• questions about how it went, feeling about the tools, problems,
ideas, etc.
• ~1.5 hours
• lecturing, giving and explaining examples, moderation of
possible discussions
• ~5 minutes
• wrap up, discussion of reading material, look forward to the
next phases of the course
Each lecture will be your
compass, not your book

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Textbook
Experimentation in Software Engineering
by Anders Wesslén, Björn Regnell, Claes Wohlin,
Magnus C. Ohlsson, and Martin Host
http://link.springer.com/book/10.1007%2F978-3-642-29044-2
It is also available on Canvas
Additional books also available on canvas, use
them as manuals

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A typical tutorial session
• ~5 minutes
• discussion about the previous lecture
• ~1.5 hours
• the TA shows you how to use the tools
• explanation of a simple exercise and its execution in an
interactive manner
• the source code of the exercise will be available on Canvas
if you attend, you
already learnt J

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A typical hands-on session
• ~5 minutes
• discussion about the previous lecture
• ~1.5 hours
• you can work on your own team project
• you can ask questions at any time to the instructor, thus
solving your problems “on-demand”
• bring your own laptops

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Grading
• Team project (100% of the final grade)
• start day-1 with the project work
• if you are not familiar with the technologies
à study and practice
• teams of 3-4 students
• Aims:
• to put in practice what you will learn
• to develop your technical skills
Start forming teams NOW!

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Schedule and deliverables
• Deliverable 1 (20% of the final grade)
• Experiment goal and scope description
• Deliverable:
• written report
• Deadline: 21 September: 23:59
• Deliverable 2 (30% of the final grade)
• Detailed design of the experiment
• Deliverable:
• written report
• Deadline: 5 October: 23:59
• Deliverable 3 (50% of the final grade)
• Final report of the experiment
• Deliverable:
• written report
• experiment execution scripts and source code
• raw data
• analysis scripts in R
• Deadline: 29 October: 23:59

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Grading
To pass the course the following conditions must be met:
• The score of each assignment must be 6.0 or higher
• The final weighted grade of all assignments must be 6.0 or
higher
Deadlines and slip days:
• Deadlines are firm
• Violating deadlines means losing slip days
• You have 2 slip days per team
• You decide how to spend them
• Your assignment will be marked fail after you exhaust your
slip days

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Relationship with tutorial and hands-on sessions
Attendance to tutorial and hands-on sessions is VERY advised
(aka mandatory)
Each lab session will correspond to a specific part of your
project
à you can look at how each part is done by a TA
à you can ask questions to the TA interactively
Misinterpreting or not applying what TAs teach in lab sessions
will result in failing the course

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What we expect from you
This is a 6 credits course
à we ask you to invest approximately 150 hours for passing the
exam
Your estimated average time per week is as follows:
• Attending lectures and lab sessions: 4 hours
• Studying literature and lecture material: 6 hours
• Working on your team project: 8 hours
TOTAL: 18 hours
• Total study time: 18 hours x 7 weeks = 126 hours
• Preparing for the final report: 150 – 126 = 24 hours

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Communication
• All course material is provided on Canvas
• Dedicated discussions on Canvas
• you will easily find potential solutions to your problems
already in there
• For questions concerning specific cases about the course
• i.malavolta@vu.nl
• Meet and talk to us during the breaks J

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This course is about opportunities

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First action!
• Form your team (by today!)
• fill this form:
• https://goo.gl/8oFDKC
• tomorrow I will finalize the teams on Canvas
• Start getting familiar with technologies
• Android Debug Bridge (ADB)
• https://developer.android.com/studio/command-line/adb.html
• R Studio (open source edition)
• free tutorial: https://goo.gl/YTk4IO