Pesquisa ágil colaborativa: princípios para uma pesquisa aplicada de impacto. Mais do que nunca, a união de forças entre academia e indústria se faz necessária para que a sociedade possa criar as soluções de seu tempo. Como ex-aluna do IME, pesquisadora e profissional de mercado, vou falar sobre princípios de como fazer pesquisa aplicada de alta qualidade e impacto, de maneira ágil, contando histórias reais de sucesso (e algumas de fracasso).

1. COLLABORATIVE AGILE RESEARCH
BCC 40 ANOS
Dr. Claudia Melo

2. • Director of Tecnology,
ThoughtWorks América Latina
• Ph.D. In Computer Science, IME-USP
• Fellow researcher@IME-USP
• 15 years in SW DEV
• 10 years educating
3
CLAUDIA MELO

3. http://gibbslawandlife.blogspot.com.br/2011/12/christmas-procrastination.html
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4. WHAT’S SCIENCE?
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5. INDUSTRY versus
ACADEMIA
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6. “Innovation diffusion or value chains that
transfer basic research to commercial
applications via research institutes and
startups are
insufficient for current industry challenges
and research goals”
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Anna Sandberg, Lars Pareto and Thomas Arts. Agile collaborative research:
Action principles for industry-academia collaboration. IEEE Software, 28(4):74–83, 2011

7. Scott Ambler, 2009. http://www.agilemodeling.com/essays/proof.htm
INNOVATION DIFFUSION

8. 9
“Closing the gap between research and
practice by encouraging a stronger
emphasis on methodological rigor while
focusing on relevance for practice”
Barbara A. Kitchenham, Tore Dyba, and Magne Jorgensen. 2004. Evidence-Based Software Engineering. In Proceedings of the 26th International
Conference on Software Engineering (ICSE '04). IEEE Computer Society, Washington, DC, USA, 273-281.

9. LACK OF EMPIRICAL EVIDENCE
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10. In theory, theory and practice are
the same. In practice, they are not.
- Einstein
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11. 12
Anna Sandberg, Lars Pareto and Thomas Arts. Agile collaborative research:
Action principles for industry-academia collaboration. IEEE Software, 28(4):74–83, 2011

12. COLLABORATIVE
AGILE RESEARCH
My own example
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13. 14
SOFTWARE PRODUCTIVITY IS A GENERAL
STRATEGIC CONCERN IN SEVERAL
INDUSTRIAL SECTORS

14. OVERVIEW OF MY
DOCTORAL STUDIES
Phase I Phase II Phase III
Multiple-case studies on Agile
team productivity definitions and
agile team productivity factors
2010-2011
Survey
on Agile productivity
expectations
and benefits
2011-2012
Action research for
exploring and assessing
productivity monitoring and
measurement in agile teams
2012-2013
Warm-up
studies on Agile
methods impact on
productivity
2009-2010
Study of software
productivity
definitions, factors
and metrics
2009-2010
Study of Agile productivity
metrics and performance
monitoring, measurement
dysfunctions, and monitoring in
self-managed teams
2011-2012
P1,P2
P4, P6,
P7, P9
P3
IR1
P5, P8
IR2
August 2009 March 2013
Research study
Paper
Industry report
In collaboration with Norwegian University of Science
and Technology
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15. 16
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NVivo 9
• 6-Month Interviews transcribed
in 400 pages + Observation
notes + Artifacts
• Research and data source
triangulation, incrementally
analyzed in 12 months
• Conceptual framework
developed in the first months.
Updated in the last months.
ANALYZING QUALITATIVE DATA

16. 17
Better researcher by working on relevant
problems,
better practitioner by identifying and applying
scientific methods
Anna Sandberg, Lars Pareto and Thomas Arts. Agile collaborative research:
Action principles for industry-academia collaboration. IEEE Software, 28(4):74–83, 2011

17. RESEARCH IMPACT PROXIES
18
10
conference
articles
2
Journal
papers
4
Book
chapters
Agile Alliance
global group
-
Single
participant from
the Global South
Big agile
project rescue
Data
supported a
Master
Thesis
6 courses/
tutorials
for the
community
ESE new
course at
IME-USP
South
America,
North
America,
Europe
Middle East

18. 19
19
GROUPS INVOLVED
4+

19. OTHER EXAMPLES
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20. APPLIED RESEARCH EXAMPLE: PAIR PROGRAMMING
Principles for
selecting pairs
Practical advise for
teams
7 habits of highly
effective pairs
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21. PRINCIPLES
Based on Principles of canonical action research. Robert M. Davison, Maris G.
Martinsons, Ned Kock.
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22. Principle of the
Researcher–Client
Agreement
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23. Principle of Cyclical
Process Model
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24. Principle of Theory
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25. Principle of Change
through Action
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26. Principle of Learning
through Reflection
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27. OTHER COMMENTS
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28. PERSONALITY STYLES –
DISC MODEL
CAUTIOUSNESS
D
I S
C
DOMINANCE
INFLUENCING STABILITY

29. Cross-training, T-shape

30. “If we knew what it was we were
doing, it would not be called
research, would it?”
- Einstein
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31. OBRIGADA
Questions?
claudia@ime.usp.br
cmelo@thoughtworks.com
claudiameloprof.wordpress.com
@claudia_melo