systems based on
lowest TRL of
subsystems + TRL
The document discusses technology readiness assessments and how to mitigate risks from immature technologies. It explains that assessments evaluate a technology's maturity level and what is required to advance it for a project. Assessments should be done early and repeated to develop technology plans and evaluate readiness for design reviews. The process involves assigning technology readiness levels to components, subsystems and systems based on the lowest maturity and integration challenges.
A Critical Technology Element (CTE) is a new or novel technology that a platform or system depends on to achieve successful development or production or to successfully meet a system operational threshold requirement. Technology Readiness Levels (TRL) are a method of estimating technology maturity of CTE of a program during the Acquisition Process. They are determine during a Technology Readiness Assessment (TRA) that examines program concepts, technology requirements, and demonstrated technology capabilities.
A Critical Technology Element (CTE) is a new or novel technology that a platform or system depends on to achieve successful development or production or to successfully meet a system operational threshold requirement. Technology Readiness Levels (TRL) are a method of estimating technology maturity of CTE of a program during the Acquisition Process. They are determine during a Technology Readiness Assessment (TRA) that examines program concepts, technology requirements, and demonstrated technology capabilities.
The WBS is the touchstone of all work activities, cost, schedule, and technical performance on the program.
It describes technical, process, and programmatic deliverables over the life of the program
It describes how these deliverables are related through a well formed tree structure – parents and children – defined by MIL-STD-881C
It describes how costs are assigned to this work and these costs roll up to their parents in Control Account and CLINS to the Performance Measurement Baseline (PMB)
Primer on application_performance_testing_v0.2Trevor Warren
This presentation focuses on the basics of Performance Testing. It talks about the processes, challenges and activities involved with Performance Testing.
If you want to discover answers for the most often asked questions as below, glance through this presentation -
Questions often asked -
Do we get timely build with Quality?
Do we know/have capability matrix of the team?
Do we have resource/head count utilization charts?
Are we sure if features are validated on time?
Do we know if engineers understand what customers are expecting?
Do we have right channel of prioritization?
Do we have right change management control in place?
Do we know if we have tested enough?
Using Doors® And Taug2® To Support A Simplifiedcbb010
In order to become a market leader, it is imperative that all stakeholders (customers, financial sponsors, developers and testers) be aware of the customer’s needs as captured in the requirements of the products and/or services that are to be produced. This is especially so within both large and small globally distributed companies since the product development organizations often are separated by geography, time and communications. An efficient way to eliminate these potential issues is to develop a common and intuitive requirements management process, which can be deployed across the product development lifecycle. The object of developing a Common Simplified Requirements Management Process is to improve customer satisfaction, eliminate escaping defects and reduce the cost of the development lifecycle. This paper describes the problems of using localised procedures and how these problems can be eliminated by implementing a common requirements management process that is intuitive, scalable and deployed across the System Development Lifecycle. This process has been supported by the industry leading DOORS tool and more recently by the TauG2 tool. An auxiliary benefit of deploying this process is that the process was developed in compliance with standardized methods of documenting and tracing requirements as expected by TL9000 and CMM/CMMI. The net benefits of this simplified requirements process include: increased customer satisfaction due to systems being developed in accordance with the customer’s needs as captured in the requirements, compliance with industry acknowledged process standards and improved cost of quality by eliminating duplication of process maintenance since a common process has been deployed across the development organization.
Software Defect Prediction Techniques in the Automotive Domain: Evaluation, S...RAKESH RANA
Software Defect Prediction Techniques in the Automotive Domain: Evaluation, Selection and Adoption
PhD Defense, Göteborg, Sweden
Feb, 2015
Get full text of publication at:
http://rakeshrana.website/index.php/work/publications/
Presentation given during a software reliability seminar organized by Holland Innovative BV - subject was the combination of CMM and DFSS within Philips Consumer Lifestyle
Using The Advancement Degree Of Difficulty (Ad2) As An Input To Risk Managementjbci
Presentation describes the use of the Advancement Degree of Difficulty (AD2) as a means of identifying risk, cost and schedule associated with maturing technologies.
Here is an paper published on software PLC Checker by Itris Automation Square, in the French journal "Mesures" : "La qualité des programmes vérifiée par leurs concepteurs".
Enjoy the reading!
Find us at http://www.itris-automation.com/
Contact us at commercial@itris-automation.com for more information.
Priority based software development and testing techniqueBTCTechnologies
BTC Technologies provide complete guide on How to implement priority based software development and testing. Benefits of Software testing for your product. To know more visit http://www.btctechnologies.com
SDLC is a framework defining tasks performed at each step in the software or system development process. It aims to produce high quality system that meets or exceeds customer expectations, work effectively and efficiently in the current and planned information technology infrastructure, and is inexpensive to maintain and cost effective to enhance.
This presentation includes different stages of Software Deveolopment.
