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INCOSE CAB BriefingNovember 2002
USC
C S E University of Southern CaliforniaCenter for Software Engineering
COSYSMOCOnstructive SYStems Engineering Cost MOdel
November 1, 2002
Dr. Barry BoehmRicardo Valerdi
University of Southern CaliforniaCenter for Software Engineering (CSE)
INCOSE CAB Briefing
INCOSE CAB BriefingNovember 2002
USC
C S E University of Southern CaliforniaCenter for Software Engineering
Outline• Background on CSE, COSYSMO, and COCOMO II• COSYSMO Overview
– Operational concept and scope– Prototype demo
• Model Progress to Date– Front end sizing and drivers – Full life cycle sizing and drivers
• Calendar of activities/milestones• Action items• How can the CAB help?
INCOSE CAB BriefingNovember 2002
USC
C S E University of Southern CaliforniaCenter for Software Engineering
USC Center for Software Engineering (CSE)• Researches, teaches, and practices CMMI-based
Software engineering – Systems and software engineering fully integrated
• Focuses on better models to guide integrated systems and software engineering – Success models: stakeholder win-win, business
cases – Product models: requirements, architectures, COTS– Process models: spiral extensions, value-based RUP
extensions – Property models: cost, schedule, quality
• Applies and extends research on major programs (DARPA/Army, FCS, FAA ERAM, NASA Missions)
INCOSE CAB BriefingNovember 2002
USC
C S E University of Southern CaliforniaCenter for Software Engineering
• Commercial Industry (15)
– Daimler Chrysler, Freshwater Partners, Galorath, Group Systems.Com, Hughes, IBM, Cost Xpert Group, Microsoft, Motorola, Price Systems, Rational, Reuters Consulting, Sun, Telcordia, Xerox
• Aerospace Industry (6)
– Boeing, Lockheed Martin, Northrop Grumman, Raytheon, SAIC, TRW
• Government (8)
– DARPA, DISA, FAA, NASA-Ames, NSF, OSD/ARA/SIS, US Army Research Labs, US Army TACOM
• FFRDC’s and Consortia (4)
– Aerospace, JPL, SEI, SPC
• International (1)
– Chung-Ang U. (Korea)
USC-CSE Affiliates (34)
INCOSE CAB BriefingNovember 2002
USC
C S E University of Southern CaliforniaCenter for Software Engineering
USC-CSE Cost, Schedule, and Quality Models
• Build on experience with COCOMO 1981, COCOMO II – Most widely used software cost models worldwide– Developed with Affiliate funding, expertise, data support
• Collaborative efforts between Computer Science (CS) and Industrial Systems Engineering (ISE) Depts.– 3 CS PhD’s, 2 ISE PhD’s to date– Valerdi an ISE PhD student– Boehm joint appointment in CS, ISE
• COCOMO Suite of models– Cost, schedule: COCOMO II, CORADMO, COCOTS– Quality: COQUALMO– Systems Engineering: COSYSMO
• Uses mature 7-step model development methodology
INCOSE CAB BriefingNovember 2002
USC
C S E University of Southern CaliforniaCenter for Software Engineering
7-step Modeling MethodologyAnalyze Existingliterature
1
2
3
4
5
6
7
PerformBehavioral Analysis
Identify RelativeSignificance
Perform Expert-Judgement, DelphiAssessment
Gather Project Data
Determine BayesianA-Posteriori Update
Gather more data;refine model
A-PRIORI MODEL +
SAMPLING DATA =
A-POSTERIORI MODEL
INCOSE CAB BriefingNovember 2002
USC
C S E University of Southern CaliforniaCenter for Software Engineering
COSYSMO: Overview• Parametric model to estimate system
engineering costs• Covers full system engineering lifecycle• Focused on use for Investment Analysis,
Concept Definition phases estimation and tradeoff analyses– Input parameters can be determined in
early phases
INCOSE CAB BriefingNovember 2002
USC
C S E University of Southern CaliforniaCenter for Software Engineering
Key Members of the COSYSMO Working Group
