A Technical History of the SEI

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[Gallagher 2000] Gallagher, Brian. Using the Architecture Tradeoff Analysis Method to Evaluate a Reference Architecture: A Case Study (CMU/SEI-2000-TN-007). Software Engineering Institute, Carnegie Mellon University, 2000. http://resources.sei.cmu.edu/library/asset-view.cfm?AssetID=5109 [Jones 2001] Jones, Lawrence & Lattanze, Anthony. Using the Architecture Tradeoff Analysis Method to Evaluate a Wargame Simulation System: A Case Study (CMU/SEI-2001-TN-022). Software Engineering Institute, Carnegie Mellon University, 2001. http://resources.sei.cmu.edu/library/asset-view.cfm?AssetID=5535 [Kazman 1994] Kazman, R.; Abowd, G.; Bass, L.; & Webb, M. “SAAM: A Method for Analyzing the Properties of Software Architectures,” 81-90. Proceedings of the 16th International Conference on Software Engineering. ICSE 16, Sorrento, Italy, May 1994. [Kazman 1996] Kazman, R.; Abowd, G.; Bass, L.; & Clements, P. “Scenario-Based Analysis of Software Architecture.” IEEE Software 13, 6 (November 1996): 47-55. [Kazman 1998] Kazman, R.; Klein, M.; Barbacci, M.; Longstaff, T.; Lipson, H. & Carriere, J. “The Architecture Tradeoff Analysis Method,” 68-69. Proceedings of the 4th IEEE International Conference on Engineering of Complex Computer Systems (ICECCS 98). Monterey, CA, August 10-14, 1998. IEEE Computer Society, 1998. [Kazman 1999] Kazman, Rick; Barbacci, Mario; Klein, Mark; Carriere, S. Jeremy; & Woods, Steven G. “Experience with Performing Architecture Tradeoff Analysis,” 54-63. Proceedings of the International Conference on Software Engineering (ICSE). Los Angeles, CA, May 16-22, 1999. IEEE, 1999. [Kazman 2000] Kazman, Rick; Klein, Mark; & Clements, Paul. ATAM: Method for Architecture Evaluation (CMU/SEI-2000-TR-004). Software Engineering Institute, Carnegie Mellon University, 2000. http://resources.sei.cmu.edu/library/asset-view.cfm?AssetID=5177 [Kazman 2001] Kazman, R.; Asundi J.; & Klein, M. “Quantifying the Costs and Benefits of Architectural Decisions,” 297-306. Proceedings of the 23 rd International Conference on Software Engineering (ICSE 2001). May 12-19, 2001. IEEE Computer Society, 2001. [SEI 2009] Software Engineering Institute. “Army Commitment to Strategic Software Improvement Grows,” 17. 2008 Year in Review. Software Engineering Institute, Carnegie Mellon University, 2009. [SEI 2010] Software Engineering Institute. “Army Requires PEOs to Appoint Chief Software Architect,” 20. 2009 Year in Review. Software Engineering Institute, Carnegie Mellon University, 2010. CMU/SEI-2016-SR-027 | SOFTWARE ENGINEERING INSTITUTE | CARNEGIE MELLON UNIVERSITY 261 Distribution Statement A: Approved for Public Release; Distribution is Unlimited.