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
1. Mitigating the Adverse Impact
of
Technology Maturity
Project Management Challenge 2007
Fourth Annual NASA Project Management Conference
February 6-7, 2007
James W. Bilbro
Assistant Director for Technology/Chief Technologist
George C. Marshall Space Flight Center
3. Mitigating the Adverse Impact of Technology Maturity
Knowledge Building for Development
of New Products*
Technologies Design Production can meet
match performs as cost, schedule, and
requirements expected quality targets
1 2 3
Commercial
Knowledge Points
Program launch
1
DOD
Knowledge Points 2
3
*GAO
3
4. Mitigating the Adverse Impact of Technology Maturity
Timing of Match Between Customer
Expectations and Developer Resources*
Customer
expectations
Developer
resources
Launch point for Launch point for
successful cases problematic cases
*GAO
4
5. Mitigating the Adverse Impact of Technology Maturity
Development of the Radio
Frequency Countermeasures System*
F-15 and B-1 Match
requirements added achieved
Customer’s
expectations
Customer Developer reports
Developer proposes
says no 197% cost increase
additional resources
& 15-month delay
Developer’s
resources
Program
start
*GAO
5
6. Mitigating the Adverse Impact of Technology Maturity
NPR 7120.5d Requirements
KDP A – Transition from Pre-Phase A to Phase A:
Requires an assessment of potential technology needs versus current
and planned technology readiness levels, as well as potential
opportunities to use commercial, academic, and other government
agency sources of technology. Included as part of the draft integrated
baseline.
KDP B – Transition from Phase A to Phase B:
Requires a Technology Development plan identifying technologies to
be developed, heritage systems to be modified, alternate paths to be
pursued, fall back positions and corresponding performance de-
scopes, milestones, metrics and key decision points. Incorporated in
the preliminary Project Plan.
KDP C – Transition from Phase B to Phase C/D:
Technology Readiness Assessment Report (TRAR) demonstrating
that all systems, subsystems and components have achieved a level
of technological maturity with demonstrated evidence of qualification
in a relevant environment.
6
7. Mitigating the Adverse Impact of Technology Maturity
And besides that –
It’s the right thing to do!
7
8. Mitigating the Adverse Impact of Technology Maturity
How do you perform a Technology Assessment (TA)?
• There are many ways to perform Technology Assessments.
• The ensuing material describes one method that is essentially
based on fundamental systems engineering principles.
8
9. Mitigating the Adverse Impact of Technology Maturity
What is Technology Assessment (TA)?
• It is a two-step process that involves:
– The determination of the Technology Readiness Levels (TRLs) (i.e.
current level of maturity).
– The determination of the Advancement Degree of Difficulty (AD2) (i.e.,
what is required to advance a technology from its current TRL to what is
required for infusion into the program/project at an acceptable level of
risk.)
9
10. Mitigating the Adverse Impact of Technology Maturity
What is a Technology Readiness Level (TRL)?
• At its most basic, the TRL is a description of the maturity of a given
technology defined by what has been done, under what conditions
at a given point in time.
• However, the TRL is just one part of the equation – and the initial
assessment establishes the baseline for the program/project.
• The more fundamental question is what is required (in terms of cost,
schedule and risk to move the technology from where it is to where it
needs to be.
10
11. Mitigating the Adverse Impact of Technology Maturity
What is an Advancement Degree of Difficulty (AD2)?
• AD2 is a method of dealing with the other aspects beyond TRL, it is
the description of what is required to move a technology from one
TRL to another.
• It takes into account:
– Design Readiness Level
– Manufacturing Readiness Level (MRL)
– Integration Readiness Level (IRL)
– Software Readiness Level (SRL)
– Operational Readiness Level
– Human Readiness Levels (HRL) (skills)
– Capability Readiness Levels (CRL) (people and tools)
– organizational aspects (ability of an organization to reproduce existing
technology)
– Etc.
11
12. Mitigating the Adverse Impact of Technology Maturity
Technology Assessment (TA)
• It is extremely important that a Technology Assessment process be
defined at the beginning of the program/project.
• It is also extremely important that it be performed at the earliest
possible stage (concept development) and repeated periodically
throughout the program/project through PDR.
• Inputs to the process will vary in level of detail according to the
phase of the program/project in which it is conducted.
12
13. Mitigating the Adverse Impact of Technology Maturity
Technology Assessment (TA)
• Even though there is a lack of detail in pre-phase A, the TA will drive
out the major critical technological advancements required.
• Therefore, at the beginning of pre-phase A, the following should be
provided:
– Refinement of Technology Readiness Level Definitions
– Definition of Advancement Degree of Difficulty Process
– Definition of terms to be used in the assessment process
– Establishment of meaningful evaluation criteria and metrics that will
allow for clear identification of gaps and shortfalls in performance.
– Establishment of the TA team
– Establishment of an independent TA review team.