Karen Owens, Marilee WheatonEvin StumpGarry Roedler, Gary HafenGary Thomas, John RieffTony Jordano, Don GreenleeChris MillerMarilee WheatonCheryl JonesBarry Boehm, Elliot Axelband,
Don Reifer, Ricardo Valerdi
Aerospace Corp.Galorath
LMCORaytheon
SAICSPCTRW
US Army/PSSMUSC
INCOSE CAB BriefingNovember 2002
USC
C S E University of Southern CaliforniaCenter for Software Engineering
COSYSMO
SizeDrivers
EffortMultipliers
Effort
Duration
Calibration
# Requirements# Interfaces# Scenarios# Algorithms
+Volatility Factor
- Application factors-5 factors
- Team factors-7 factors
- Schedule driverWBS guided by EIA/ANSI 632 & ISO/IEC 15288
COSYSMO Operational Concept
INCOSE CAB BriefingNovember 2002
USC
C S E University of Southern CaliforniaCenter for Software Engineering
Previous COSYSMO Evolution Path
Inception Elaboration Construction TransitionOper Test & Eval
1. COSYSMO-IP
2. COSYSMO-C4ISR
3. COSYSMO-Machine
4. COSYSMO-SoS
IP (Sub)system
C4ISR System
Physical MachineSystem
System of Systems (SoS)
INCOSE CAB BriefingNovember 2002
USC
C S E University of Southern CaliforniaCenter for Software Engineering
Revised View of COSYSMO Evolution Path(Results from last week’s meeting)
Oper Test & Eval
1. COSYSMO-IP
2. COSYSMO-C4ISR
3. COSYSMO-Machine
4. COSYSMO-SoS
Global Command and Control System
Satellite Ground Station
Joint Strike Fighter
Future Combat Systems
Initiate data collection for all and let the amount of data received determine what is included.
Include ISO/IEC 15288 Stages
DevelopConceptualizeTransition to Operation
Operate, Maintain, or Enhance
Replace or Dismantle
INCOSE CAB BriefingNovember 2002
USC
C S E University of Southern CaliforniaCenter for Software Engineering
EIA/ANSI 632
EIA/ANSI 632 - Provide an integrated set of fundamental processes to aid a developer in the engineering or re-engineering of a system
Breadth and Depth of Key SE StandardsSystem life
ISO/IEC 15288
Level of
deta
il
Conceptualize DevelopTransition to
Operation
Operate,Maintain,
or EnhanceReplace
or Dismantle
Processdescription
High levelpractices
Detailedpractices
ISO/IEC 15288 - Establish a common framework for describing the life cycle of systems
Purpose of the Standards:Purpose of the Standards:
IEEE 1
220
IEEE 1220 - Provide a standard for managing systems engineering
Input to 632/1220
Source : Draft Report ISO Study Group May 2, 2000
INCOSE CAB BriefingNovember 2002
USC
C S E University of Southern CaliforniaCenter for Software Engineering
ISO/IEC 15288 Key Terms• System
– a combination of interacting elements organized to achieve one or more stated purposes
• System-of-Interest– the system whose life cycle is under consideration in the context of this
International Standard
• System Element– a member of a set of elements that constitutes a system
– NOTE: A system element is a discrete part of a system that can be implemented to fulfill specified requirements
• Enabling System– a system that complements a system-of-interest during its life cycle
stages but does not necessarily contribute directly to its function during operation
– NOTE: For example, when a system-of-interest enters the production stage, an enabling production system is required
Source: ISO/IEC 15288.Source: ISO/IEC 15288.
INCOSE CAB BriefingNovember 2002
USC
C S E University of Southern CaliforniaCenter for Software Engineering
Systemelement
System-of-interest
Systemelement
Systemelement
SystemelementSystem
Systemelement
Systemelement
Systemelement
System
Systemelement
Systemelement
Systemelement
System
Systemelement
Systemelement
SystemelementSystem
Systemelement
Systemelement
System
Systemelement
Systemelement
System
Systemelement
Systemelement System
Systemelement
Systemelement
Systemelement
ISO/IEC 15288 System of Interest Structure
Make orbuy
Source: ISO/IEC 15288.Source: ISO/IEC 15288.