Feature-Oriented Domain Analysis The Challenge: Achieve Cost Reductions By Means of Software Reuse A 1993 report by the Government Accounting Office 61 [GAO 1993] cited a comprehensive effort to incorporate software reuse practices into the DoD’s software development efforts. Reuse was viewed as a way to manage software costs, which in 1993 exceeded $24 billion a year, and to improve the DoD’s ability to develop and maintain high-quality software. In practice, however, the promise of software reuse had not been realized. The report stated that “methodologies to implement reuse have not been fully developed, tools to support a reuse process are lacking, and standards to guide critical software reuse activities have not been established” [GAO 1993, p. 1]. One of the technical issues cited in the GAO report was that the variation in the domains in which software reuse was being attempted was proving intractable. Standard methods were needed to process information about domains—“domain analysis”—the purpose of which is “to generalize common features in similar application areas, identify the common objects and operations in these areas, and define and describe their relationships.” A Solution: Feature-Oriented Domain Analysis The View from Others An examination of the proceedings from the Software Product Lines Conference (SPLC) over its 16-year history shows a preponderance of papers that refer to FODA and domain analysis. FODA has proven to be a fruitful research area, and FODA and variation/variability analysis have been the most common themes at SPLC. At this time, the SEI was working with an Army program called Army Tactical Command and Control System (ATCCS) [Williamson 2005] that had five separate programs supporting five function areas: maneuver control, air defense, combat service support, intelligence/electronic warfare, and fire support. Seeking to identify isolated areas with common requirements shared by these programs, the SEI identified “domains,” or specific areas of knowledge. An SEI staff member on this project proposed the idea of “features” based on experience at AT&T, where equipment builds were classified by their features. For example, for switches, some would be automatic, some would be manual, etc. Features would be the way to analyze the common characteristics of a domain, prior to formal requirements engineering. The SEI pioneered this idea of features and developed a methodology that it called “feature-oriented domain analysis,” or FODA [Kang 1990]. The SEI saw a domain as a special area of knowledge, and characterized large-scale systems as comprising several domains. The Army asked the SEI to look at movement control—route planning, scheduling, and deconfliction, to ensure that, for example, a road would not be taken up by two different vehicles at the same time. Movement control was attractive to the Army because it is a domain that applied to many of the ATCCS systems. The SEI described movement control as a domain, identifying commonalities about how units were handled and organized, how routes were planned and convoys scheduled, etc. After conducting this domain analysis, the SEI developed a 61 Now known as the Government Accountability Office. CMU/SEI-2016-SR-027 | SOFTWARE ENGINEERING INSTITUTE | CARNEGIE MELLON UNIVERSITY 262 Distribution Statement A: Approved for Public Release; Distribution is Unlimited.
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A Technical History of the SEI Larr
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Table of Contents Foreword Preface
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The Consequence: Undergraduate Soft
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References 131 Expanding the CMMI P
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The Challenge: Configuration Suppor
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References 275 Operational Support
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Foreword Angel Jordan University Pr
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to the SEI on a part-time basis as
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Blaise Durante Deputy Assistant Sec
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synergy between the TRA team’s ob
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Preface This report chronicles the
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Abstract This report chronicles the
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1 Introduction CMU/SEI-2016-SR-027
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Introduction In December 1984, the
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promulgate use of modern techniques
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Interpreting the Charter In creatin
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of Defense and flag officers from t
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(CRADA) funding is available to exp
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Another effective mechanism has bee
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2 Real-Time Embedded Systems Engine
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Figure 3: Real-Time Embedded System
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Introduction to Real-Time Embedded
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in those developments. The SEI was,
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general-purpose techniques but with
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Summary DoD systems have traditiona
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Ada/Real-Time Embedded Systems Test
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enchmark. Results of testbed experi
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Distributed Ada Real-Time Kernel Th
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Ada Adoption Handbook The Challenge
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[Hefley 1992] Hefley, William; Fore
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processor utilization. The sample a
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References [AFSAB 1988] Air Force S
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also known as using simplicity to c
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Software for Heterogeneous Machines
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[Barbacci 1986b] Barbacci, Mario &
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The increase in processing capacity
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[Lakshmanan 2011] Lakshmanan, Karth
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analysis as well as model tuning fo
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References [Hansen 2004] Hansen, J.
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or asynchronous networked computer
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3 Education and Training CMU/SEI-20
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Figure 4: Education and Training Ti
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making materials available to allow
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course offering, while at other uni
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[DoD 1984] Statement of Work for Im
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The curriculum guidelines also sugg
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Undergraduate Software Engineering
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SEI adapted the Personal Software P
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Software Assurance Curriculum for C
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how they relate to business needs.