13
14. Mitigating the Adverse Impact of Technology Maturity
Technology Assessment (TA)
• The complete TA should be repeated just prior to
SRR to:
– establish the baseline maturity of the design and
– To provide the material necessary to prepare the
Technology Development Plan
• A TRL assessment should be completed just prior to
PDR to provide the material necessary to prepare the
Technology Readiness Assessment Report
14
16. Mitigating the Adverse Impact of Technology Maturity
The Technology Assessment Process
Identify systems, subsystems Assign TRL to all Assign TRL to
and components per the components based subsystems based on
hierarchical product on assessment of lowest TRL of
breakdown of the WBS maturity components + TRL
state of integration
Assign TRL to
Identify all components, Systems based on
Baseline Technological subsystems and systems
Maturity Assessment lowest TRL of
that are at lower TRL’s than subsystems + TRL
required by the program state of integration
Perform AD2 on all identified
components, subsystems and
systemsthat are below
requisite maturity level.
Technology Development Plan
Cost Plan
Schedule Plan
Risk Assessment
16
17. Mitigating the Adverse Impact of Technology Maturity
Architectural Study & Technology Assessment Interaction
Requirements Concepts Architecture Studies System Design
TRL/AD2 Assessment
Technology Maturation
17
18. Mitigating the Adverse Impact of Technology Maturity
TRL Descriptions
System Test, Launch Actual system “flight proven” through successful
& Operations TRL 9
mission operations
TRL 8 Actual system completed and “flight qualified” through
System/Subsystem test and demonstration (Ground or Flight)
Development
TRL 7 System prototype demonstration in a space
environment
Technology
Demonstration TRL 6 System/subsystem model or prototype demonstration
in a relevant environment (Ground or Space)
TRL 5 Component and/or breadboard validation in relevant
Technology environment
Development
TRL 4 Component and/or breadboard validation in laboratory
environment
Research to Prove
Feasibility TRL 3 Analytical and experimental critical function and/or
characteristic proof-of-concept
Basic Technology TRL 2 Technology concept and/or application formulated
Research
TRL 1 Basic principles observed and reported
18
19. Mitigating the Adverse Impact of Technology Maturity
TRL Descriptions
Technology
Readiness Definition Hardware Description Software Description Exit Criteria
Level - (TRL)
Scientific knowledge
Scientific knowledge
generated underpinning basic Peer reviewed publication of
Basic principles observed generated underpinning
1 properties of software research underlying the
and reported hardware technology
architecture and proposed concept/application
concepts/applications.
mathematical formulation.
Invention begins, practical
Invention begins, practical application is identified but is
application is identified but is speculative, no experimental Documented description of
Technology concept or speculative, no experimental proof or detailed analysis is the application/concept that
2
application formulated proof or detailed analysis is available to support the addresses feasibility and
available to support the conjecture. Underlying benefit
conjecture. Algorithms are clarified and
documented.
Analytical studies place the
Development of limited
Analytical and/or technology in an appropriate Documented
functionality to validate critical
experimental critical context and laboratory analytical/experimental results
3 properties and predictions
function or characteristic demonstrations, modeling and validating predicitions of key
using non-integrated software
proof-of-concept simulation validate analytical parameters
components
prediction.
19
20. Mitigating the Adverse Impact of Technology Maturity
TRL Descriptions - continued
A low fidelity Key, functionally critical,
system/component software components are
breadboard is built and integrated, and functionally Documented test performance
Component or operated to demonstrate basic validated, to establish demonstrating agreement with
4 breadboard validation in functionality and critical test interoperability and begin analytical predictions.
laboratory environments and associated architecture development. Documented definition of
performance predicitions are Relevant Evironments relevant environment.
defined relative to the final defined and performance in
operating environment. this environment predicted.
A mid-level fidelity
End to End Software
system/component
elements implemented and
brassboard is built and
interfaced with existing
operated to demonstrate
systems conforming to target
overall performance in a Documented test performance
environment, including the
Component or simulated operational demonstrating agreement with
target o software
5 breadboard validation in environment with realistic analytical predictions.
environment. End to End
a relevant environment support elements that Documented definition of
Software System, Tested in
demonstrates overall scaling requirements
Relevant Environment, Meets
performance in critical areas.
Predicted Performance.
Performance predictions are
Operational Environment
made for subsequent
Performance Predicted.
development phases.
A high-fidelity
system/component prototype
Prototype software partially
System/subsystem that adequately addresses all
integrated with existing Documented test performance
model or prototype critical scaling issues is built
6 hardware/software sytems demonstrating agreement with
demonstration in a and operated in a relevant
and demonstrated on full- analytical predictions
relevant environment environment to demonstrate
scale realistic problems.
operations under critical
environmental conditions.