INCOSE CAB BriefingNovember 2002
USC
C S E University of Southern CaliforniaCenter for Software Engineering
Raytheon myCOSYSMO* Demo
*Developed by Gary Thomas
at Raytheon Garland
INCOSE CAB BriefingNovember 2002
USC
C S E University of Southern CaliforniaCenter for Software Engineering
Outline• Background on CSE, COSYSMO, and
COCOMO II• COSYSMO Overview
– Operational concept and scope– Prototype demo
• Model Progress to Date– Front end sizing and drivers – Full life cycle sizing and drivers
• Calendar of activities/milestones• Action items• How can the CAB help?
INCOSE CAB BriefingNovember 2002
USC
C S E University of Southern CaliforniaCenter for Software Engineering
4 Size Drivers1. Number of System Requirements
2. Number of Major Interfaces
3. Number of Operational Scenarios
4. Number of Unique Algorithms
• Each weighted by complexity, volatility, and degree of reuse
INCOSE CAB BriefingNovember 2002
USC
C S E University of Southern CaliforniaCenter for Software Engineering
Size Driver Definitions (1 of 4)
Number of System RequirementsThe number of requirements taken from the system
specification. A requirement is a statement of capability or
attribute containing a normative verb such as shall or will. It
may be functional or system service-oriented in nature
depending on the methodology used for specification. System
requirements can typically be quantified by counting the
number of applicable shall’s or will’s in the system or
marketing specification.
Note 1: Use this driver as the basis of comparison for the rest of the drivers.
Note 2: Use equivalent size weighted by complexity, volatility, and degree of reuse.
INCOSE CAB BriefingNovember 2002
USC
C S E University of Southern CaliforniaCenter for Software Engineering
Size Driver Definitions (2 of 4)Number of Major InterfacesThe number of shared major physical and logical
boundaries between system components or functions
(internal interfaces) and those external to the system
(external interfaces). These interfaces typically can be
quantified by counting the number of interfaces
identified in either the system’s context diagram and/or by counting
the significant interfaces in applicable Interface Control
Documents.
INCOSE CAB BriefingNovember 2002
USC
C S E University of Southern CaliforniaCenter for Software Engineering
Size Driver Definitions (3 of 4)Number of Operational Scenarios*The number of operational scenarios** that a system is specified tosatisfy. Such threads typically result in end-to-end test scenariosthat are developed to validate the system satisfies its requirements.The number of scenarios can typically be quantified by countingthe number of end-to-end tests used to validate the systemfunctionality and performance. They can also be calculated bycounting the number of high-level use cases developed as part ofthe operational architecture.Number of Modes of Operation (to be merged with Op
Scen)The number of defined modes of operation for a system. For example, in a radar system, the operational modes could be air-to-air, air-to-ground, weather, targeting, etc. The number of modes is quantified by counting the number of operational modes specified in the Operational Requirements Document.
*counting rules need to be refined **Op Scen can be derived from system modes
INCOSE CAB BriefingNovember 2002
USC
C S E University of Southern CaliforniaCenter for Software Engineering
Size Driver Definitions (4 of 4)Number of Unique AlgorithmsThe number of newly defined or significantly altered functions thatrequire unique mathematical algorithms to be derived in order toachieve the system performance requirements.
Note: Examples could include a complex aircrafttracking algorithm like a Kalman Filter being derived using existingexperience as the basis for the all aspect search function. AnotherExample could be a brand new discrimination algorithm beingderived to identify friend or foe function in space-basedapplications. The number can be quantified by counting the
numberof unique algorithms needed to support each of the mathematicalfunctions specified in the system specification or mode descriptiondocument (for sensor-based systems).
