A Technical History of the SEI

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Quality Attributes The Challenge: Meet the Non-Functional Requirements of Software Systems In the early 1990s, there did not exist a structured and repeatable way of analyzing tradeoffs among the non-functional requirements, or quality attributes, of a system. 60 Analysis of such tradeoffs was ad hoc and intuitive, and there was not a way for system developers to explain to other stakeholders in their organizations why they thought their proposed systems were appropriate or superior to other system designs or architectures for achieving desired quality attributes. This problem for software developers was articulated by Boehm as early as 1978 [Boehm 1978]: Finally, we concluded that calculating and understanding the value of a single overall metric for software quality may be more trouble than it is worth. The major problem is that many of the individual characteristics of quality are in conflict; added efficiency is often purchased at the price of portability, accuracy, understandability, and maintainability; added accuracy often conflicts with portability via dependence on word size; conciseness can conflict with legibility. Users generally find it difficult to quantify their preferences in such conflict situations. A Solution: Focus on Tradeoffs Among Quality Attributes The SEI recognized, in the early 1990s, that architecture-like thinking was evolving in various SEI efforts and decided to devote attention to the emerging discipline of architecture-centric engineering by creating a focus on software architecture. The idea that quality attributes influence the shape of the architecture, and that the architecture is fundamental to the system, emerged from SEI work in rate monotonic analysis (RMA). Initially, SEI staff members worked on the theory of scheduling, and on making scheduling theory practical by modifying runtime systems and compilers. Later, this work led to the realization that scheduling theory could be used to analyze systems as well as to build them—that the structure of a system can be looked at critically from the point of view of realtime scheduling, yielding valuable insights about predicted system behavior. In this way, SEI work in real-time systems evolved from scheduling to analysis. The notion of considering systems from an analytic point of view, and how such a consideration gives insight into structure, was the key insight that emerged from RMA; the analytical framework that RMA provided led to structuring principles for how to design and analyze real-time systems. By analogy, SEI staff members realized that such a framework could be applied to every other important quality attribute, leading to the conclusion that quality attributes are the dominant influence on architecture. From the early days of this work, SEI staff members decided that architecture is about making tradeoffs among various quality attributes, including performance, security, modifiability, reliability, and usability, system qualities that cannot be achieved without a unifying architectural vision. Architecture came to be seen and used as an artifact for early analysis to make sure that a design approach will yield an acceptable system. SEI researchers also concluded that quality attributes are the dominant influence on scheduling, and on making scheduling theory practical by modifying runtime sys- 60 Non-functional requirements describe characteristics (qualities) of a system—that is, how it should be—in contrast to functional requirements, which describe behaviors (functions) of a system—what it should do. CMU/SEI-2016-SR-027 | SOFTWARE ENGINEERING INSTITUTE | CARNEGIE MELLON UNIVERSITY 255 Distribution Statement A: Approved for Public Release; Distribution is Unlimited.
tems and compilers. Later, this work led to the realization that scheduling theory could be used to analyze systems as well as to build them—that the structure of a system can be looked at critically from the point of view of real-time scheduling, yielding valuable insights about predicted system behavior. Developing systematic ways to relate the software quality attributes of a system to the system’s architecture provides a sound basis for making objective decisions about design tradeoffs and enables engineers to make reasonably accurate predictions about a system’s attributes that are free from bias and hidden assumptions. The ultimate goal was the ability to quantitatively evaluate and trade off multiple software quality attributes to arrive at a better overall system [Barbacci 1995]. Toward this goal, the SEI developed the Architecture Tradeoff Analysis Method (ATAM), described in the next section, and the Quality Attribute Workshops (QAWs) [Barbacci 2003a], a method for identifying architecturecritical quality attributes before there is a software architecture to which the ATAM can be applied. Since the development of these methods, a focus on quality attributes has been a consistent theme and emphasis of SEI work in software architecture. The Consequence: Quality Attributes Reliably Identified, Added to Specifications SEI staff members tested and validated this insight into the primacy of quality attributes in their early experiences conducting architecture evaluations. Whether they were evaluating a financial system or an avionics system, conversant in the domains but not expert, they succeeded in finding risks by evaluating the systems from the point of view of different quality attributes. This experience validated the idea that modifiability principles, real-time principles, or reliability principles apply independently of domain—whether the system being evaluated is a car or an aircraft. The SEI Contribution A lasting influence of the SEI work in the field of software architecture and software development can be seen in the pervasive attention paid to quality attributes and a general acknowledgment that requirements specifications need to include them. Questions of how secure, timely, reliable, and usable systems must be are now fundamental components of the processes used in all software development projects. References The View from Others Over the last 15 years, the SEI has become a sort of mecca for software architecture—a place where anyone who is doing any work related to software architecture must go.” – Phillippe Kruchten, University of British Columbia and developer of the Rational Unified Process (RUP) [SEI 2008] [Abowd 1996] Abowd, Gregory; Bass, Len; Clements, Paul; Kazman, Rick; Northrop, Linda; & Zaremski, Amy. Recommended Best Industrial Practice for Software Architecture Evaluation (CMU/SEI-96-TR-025). Software Engineering Institute, Carnegie Mellon University, 1997. http://resources.sei.cmu.edu/library/asset-view.cfm?AssetID=12653 CMU/SEI-2016-SR-027 | SOFTWARE ENGINEERING INSTITUTE | CARNEGIE MELLON UNIVERSITY 256 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
Page 233 and 234: The SEI Contribution The SEI recogn
Page 235 and 236: CASE Environments The Challenge: Ma
Page 237 and 238: 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 286 and 287: [Barbacci 1995] Barbacci, Mario; Kl
Page 288 and 289: The Consequence: Effective Evaluati
Page 290 and 291: [Gallagher 2000] Gallagher, Brian.
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
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REPORT DOCUMENTATION PAGE Form Appr
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A Technical History of the SEI

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