20
21. Mitigating the Adverse Impact of Technology Maturity
TRL Descriptions - continued
A high fidelity engineering unit
that adequately addresses all
critical scaling issues is built Prototype software is fully
and operated in a relevant integrated with operational Documented test performance
System prototype
7 environment to demonstrate harware/software sytems demonstrating agreement with
demonstration in space
performance in the actual demonstrating operational analytical predictions
operational environment and feasibility.
platform (ground, airborne or
space).
The final product in its final The final product in its final
configuration is successfully configuration is successfully
Actual system completed
demonstrated through test and [demonstrated] through test
and flight qualified Documented test performance
8 analysis for its intended and analysis for its intended
through test and verifying analytical predictions
operational environment and operational environment and
demonstration
platform (ground, airborne or platform (ground, airborne or
space). space).
Actual system flight
The final product is The final product is
proven through Documented mission
9 successfully operated in an successfully operated in an
successful mission operational results
actual mission. actual mission.
operations
21
22. Mitigating the Adverse Impact of Technology Maturity
Definitions
• Proof of Concept: (TRL 3)
Analytical and experimental demonstration of hardware/software concepts
that may or may not be incorporated into subsequent development and/or
operational units.
• Breadboard: (TRL 4)
A low fidelity unit that demonstrates function only, without respect to form or
fit in the case of hardware, or platform in the case of software. It often uses
commercial and/or ad hoc components and is not intended to provide
definitive information regarding operational performance.
• Developmental Model/ Developmental Test Model: (TRL 4)
Any of a series of units built to evaluate various aspects of form, fit, function
or any combination thereof. In general these units may have some high
fidelity aspects but overall will be in the breadboard category.
• Brassboard: (TRL 5 – TRL6)
A mid-fidelity functional unit that typically tries to make use of as much
operational hardware/software as possible and begins to address scaling
issues associated with the operational system. It does not have the
engineering pedigree in all aspects, but is structured to be able to operate in
simulated operational environments in order to assess performance of
critical functions. 22
23. Mitigating the Adverse Impact of Technology Maturity
Definitions - continued
• Mass Model: (TRL 5)
Nonfunctional hardware that demonstrates form and/or fit for use in
interface testing, handling, and modal anchoring.
• Subscale model: (TRL 5 – TRL7)
Hardware demonstrated in subscale to reduce cost and address critical
aspects of the final system. If done at a scale that is adequate to address
final system performance issue it may become the prototype.
• Proof Model: (TRL 6)
Hardware built for functional validation up to the breaking point, usually
associated with fluid system over pressure, vibration, force loads,
environmental extremes, and other mechanical stresses.
23
24. Mitigating the Adverse Impact of Technology Maturity
Definitions - continued
• Proto-type Unit: (TRL 6 – TRL 7)
The proto-type unit demonstrates form (shape and interfaces), fit (must be at
a scale to adequately address critical full size issues), and function (full
performance capability) of the final hardware. It can be considered as the first
Engineering Model. It does not have the engineering pedigree or data to
support its use in environments outside of a controlled laboratory environment
– except for instances where a specific environment is required to enable the
functional operation including in-space. It is to the maximum extent possible
identical to flight hardware/software and is built to test the manufacturing and
testing processes at a scale that is appropriate to address critical full scale
issues.
• Engineering Model: (TRL 6 – TRL 8)
A full scale high-fidelity unit that demonstrates critical aspects of the
engineering processes involved in the development of the operational unit. It
demonstrates function, form, fit or any combination thereof at a scale that is
deemed to be representative of the final product operating in its operational
environment. Engineering test units are intended to closely resemble the final
product (hardware/software) to the maximum extent possible and are built
and tested so as to establish confidence that the design will function in the
expected environments. In some cases, the engineering unit will become the
protoflight or final product, assuming proper traceability has been exercised
over the components and hardware handling.
24
25. Mitigating the Adverse Impact of Technology Maturity
Definitions - continued
• Flight Qualification Unit: (TRL 8)
Flight hardware that is tested to the levels that demonstrate the desired
margins, particularly for exposing fatigue stress., typically 20-30%.
Sometimes this means testing to failure. This unit is never flown. Key
overtest levels are usually +6db above maximum expected for 3 minutes in all
axes for shock, acoustic, and vibration; thermal vacuum 10C beyond
acceptance for 6 cycles, and 1.25 times static load for unmanned flight.
• Protoflight Unit: (TRL 8 – TRL 9)
Hardware built for the flight mission that includes the lessons learned from the
Engineering Model but where no Qualification model was built to reduce cost.
It is however tested to enhanced environmental acceptance levels. It
becomes the mission flight article. A higher risk tolerance is accepted as a
tradeoff. Key protoflight overtest levels are usually +3db for shock, vibration,
and acoustic; 5C beyond acceptance levels for thermal vacuum tests.
• Flight Qualified Unit: (TRL8 – TRL9)
Actual flight hardware/software that has been through acceptance testing.
