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Adaptive Test Strategies Using PATFrame

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(1)

Poster Session

2009 ESD

Symposium

MIT

ESD

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Thesis advisor: Dr. Ricardo ValerdiReader: Professor J. Utterback

Start date Jan 2008

Research Group: System Design and Management

Corporations develop on-going cultures similarly to the way

nations do. This research investigates whether certain cultures align with different types of innovation: incremental and radical; disruptive and sustaining.

What is going on? Companies innovate but may not be matching their type of innovation to their corporate culture.

How did it get that way? Companies create their corporate strategy based on market analysis and external assessments instead of

looking inward at their own strengths and styles.

:K\LVQ¶WLWZRUNLQJQRZ"&RPSDQLHVIRUFHDVWUDWHJ\RQWKHLU employees that is addressing the external world and forces

employees and the culture to act differently from its authentic form.

Are certain corporate cultures better suited to certain types of innovation? If so, how can a company create an innovation

strategy that fits its own culture and prepares it to compete in the external market? Does perspective matter? That is, does seeing a corporation as determined by the particular people comprising it or seeing it as an entity through which different people flow

influence this research?

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Hypothesis:

Corporate culture

and innovation type

reinforce or detract

from each other.

Ultimately, be able to help align corporate innovation strategy with corporate culture and encourage corporate culture to

engender innovation.

Initially, determine whether a relationship exists between

corporate culture and innovation strategy or whether the external market environment is the primary influence in innovation

strategy.

Afuah, A. and J.M. Utterback. "Emergence of a New Supercomputer Architecture." Technological Forecasting and Social Change, vol 40, 1991: 315-328.

Brown, W.B. and N. Karagozoglu. "A Systems Model of Technological Innovation." IEEE Transactions on Engineering Management, Vol 36,

No.1, February 1989, 1989: 11-16.

Christensen, C.M. and M.E. Raynor. The Innovator's Solution: Creating and Sustaining Successful Growth. Boston: Harvard Business School Press, 2003.

Ettlie, E.J. and W.P. Bridges. "Environmental uncertainty and organizational technology policy." IEEE Trans. Eng. Manag., vol EM-29, no1, 1982.

Fowler, F.C. "Applying Hofstede's CrossCultural Theory of Organizations to School Governance: A French Case Study." Reports

-Comparative and International Education Society Conference. Toronto: -Comparative and International Education Society, 1999. 1-35.

Hage, J. and R. Dewar. "Elite values versus organizational structure in predicting innovation." Admin. Sci. Quart., vol 18, 1973. Hofstede, G. Cultures and Organizations: Software of the Mind. London: McGraw-Hill Book Company, 1991.

Kelly, G. "Seducing the elites: The politics of decision making and innovation in organizational networks"." Acad. Manag. Rev., 1976: 66-72. McGregor, J. The World's Most Innovative Companies; Businessweek. April 17, 2008.

http://images.businessweek.com/ss/08/04/0417_mostinnovative/index_01.htm (accessed Nov 10, 2008).

Miller, D. and P.H. Friesen. "Innovation in Conservative and Entrepreneurial Firms: Two Models of strategic Momenetum." Strategic

Management Journal, Vo 3, No 1. (Jan.-Mar., 1982), 1982: 1-25.

von Hippel, E. Democratizing Innovation. Cambridge: The MIT Press, 2005.

CD6#E(#7$%*-()0<&(0*-5EF-*G'#7>=#-(3

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Ellen Czaika

eczaika@mit.edu

Using the sociological categorizations developed by Hofstede and the models for innovation developed by Utterback, Abernathy,

Christensen, Henderson, Brown, Miller and Friesen, identify where

each test corporation falls in each model and run statistical regression to determine significant correlations.

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Dr. Ricardo Valerdi, Masters Thesis Advisor

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Following a literature review of appropriate sociological models for cultural classification and technology and business models for innovation, I selected the models in which to investigate a

relationship. Then I identified candidate companies from which to collect data. The data to collect from each company include:

cultural data and innovation data to identify cultural pattern and current innovation type.

Adaptive Test Strategies Using

PATFrame

Technology and

Policy Program

Thesis advisor: Dr. Ricardo Valerdi

John T. Hess

johnhess@mit.edu

2010 Annual Meeting

Expected Graduation Date: June 2011

Poster Session

Motivation

The PATFrame Team

Methodologies Leveraged

Sponsors and Transition Partners

Acknowledgments

Unmanned Systems from MIT

“A battle plan seldom survives first contact with the enemy. Strategy is a system of expedients”

-Helmuth von Moltke the Elder

German Generalfeldmarschall

What is PATFrame?

•Design of Experiments

•Defect Modeling

•Simulation

•Real Options

•Decision Theory

•Ontologies

•Value Based Testing

Professor Deborah Nightingale

Like a battle plan, a test plan is predicated on

incomplete information. We don’t know what

failures our testing will uncover, so even the best

test plan can be “overcome by events” at any time.

Embracing the second part of von Moltke’s famous

quote, we realize that the best “strategy” for T&E is

adaptation. We propose a Prescriptive and

Adaptive Testing Framework (PATFrame) that

enables testers to address the rapidly evolving

needs of Unmanned and Autonomous Systems Test

(UAST).

PATFrame is a Decision Support System Addressing

Questions Posed by the Test Community:

•How much testing is enough?

•How long will testing take? How much will it cost?

•How do I test effectively given the compressed schedule of

a “Rapid Acquisition” program?

•How do I measure the quality of my tests?

•What are the most valuable tests for my system?

•How should I prioritize my tests?

•How do I make sure my tests are representative of the

operational environment?

•How do I get more knowledge for my dollar?

•What are the unique challenges in testing UAS’s and

Systems of Systems (SoS’s)?

•How do I test a SoS without explicit requirements?

•How does my system affect the SoS in which it operates?

•What are the most valuable tests for my SoS?

Images courtesy of mit.edu

This material is based upon work supported by the Department of Defense, United States Army, White Sands Missile Range, NM. under contract #

W9124Q-09-P-0230

Any opinions, findings and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the Department of Defense, United States Army, Whites Sands

•Cost Modeling

•Exploratory Testing

•Evolutionary Testing

•Mission Based Test

and Evaluation

•Bayesian Probability

•System Dynamics

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