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Survivability and Information Assur
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The SEI curriculum and others’ co
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The CSEE conference series also bro
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CMU Master of Software Engineering
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Executive Education Program The Cha
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Professional Training The Challenge
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Education and Training Delivery Pla
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[Ardis 2005] Ardis, Mark. “An Inc
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practical for keeping content curre
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[Johnson 2012] Johnson, Col. Rivers
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4 Management CMU/SEI-2016-SR-027 |
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Figure 5: Management Timeline CMU/S
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Introduction to Management When the
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neering CMM [SEI 1995] to describe
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under SEI stewardship in 2009. Deve
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References [Averill 1993] Averill,
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[SEI 1995] A Systems Engineering Ca
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The SEI developed a more explicit m
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[Humphrey 1988] Humphrey, Watts; Sw
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opinion leaders and senior managers
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[Hayes 1995] Hayes, William & Zubro
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move from maturity level to maturit
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The People Capability Maturity Mode
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The SEI Contribution As is the case
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and security process improvement. T
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[Caralli 2004] Caralli, Richard. Ma
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4.6.2.1 CMMI Constellations For CMM
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ity and widespread use of the CMMI
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Expanding the CMMI Product Suite to
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key leaders within that organizatio
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The Smart Grid The Challenge: The N
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ecoming more widespread. As utiliti
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Continuous Risk Management training
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[Alberts 2009] Alberts, Christopher
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The principal motivator for the dev
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References [Carleton 2010] Carleton
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Measurement and Analysis The Challe
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Carnegie Mellon University, 2002. h
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activities. The final set of activi
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[Rombach 1989] Rombach, H. Dieter &
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5 Security CMU/SEI-2016-SR-027 | SO
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Figure 6: Security Timeline CMU/SEI
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Introduction to Security In the ear
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The CERT/CC helps guard against dev
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The SEI concern about risks posed t
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Teams (FIRST), which was formed in
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[Killcrece 2008] Killcrece, Georgia
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The CERT/CC built on its vast colle
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Malicious Code Analysis The Challen
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have put advanced tools in the hand
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Secure Coding The Challenge: Preven
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end, the SEI has developed training
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Network Situational Awareness The C
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In 2007, the Comprehensive National
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study. In 2011, the DoD began fundi
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[CSO 2004] CSO Magazine, in coopera
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People who work in small organizati
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[Violino 2010] Violino, Bob. “IT
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Since its initial development in 20
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References [Alberts 2005] Alberts,
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6 Software Engineering Methods CMU/
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Introduction to Software Engineerin
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were delivered to Army and Air Forc
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Configuration Management The Challe
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The SEI Contribution The SEI recogn
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CASE Environments The Challenge: Ma
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The SEI Contribution The CASE work
Page 239 and 240: Software Technology Reference Guide
Page 241 and 242: Reengineering The Challenge: Legacy
Page 243 and 244: [Bergey 1999] Bergey, John; Smith,
Page 245 and 246: 2. Influence is more important than
Page 247 and 248: [Brownsword 2004] Brownsword, Lisa;
Page 249 and 250: Developing Systems with Commercial
Page 251 and 252: The SEI Contribution When the SEI s
Page 253 and 254: [Tyson 2003] Tyson, Barbara; Albert
Page 255 and 256: system is safe); (2) evidence suppo
Page 257 and 258: 7 Architecture CMU/SEI-2016-SR-027
Page 259: 1984 1986 1988 1990 1992 1994 1996
Page 262 and 263: Introduction to Software Architectu
Page 264 and 265: cation description language, in the
Page 266 and 267: AFSC/ESD conducted a source selecti
Page 268 and 269: [Brown 1995] Brown, Alan; Carney, D
Page 270 and 271: Structural Modeling The Challenge:
Page 272 and 273: The SEI Contribution As a result of
Page 274 and 275: Federal Aviation Administration Stu
Page 276 and 277: evolving understanding of software
Page 278 and 279: The basic features of Serpent were
Page 280 and 281: Software Architecture Analysis Meth
Page 282 and 283: A survey of software architecture e
Page 284 and 285: Quality Attributes The Challenge: M
Page 286 and 287: [Barbacci 1995] Barbacci, Mario; Kl
Page 288 and 289: The Consequence: Effective Evaluati
Page 292 and 293: design with some variation built in
Page 294 and 295: Software Product Lines The Challeng
Page 296 and 297: A software product line curriculum.
Page 298 and 299: 8 Forensics CMU/SEI-2016-SR-027 | S
Page 300: Figure 8: Forensics Timeline CMU/SE
Page 303 and 304: Introduction to Computer Forensics:
Page 305 and 306: ultimate contribution of SEI digita
Page 307 and 308: The SEI’s experience with cases s
Page 309 and 310: Digital Intelligence and Investigat
Page 311 and 312: that not only apply to the specific
Page 313 and 314: 9 The Future of Software Engineerin
Page 315 and 316: A Vision of the Future of Software
Page 317 and 318: In each case, impact is achieved th
Page 319 and 320: e-estimation as a means to assess p
Page 321 and 322: and complexity of these systems are
Page 323 and 324: 10 Conclusion CMU/SEI-2016-SR-027 |
Page 325 and 326: Highlighting 30 Years of Contributi
Page 327 and 328: developed network situational aware
Page 329 and 330: Direct Support to Government System
Page 331 and 332: In the course of these reviews, the
Page 333 and 334: Appendix Authors Contributing to th
Page 335: REPORT DOCUMENTATION PAGE Form Appr
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A Technical History of the SEI

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