Acceptance test levels are designed to demonstrate flight-worthiness, to
screen for infant failures without degrading performance. The levels are
typically less than anticipated levels.
25
26. Mitigating the Adverse Impact of Technology Maturity
Definitions - continued
• Flight Proven: (TRL 9)
Hardware/software that is identical to hardware/software that has been
successfully operated in a space mission and that is being used in an
identical architecture under identical operational environments.
26
27. Mitigating the Adverse Impact of Technology Maturity
Definitions - continued
• Laboratory Environment:
An environment that does not address in any manner the environment to be
encountered by the system, subsystem or component (hardware or software)
during its intended operation. Tests in a laboratory environment are solely for
the purpose of demonstrating the underlying principles of technical
performance (functions) without respect to the impact of environment.
• Relevant Environment:
Not all systems, subsystems and/or components need to be operated in the
operational environment in order to satisfactorily address performance margin
requirements. Consequently, the relevant environment is the specific subset
of the operational environment that is required to demonstrate critical “at risk”
aspects of the final product performance in an operational environment.
• Operational Environment:
The environment in which the final product will be operated. In the case of
spaceflight hardware/software it is space. In the case of ground based or
airborne systems that are not directed toward space flight it will be the
environments defined by the scope of operations. For software, the
environment will be defined by the operational platform and software
operating system.
27
28. Mitigating the Adverse Impact of Technology Maturity
Form Fit & Function Definitions
Flight Unit
Mass Model Proto-flight Unit
Form * ** Qualification Unit
Engineering Model
100%
*Prototype
*Brassboard
Fit
*Subscale
unitSu
Wind Tunnel
Model * * Breadboard Function
Proof of concept *
100%
28
29. Mitigating the Adverse Impact of Technology Maturity
TRL Assessment Thought Process
Has an identical unit been successfully operated/launched in identical YES TRL 9
configuration/environment?
NO
Has an identical unit been successfully operated in space or launch in a different YES TRL5
configuration/ system architecture? If so then this initially drops to TRL 5 until
?
differences are evaluated.
NO
Has an identical unit been flight qualified, but not yet operated in space or launch? YES TRL 8
NO
Has a prototype unit (or one similar enough to be considered a prototype) been YES
successfully operated in space or launch? TRL 7
NO
Has a prototype unit (or one similar enough to be considered a prototype) been YES
demonstrated in a relevant environment? TRL 6
NO
29
30. Mitigating the Adverse Impact of Technology Maturity
TRL Assessment Thought Process
Has a breadboard unit been demonstrated in a relevant environment? YES TRL 5
NO
Has a breadboard unit been demonstrated in a laboratory environment? YES TRL 4
NO
Has analytical and experimental proof-of-concept been demonstrated? YES TRL 3
NO
Has concept or application been formulated? YES TRL 2
NO
Have basic principles been observed and reported? YES TRL 1
NO
RETHINK YOUR POSITION REGARDING THIS TECHNOLOGY!
30
31. Mitigating the Adverse Impact of Technology Maturity
TRL Assessment Matrix
TRL Assessment
Demonstration Units Environment Unit Description
R Red = Below TRL 3
Y Yellow = TRL 3,4 & 5
Space/Launch Operation
Lab ora tory Env iron men t
G Green = TRL 6 and above
Relevant Environment
W White = Unknown
Space Environment
Developmental Model
X Exists
Appropriate Scale
Flig ht Qua lifie d
Overall TRL
Breadboard
Brassboard
Pro toty pe
Function
Concept
Form
Fit
1.0 System
1.1 Subsystem X
1.1.1 Mechanical Components
1.1.2 Mechanical Systems
1.1.3 Electrical Components X X X X X
1.1.4 Electrical Systems
1.1.5 Control Systems
1.1.6 Thermal Systems X X X
1.1.7 Fluid Systems X
1.1.8 Optical Systems
1.1.9 Electro-optical Systems
1.1.10 Software Systems
1.1.11 Mechanisms X
1.1.12 Integration
1.2 Subsystem Y
1.2.1 Mechanical Components
31
32. Mitigating the Adverse Impact of Technology Maturity
TRL Calcualtor
Main Menu TRL Calculator Release Notes
1
AFRL Hardware and Software Transition Readiness Level Calculator, Version 2.2
This worksheet summarizes the TRL Calculator results. It displays the TRL, MRL, and PRL computed elsewhere. You may select the technology types
and TRL categories (elements) you wish to include here or on the Calculator worksheet. Choose Hardware, Software, or Both to fit your program. If
you omit a category of readiness level, (TRL, MRL, or PRL) that calculation is removed from the summary. The box in front of each readiness level
element is checked when that category is included in the summary.
You can enter program identification information here, too.
TRL documentation including discussions of TRL, MRL, and PRL is available
from the Main Menu.