INCOSE CAB BriefingNovember 2002
USC
C S E University of Southern CaliforniaCenter for Software Engineering
12 Cost Drivers
1. Requirements understanding
2. Architecture complexity
3. Level of service requirements
4. Migration complexity
5. Technology Maturity
Application Factors (5)
INCOSE CAB BriefingNovember 2002
USC
C S E University of Southern CaliforniaCenter for Software Engineering
Cost Driver Definitions (1,2 of 5)Requirements understanding The level of understanding of the system requirements
by all stakeholders including the systems, software, hardware,
customers, team members, users, etc…
Architecture complexity The relative difficulty of determining and managing the
system architecture in terms of IP platforms, standards,
components (COTS/GOTS/NDI/new), connectors
(protocols), and constraints. This includes systems analysis,
tradeoff analysis, modeling, simulation, case studies, etc…
INCOSE CAB BriefingNovember 2002
USC
C S E University of Southern CaliforniaCenter for Software Engineering
Cost Driver Definitions (3,4,5 of 5)
Migration complexity (formerly Legacy transition complexity)
The complexity of migrating the system from previous system
components, databases, workflows, etc, due to new technology
introductions, planned upgrades, increased performance, business
process reengineering etc…
Level of service requirementsThe difficulty and criticality of satisfying the Key Performance Parameters (KPP). For example: security, safety, response time, the “illities”, etc…
Technology MaturityThe relative readiness for operational use of the key
technologies.
INCOSE CAB BriefingNovember 2002
USC
C S E University of Southern CaliforniaCenter for Software Engineering
12 Cost Drivers (cont.)
1. Stakeholder team cohesion
2. Personnel capability
3. Personal experience/continuity
4. Process maturity
5. Multisite coordination
6. Formality of deliverables
7. Tool support
Team Factors (7)
INCOSE CAB BriefingNovember 2002
USC
C S E University of Southern CaliforniaCenter for Software Engineering
Cost Driver Definitions (1,2,3 of 7)Stakeholder team cohesion Leadership, frequency of meetings, shared vision, approval cycles,
group dynamics (self-directed teams, project engineers/managers),
IPT framework, and effective team dynamics.
Personnel capability Systems Engineering’s ability to perform in their duties and thequality of human capital.
Personnel experience/continuity The applicability and consistency of the staff over the life of the
project with respect to the customer, user, technology, domain,
etc…
INCOSE CAB BriefingNovember 2002
USC
C S E University of Southern CaliforniaCenter for Software Engineering
Cost Driver Definitions (4,5,6,7 of 7)Process maturity Maturity per EIA/IS 731, SE CMM or CMMI.
Multisite coordination Location of stakeholders, team members, resources (travel).
Formality of deliverables The breadth and depth of documentation required to be formally
delivered.
Tool support Use of tools in the System Engineering environment.
INCOSE CAB BriefingNovember 2002
USC
C S E University of Southern CaliforniaCenter for Software Engineering
Mapping of Old to New COSYSMO-IP Drivers
Number of System Requirements Number of Major InterfacesNumber of Technical Performance
MeasuresNumber of Operational ScenariosNumber of Modes of OperationNumber of Different PlatformsNumber of Unique Algorithms
Old (7) New (4)
Number of System Requirements Number of Major Interfaces
Number of Operational Scenarios
Number of Unique Algorithms
Siz
e F
acto
rs
Level of Service Requirements
Architecture complexity
INCOSE CAB BriefingNovember 2002
USC
C S E University of Southern CaliforniaCenter for Software Engineering
Delphi Round 1 HighlightsRange of sensitivity for Size Drivers
# A
lgo
rith
ms
# R
eq
uir
emen
ts
# In
terf
aces
# T
PM
’s
# S
cen
ario
s
# M
od
es
# P
latf
orm
s
5.57
Relative
Effort
1
2.232.54
2.212.10
6.48
6
4
2
INCOSE CAB BriefingNovember 2002
USC
C S E University of Southern CaliforniaCenter for Software Engineering
Requirements understanding Architecture complexity Level of service requirementsLegacy Transition complexity COTS assessment complexity Platform difficulty Required business process
reengineering Technology Maturity Physical system/information subsystem tradeoff analysis complexity
Requirements understanding Architecture complexity Level of service requirementsMigration complexity
Technology Maturity
Ap
pli
cati
on
Co
st F
acto
rs
Mapping of Old to New COSYSMO-IP Drivers
# of TPMs # of Platforms
Old (9) New (5)
INCOSE CAB BriefingNovember 2002
USC
C S E University of Southern CaliforniaCenter for Software Engineering
Delphi Round 1 Highlights (cont.)
Range of sensitivity for Cost Drivers (Application Factors)
EMR
1.93
2.812.13
2.432.24
4
2
Req
uir
em
ents
un
d.