Include Hardware Only
Include Software Only
X Include Hardware and Software
X Use
Omit
Technology Readiness Level
X Use
Omit
Manufacturing Readiness Level
X Use
Omit
Programmatic Readiness Level
Here you can change the default values the spreadsheet uses to determine which color to award
Green / Yellow set points: at a given level of question completion. System defaults are 100% for Green, and 67%
for Yellow. You can change these set points to any value above 75% for Green, and any value from 50% to 85% for Yellow; however, the Yellow
set point will always be at least 15% below the Green set point. Use the spinners to set your desired values. The defaults kick in if you try to set
a value less than the minimum values of 75% for Green and 50% for Yellow. Start with the "Up" arrow to change defaults.
Green set point is now at: 100% Yellow set point is now at: 67%
32
33. Mitigating the Adverse Impact of Technology Maturity
TRL Calculator Example
WS
B Elem N e
ent am AssessedArea TR Score
L M LScore
R
a) Prim Structure
ary 5 6 7 5
b) Secondary Structure 5 6 7 5 6
136905.08.05.03 Structure &Thermal
c) Flight Separation System 5 6, 7 8 5 7
d) TPS 5 6, 7 8 6 7
a) D &Lines
ucts 5 6 7 5 6
136905.08.05.04 M Propulsion System
ain
b) Valves &Actuators 5 6 7 5 6
136905.08.05.05 U R
S eaction C ontrol System 5 6, 7 8 5 7
136905.08.05.06 1st Stage Reaction C ontrol System 5 6, 7 8 5 7
a) Actuators 5 6 7 5 6
136905.08.05.07 Thrust Vector Control
b) H ydraulic Pow System
er s 4 5, 6 7 5 6
136905.08.05.08 Avionics a) C H
&D 4 5, 6 7 5 6
b) G CH are
N ardw 5 6 7 6
c) Electrical Power 6 7 6 7
d) Sensors 6 7 6 7
136905.08.05.09 Flight Softw System
are 4 5 6 4 5
136905.08.05.10 C ponent Integration &Test
om N Applicable
ot
136905.08.05.11 Logistics Support Infrastructure GSE 6 7 8 6 7
136905.08.05.12 M anufacturingandAssem bly Tooling 5 6, 7 8 6 7
33
34. Mitigating the Adverse Impact of Technology Maturity
TRL Revised Questions
1 Critical functions and associated subsystems and components identified?
2 Relevant environments finalized?
3 Scaling requirements defined & documented?
4 Critical subsystems and components breadboards/brassboards identified and designed?
TRL 5
5 Subsystem/component breadboards/brassboards built?
6 Facilities, GSE, STE available to support testing in a relevant environment?
7 M&S performance predictions completed?
8 System level performance predictions made for subsequent development phases?
9 Breadboards/brassboards successfully demonstrated in a relevant environment?
10 Successful demonstration documented along with scaling requirements?
1 System requirements finalized?
2 Operating environment definition finalized?
Subset of relevant environments identified that address key aspects of the final operating
3 environment?
4 M&S used to simulate system performance in an operational environment?
M&S used to simulate system/subsystem engineering model/protype performance in the
5 relevant environment?
TRL 6
6 External interfaces baselined?
7 Scaling requirements finalized?
Facilities, GSE, STE available to support system/subsystem engineering model/prototype
8 testing in the relevant environment?
9 System/subsystem engineering model/prototype that adequately addresses critical scaling
System/subsystem engineering model/prototype that adequately addresses critical scaling
10 issues tested in the relevant environment?
11 Analysis of test results verify performance predictions for relevant environment?
12 Test performance demonstrating agreement with performance predictions documented?
34
35. Mitigating the Adverse Impact of Technology Maturity
Advancement Degree of Difficulty AD2
Degree of Difficulty Description
0% Development Risk - Exists with no or only minor
9 modifications being required. A single development
approach is adequate.
10% Development Risk - Exists but requires major
8 modifications. A single development approach is
adequate.
20% Development Risk - Requires new development well
7 within the experience base. A single development
approach is adequate.
30% Development Risk - Requires new development but
similarity to existing experience is sufficient to warrant
6 comparison across the board. A single development
approach can be taken with a high degree of confidence
for success.
40% Development Risk - Requires new development but
similarity to existing experience is sufficient to warrant
5 comparison in all critical areas. Dual development
approaches should be pursued to provide a high degree
of confidence for success.
35
36. Mitigating the Adverse Impact of Technology Maturity
Advancement Degree of Difficulty AD2 - continued
50% Development Risk - Requires new development but
similarity to existing experience is sufficient to warrant
comparison in only a subset of critical areas. Dual
4 development approaches should be pursued in order to
achieve a moderate degree of confidence for success.
(Desired performance can be achieved in subsequent block
upgrades with high degree of confidence.)
60% Development Risk - Requires new development but
similarity to existing experience is sufficient to warrant
3
comparison in only a subset of critical areas. Multiple
development routes must be pursued.