Arc
hit
ectu
re u
nd
.
Lev
el o
f se
rvic
e re
qs.
Leg
acy
tra
nsi
tio
n
CO
TS
Pla
tfo
rm d
iffi
cult
y
Bu
s. p
roce
ss r
een
g.
1.741.13
INCOSE CAB BriefingNovember 2002
USC
C S E University of Southern CaliforniaCenter for Software Engineering
Number and diversity of stakeholder communities Stakeholder team cohesion Personnel capability Personnel experience/continuity Process maturity Multisite coordination Formality of deliverables Tool support
Old (8) New (7)
Stakeholder team cohesion Personnel capability Personal experience/continuity Process maturity Multisite coordination Formality of deliverables Tool support
Reqs Und
Mapping of Old to New COSYSMO-IP Drivers
Tea
m C
ost
Fac
tors
INCOSE CAB BriefingNovember 2002
USC
C S E University of Southern CaliforniaCenter for Software Engineering
Delphi Round 1 Highlights (cont.)Range of sensitivity for Cost Drivers (Team Factors)
1.28
2.461.91 2.161.94
1.25
To
ol
sup
po
rt
Sta
keh
old
er c
om
m.
Sta
keh
old
er c
oh
esio
n
Per
son
nel
cap
ab
ilit
y
Per
son
al
exp
erie
nce
Pro
cess
mat
uri
ty
Mu
ltis
ite
coo
rd.
Fo
rmal
ity
of
del
iv.
1.841.78
EMR4
2
INCOSE CAB BriefingNovember 2002
USC
C S E University of Southern CaliforniaCenter for Software Engineering
Outline• Background on CSE, COSYSMO, and
COCOMO II• COSYSMO Overview
– Operational concept and scope– Prototype demo
• Model Progress to Date– Front end sizing and drivers – Full life cycle sizing and drivers
• Calendar of activities/milestones• Action items• How can the CAB help?
INCOSE CAB BriefingNovember 2002
USC
C S E University of Southern CaliforniaCenter for Software Engineering
INCOSE Issues and AnswersIssue
Application scope
Life Cycle scope
Too many size drivers
Conflicting cost drivers
Overlap between COSYSMO and CII
AnswerFramework covers all
systems; initial model scope TBD by data
Full 15288 lifecycle
Reduced from 7 to 4
Reduced from 17 to 12
Candidate starting point identified
INCOSE CAB BriefingNovember 2002
USC
C S E University of Southern CaliforniaCenter for Software Engineering
COSYSMO/COCOMO II MappingPrevious candidate starting point
Development EIA Stage Inception
Elaboration
Construction
Transition Management
14
12
10
14 Environment/CM
10
8
5
5 Requirements
38
18
8
4 Design
19
36
16
4 Implementation
8
13
34
19 Assessment
8
10
24
24 Deployment
3
3
3
30 TBD TBD TBD
= COCOMOII = COSYSMO-IP
When doingCOSYSMO-IP andCOCOMOII, Subtract grey areasprevent doublecounting.