80% Development Risk - Requires new development where
similarity to existing experience base can be defined only in
2
the broadest sense. Multiple development routes must be
pursued.
100% Development Risk - Requires new development
outside of any existing experience base. No viable
1 approaches exist that can be pursued with any degree of
confidence. Basic research in key areas needed before
feasible approaches can be defined.
36
37. Mitigating the Adverse Impact of Technology Maturity
Design and Analysis
• Do the necessary data bases exist and if not, what level of development is
required to produce them?
• Do the necessary design methods exist and if not, what level of development is
required to produce them?
• Do the necessary design tools exist and if not, what level of development is
required to produce them?
• Do the necessary analytical methods exist and if not, what level of development
is required to produce them?
• Do the necessary analysis tools exist and if not, what level of development is
required to produce them?
• Do the appropriate models with sufficient accuracy exist and if not, what level of
development is required to produce them?
• Do the available personnel have the appropriate skills and if not, what level of
development is required to acquire them?
• Has the design been optimized for manufacturability and if not, what level of
development is required to optimize it?
• Has the design been optimized for testability and if not, what level of
development is required to optimize it?
37
38. Mitigating the Adverse Impact of Technology Maturity
Manufacturing
• Do the necessary materials exist and if not, what level of development is
required to produce them?
• Do the necessary manufacturing facilities exist and if not, what level of
development is required to produce them?
• Do the necessary manufacturing machines exist and if not, what level of
development is required to produce them?
• Does the necessary manufacturing tooling exist and if not, what level of
development is required to produce it?
• Does the necessary metrology exist and if not, what level of development is
required to produce it?
• Does the necessary manufacturing software exist and if not, what level of
development is required to produce it?
• Do the available personnel have the appropriate skills and if not, what level of
development is required to acquire them?
• Has the design been optimized for manufacturability and if not, what level of
development is required to optimize it?
• Has the manufacturing process flow been optimized and if not, what level of
development is required to optimize it?
• Has the manufacturing process variability been minimized and if not, what level
of development is required to optimize it?
38
39. Mitigating the Adverse Impact of Technology Maturity
Manufacturing – continued
• Has the design been optimized for reproducibility and if not, what level of
development is required to optimize it?
• Has the design been optimized for assembly & alignment and if not, what level
of development is required to optimize it?
• Has the design been optimized for integration at the component, subsystem
and system level and if not, what level of development is required to optimize
it?
• Are breadboards required and if so what level of development is required to
produce them?
• Are brassboards required and if so what level of development is required to
produce them?
• Are subscale models required and if so what level of development is required
to produce them?
• Are engineering models required and if so what level of development is
required to produce them?
• Are prototypes required and if so what level of development is required to
produce them?
• Are breadboards, brassboards, engineering models and prototypes at the
appropriate scale and fidelity for what they are to demonstrate, and if not what
level of development is required to modify them accordingly?
• Are Qualification models required and if so what level of development is
required to produce them?
39
40. Mitigating the Adverse Impact of Technology Maturity
Operations
• Has the design been optimized for maintainability and servicing and if not,
what level of development is required to optimize it?
• Has the design been optimized for minimum life cycle cost and if not, what
level of development is required to optimize it?
• Has the design been optimized for minimum annual recurring / operational cost
and if not, what level of development is required to optimize it?
• Has the design been optimized for reliability and if not, what level of
development is required to optimize it?
• Has the design been optimized for availability {ratio of operating time
(reliability) to downtime (maintainability/ supportability)} and if not, what level
of development is required to optimize it?
• Do the necessary ground systems facilities & infrastructure exist and if not,
what level of development is required to produce them?
• Does the necessary ground systems equipment exist and if not, what level of
development is required to produce it?
• Does the necessary ground systems software exist and if not, what level of
development is required to produce it?
• Do the available personnel have the appropriate skills and if not, what level of
development is required to acquire them?
40
41. Mitigating the Adverse Impact of Technology Maturity
Test & Evaluation
• Do the necessary test facilities exist and if not, what level of development is
required to produce them?
• Does the necessary test equipment exist and if not, what level of development
is required to produce them?
• Does the necessary test tooling exist and if not, what level of development is
required to produce it?
• Do the necessary test measurement systems exist and if not, what level of
development is required to produce them?
• Does the necessary software exist and if not, what level of development is
required to produce it?
• Do the available personnel have the appropriate skills and if not, what level of
development is required to acquire them?
• Has the design been optimized for testability and if not, what level of
development is required to optimize it?
• Are breadboards required to be tested and if so what level of development is
required to test them?
• Are brassboards required to be tested and if so what level of development is
required to test them?
41
42. Mitigating the Adverse Impact of Technology Maturity
Test & Evaluation – continued
• Are subscale models required to be tested and if so what level of development
is required to test them?