TBD
INCOSE CAB BriefingNovember 2002
USC
C S E University of Southern CaliforniaCenter for Software Engineering
632 - 20(Implement-
ation)632 - 21
(Transition)632 - 31
(Verification)632 - 32
(Readiness)632 - 33b
(Validation)15288
(Operations)
15288 (Maintenance or Support)
15288 (Retirement)
# System Requirements x x x x x# Major Interfaces x x x x x# Unique Algorithms x x x x# Operational Scenarios x x x x x x# Recursive Levels in the Design x x x x # Systems being Phased Out (Covered by Migration Complexity?) x x x# Operators / Maintainers x x# Training Courses x# Installations
# System Elements
# Length of Lifecycle
Size Drivers vs. EIA/ANSI 632 & ISO/IEC 15288 Stages Late in the Life Cycle
LegendBold = existing driverItalics = proposed addition
INCOSE CAB BriefingNovember 2002
USC
C S E University of Southern CaliforniaCenter for Software Engineering
Application factors
632 - 20(Implement-
ation)632 - 21
(Transition)632 - 31
(Verification)632 - 32
(Readiness)632 - 33b
(Validation)15288
(Operations)
15288 (Maintenance or Support)
15288 (Retirement)
–Requirements understanding x x x x x–Architecture complexity x x x x x x x–Level of service requirements, criticality, difficulty x x x x x–Migration complexity x x–Technology risk (maturity & obsolescence) x x- Operational Complexity x
Cost Drivers vs. EIA/ANSI 632 & ISO/IEC 15288 Stages Late in the Life Cycle
LegendBold = existing driverItalics = proposed addition
INCOSE CAB BriefingNovember 2002
USC
C S E University of Southern CaliforniaCenter for Software Engineering
Team factors
632 - 20(Implement-
ation)632 - 21
(Transition)632 - 31
(Verification)632 - 32
(Readiness)632 - 33b
(Validation)15288
(Operations)
15288 (Maintenance or Support)
15288 (Retirement)
–Stakeholder team cohesion x x–Personnel capability x x x x x x x x
–Personnel experience/continuity x x x x x x x x–Process maturity x x x x x–Multi-site coordination x x x x x x x x–Formality of deliverables x x x x x x–Tool support x x
Cost Drivers vs. EIA/ANSI 632 & ISO/IEC 15288 Stages Late in the Life Cycle
LegendBold = existing driverItalics = proposed addition
INCOSE CAB BriefingNovember 2002
USC
C S E University of Southern CaliforniaCenter for Software Engineering
Outline• Background on CSE, COSYSMO, and
COCOMO II• COSYSMO Overview
– Operational concept and scope– Prototype demo
• Model Progress to Date– Front end sizing and drivers – Full life cycle sizing and drivers
• Calendar of activities/milestones• Action items• How can the CAB help?
INCOSE CAB BriefingNovember 2002
USC
C S E University of Southern CaliforniaCenter for Software Engineering
Parametric Cost Model Critical PathUsual # Months*
6 Converge on cost drivers, WBS
6 Converge on detailed definitions and rating scales
12 Obtain initial exploratory dataset (5-10 projects)
6 Refine model based on data collection & analysis experience
12+ Obtain IOC calibration dataset (30 projects)
9 Refine IOC model and tool
Critical Path Task
*Can be shortened and selectively overlapped
INCOSE CAB BriefingNovember 2002
USC
C S E University of Southern CaliforniaCenter for Software Engineering
Calendar of Activities: 2003(opportunities to accelerate tasks)
Telecon
2003 2004
INCOSE 2003
USC CSE Annual Research Review
INCOSEFall Workshop COCOMO Forum
Practical Software & Systems Measurement Workshop
Conference on Systems Integration
D J F M A M J J A S O N D
Paper & tutorial
submitted
Practical Software & Systems Measurement Workshop
INCOSE CAB BriefingNovember 2002
USC
C S E University of Southern CaliforniaCenter for Software Engineering
Action Items from Last Week1. Develop a project Plan2. Address technology maturity/obsolescence3. Refine driver definitions to incorporate
ISO/IEC 15288 definitions4. Incorporate System and People idea5. Refine drivers applicability matrix6. Develop data collection strategy7. Generate Data Collection Form8. Update Stakeholder Cohesion to include
diversity, identification and trust
INCOSE CAB BriefingNovember 2002
USC
C S E University of Southern CaliforniaCenter for Software Engineering
Outcomes From Last Week’s Workshop
• Reach consensus on resolving the issues
• Converge on scope of COSYSMO-IP model