• Are engineering models required to be tested and if so what level of
development is required to test them?
• Are prototypes required to be tested and if so what level of development is
required to test them?
• Are Qualification models required to be tested and if so what level of
development is required to test them?
42
43. Mitigating the Adverse Impact of Technology Maturity
AD2 Automated Format
2/7/07 11:45 AM 12/3/2006
Advancement Degree of Difficulty - Questions
Title:
Evaluator:
WBS Product Hierarchy Name WBS#, use multiple decimal points
System
Subsystem
Component
Only Answer Those Questions That Apply
Technical Deg
Schedule Cost Of Difficulty Design and Analysis Comments (42 character limit)
Do the necessary data bases exist and if not, what level of
4 development is required to produce them?
Do the necessary design methods exist and if not, what
level of development is required to produce them?
Do the necessary design tools exist and if not, what level of
development is required to produce them?
Do the necessary analytical methods exist and if not, what
level of development is required to produce them?
Do the necessary analysis tools exist and if not, what level
of development is required to produce them?
Do the appropriate models with sufficient accuracy exist and
if not, what level of development is required to produce
them?
Do the available personnel have the appropriate skills and if
not, what level of development is required to acquire them?
Has the design been optimized for manufacturability and if
not, what level of development is required to optimize it?
Has the design been optimized for testability and if not,
what level of development is required to optimize it?
43
45. Mitigating the Adverse Impact of Technology Maturity
Summary
• The TRL assessment provides the baseline maturity at the start of a
program/project and is the basis for the preparation of the
Technology Readiness Assessment Report.
• The AD2 assessment provides the basis for the development of the
Technology Development Plan.
• It also can provide considerable detail for more accurate
determination of program cost and schedule.
– The identification of data bases, tools, processes, facilities tests, scale
model development and integration issues in particular will assist in
developing realistic cost plans.
– The identification of requirements for engineering model development
and subsequent tests will be of particular benefit in outlining realistic
schedules.
• Both processes can significantly contribute to ensuring
program/project success.
45
46. Mitigating the Adverse Impact of Technology Maturity
Bibliography:
• Schinasi, Katherine, V., Sullivan, Michael, “Findings and Recommendations
on Incorporating New Technology into Acquisition Programs,” Technology
Readiness and Development Seminar, Space System Engineering and
Acquisition Excellence Forum, The Aerospace Corporation, April 28, 2005.
• “Better Management of Technology Development Can Improve Weapon
System Outcomes,” GAO Report, GAO/NSIAD-99-162, July 1999.
• “Using a Knowledge-Based Approach to Improve Weapon Acquisition,”
GAO Report, GAO-04-386SP. January 2004.
• “Capturing Design and Manufacturing Knowledge Early Improves
Acquisition Outcomes,” GAO Report, GAO-02-701, July 2002.
• Wheaton, Marilee, Valerdi, Ricardo, “EIA/ANSI 632 as a Standardized WBS
for COSYSMO,” 2005 NASA Cost Analysis Symposium, April 13, 2005.
46
47. Mitigating the Adverse Impact of Technology Maturity
Bibliography - continued:
• Sadin, Stanley T.; Povinelli, Frederick P.; Rosen, Robert, “NASA technology
push towards future space mission systems,” Space and Humanity
Conference Bangalore, India, Selected Proceedings of the 39th
International Astronautical Federation Congress, Acta Astronautica, pp 73-
77, V 20, 1989
• Mankins, John C. “Technology Readiness Levels” a White Paper, April 6,
1995.
• Nolte, William, “Technology Readiness Level Calculator, “Technology
Readiness and Development Seminar, Space System Engineering and
Acquisition Excellence Forum, The Aerospace Corporation, April 28, 2005.
• TRL Calculator is available at the Defense Acquisition University Website at
the following URL: https://acc.dau.mil/communitybrowser.aspx?id=25811
47
48. Mitigating the Adverse Impact of Technology Maturity
Bibliography - continued:
• Manufacturing Readiness Level description is found at the Defense
Acquisition University Website at the following URL:
https://acc.dau.mil/CommunityBrowser.aspx?id=18231
• Mankins, John C. , “Research & Development Degree of Difficulty (RD3)” A
White Paper, March 10, 1998.
• Sauser, Brian J., “Determining system Interoperability using an Integration
Readiness Level”, Proceedings, NDIA Conference Proceedings.
• Sauser, Brian, Ramirez-Marquez, Jose, Verma, Dinesh, Gove, Ryan, “
From TRL to SRL: The Concept of Systems Readiness Levels, Paper #126,
Conference on Systems Engineering Proceedings.
• Additional material of interest
• De Meyer, Arnould, Loch, Christoph H., and Pich Michael T., “Managing
Project Uncertainty: From Variation to Chaos,” MIT Sloan Management
Review, pp. 60-67, Winter 2002.
48