• Address INCOSE issues• Address definitions of model
parameters• Discuss data collection process• Promote involvement by Affiliates• Define next steps for CSI and INCOSE
conferences
INCOSE CAB BriefingNovember 2002
USC
C S E University of Southern CaliforniaCenter for Software Engineering
How can the CAB help?• Model Calibration Data
– COSYSMO IOC will be delivered within 9 months of having 30 “clean” data points
• Commitment of resources to assist with model and data definition and collection
• Your support for our proposal to INCOSE SECOE
• Help in obtaining lead participants from other INCOSE Corporate Members
• Establish COSYSMO “owner” within INCOSE– Measurement Working Group willing
• Data, Data, Data
INCOSE CAB BriefingNovember 2002
USC
C S E University of Southern CaliforniaCenter for Software Engineering
Key Members of the COSYSMO Working Group
Karen Owens, Marilee WheatonEvin StumpGarry Roedler, Gary HafenGary Thomas, John RieffTony Jordano, Don GreenleeChris MillerMarilee WheatonCheryl JonesBarry Boehm, Elliot Axelband,
Don Reifer, Ricardo Valerdi
Aerospace Corp.Galorath
LMCORaytheon
SAICSPCTRW
US Army/PSSMUSC
INCOSE CAB BriefingNovember 2002
USC
C S E University of Southern CaliforniaCenter for Software Engineering
Points of ContactDr. Barry Boehm[[email protected]]
Dr. Elliot Axelband[[email protected]]
Don Reifer[[email protected]]
Ricardo Valerdi[[email protected]]
Websitehttp://sunset.usc.edu
INCOSE CAB BriefingNovember 2002
USC
C S E University of Southern CaliforniaCenter for Software Engineering
Backup Charts
INCOSE CAB BriefingNovember 2002
USC
C S E University of Southern CaliforniaCenter for Software Engineering
USC-CSE Research ($10M backlog)
• DARPA/Army: Model applications and extensions for Future Combat Systems
• DARPA: Architectures for mobile distributed systems (DASADA)
• FAA: Acquisition processes; COCOMO security extensions
• NASA: Empirical methods for High Dependability Computing
• NSF: Center for Empirically-Based Software Engineering (with U. of Maryland)
• NSF: Strategic Design (with CMU, Virginia, Washington)
• Industry Affiliates’ program
INCOSE CAB BriefingNovember 2002
USC
C S E University of Southern CaliforniaCenter for Software Engineering
General Affiliate Benefits• Affiliates-only Web portal
– Early access to tools, methods, papers, talks, student resumes
• Tools: COCOMO Suite, Architecture tools, WinWin• Technical Report series• Workshops on Affiliate-prioritized topics• Annual Research Review and Steering Group
meeting• Annual one-day professor-visit• Bilateral visit arrangements; internships• Conferences and special workshops• Monthly LA SPIN meetings• Tutorials and eWorkshops
INCOSE CAB BriefingNovember 2002
USC
C S E University of Southern CaliforniaCenter for Software Engineering
Collaboration Modes and Special Benefits• Software architecting assistance
-Aerospace, Hughes, JPL, Northrop Grumman, TACOM, TRW, Xerox
• Software process/cost/quality/cycle time assistance-Aerospace, Litton, Microsoft, Northrop Grumman, Raytheon, SAIC, Sun, TACOM, TRW, Xerox
• Management reviews of critical projects-Litton, Motorola, SAIC, SEI, TRW
• Reviews of corporate research programs-Daimler Chrysler, Draper Labs, Lockheed Martin, SAIC, SEI, SPC, Telcordia, TRW
• Joint research contracts-Aerospace, Lockheed Martin, Northrop Grumman, SEI, SPC, TRW
• Aid in commercializing USC-CSE research -C-Bridge, Galorath, Group Systems.com, Marotz, Price Systems, Rational
INCOSE CAB BriefingNovember 2002
USC
C S E University of Southern CaliforniaCenter for Software Engineering
Collaboration Modes and Special Benefits - II
• Special Projects-Aerospace, Auto Club, FAA, Fidelity, IBM, JPL, Litton, Northrop Grumman, Telcordia
• Joint workshops on key topics-Aerospace, Motorola, Rational, DOD/SIS, SEI, SPC
• Focused working groups (COSYSMO) -Aerospace, Galorath, Lockheed Martin, Raytheon, SAIC, SPC, TRW
• Visiting collaborators-Aerospace, Chung-Ang, C-Bridge, IBM, JPL, Litton, Northrop Grumman, SEI, TRW
• Corporate State-of-the-art tutorials-Boeing, Chung-Ang, Daimler Chrysler, Draper, EDS, FAA, Fidelity, IBM, JPL, Litton, Lockheed Martin, Lucent, Motorola, Microsoft, Raytheon, SAIC, SEI, SPC, Sun, TRW, Xerox