Software Engineering Institute | Carnegie Mellon University
Software Engineering Institute | Carnegie Mellon University

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2017 SEI Year in Review Resources

  • Rsources for further information on topics discussed in the 2017 SEI Year in Review
  • Publisher: Software Engineering Institute
  • Why Does Software Cost So Much? Toward a Causal Model (March 2017) March 2017 Author(s): Robert W. Stoddard, Michael D. Konrad, William Nichols, David Danks (Carnegie Mellon University), Kuh Zhang (Carnegie Mellon University) This presentation shares early research results that may confirm some well-known drivers of DoD software cost and debunk others.
  • Common Sense Guide to Mitigating Insider Threats, Fifth Edition December 2016 Author(s): Matthew L. Collins, Michael C. Theis, Randall F. Trzeciak, Jeremy R. Strozer, Jason W. Clark, Daniel L. Costa, Tracy Cassidy, Michael J. Albrethsen, Andrew P. Moore Presents recommendations for mitigating insider threat based on CERT's continued research and analysis of over 1,000 cases.
  • Quantifying Uncertainty in Early Lifecycle Cost Estimation (QUELCE) December 2011 Author(s): Robert Ferguson, Dennis Goldenson, James McCurley, Robert W. Stoddard, David Zubrow, Debra Anderson The method of quantifying uncertainty described in this report synthesizes scenario building, Bayesian Belief Network (BBN) modeling and Monte Carlo simulation into an estimation method that quantifies uncertainties, allows subjective inputs, visually depicts influential relationships among program change drivers and outputs, and assists with the explicit description and documentation underlying an estimate.
  • DoD Software Factbook December 2015 Author(s): Brad Clark, James McCurley, David Zubrow This DoD Factbook is an initial analysis of software engineering data from the perspective of policy and management questions about software projects.
  • Ultra-Large-Scale Systems: The Software Challenge of the Future June 2006 Author(s): Peter H. Feiler, Kevin Sullivan (University of Virginia), Kurt C. Wallnau, Richard P. Gabriel (Sun Microsystems), John B. Goodenough, Richard C. Linger (Oak Ridge National Laboratory), Thomas A. Longstaff, Rick Kazman, Mark H. Klein, Linda M. Northrop, Douglas Schmidt (Vanderbilt University) Ultra-Large-Scale Systems: The Software Challenge of the Future is the product of a 12-month study of ultra-large-scale (ULS) systems software.
  • Using Serious Games October 2016 Author(s): Rotem D. Guttman Leveraging: Cyber Kinetic Effects Integration (CKEI)
  • Real-Time Extraction of Heart Rate from Video July 2017 Author(s): Satya Venneti This technical sheet details our project to extract heart rate from commodity video in real time.
  • Micro-Expressions: More than Meets the Eye October 2017 Author(s): Satya Venneti, Oren Wright Presentation on research to build an accurate, automatic micro-expression analysis prototype that outperforms humans in spotting and recognizing facial micro-expressions in near real time
  • Measuring Performance of Big Learning Workloads October 2017 Author(s): Scott McMillan Poster on research to build a performance measurement workbench with tools to measure and report performance of large-scale ML platforms
  • Why did the robot do that? October 2016 Author(s): Stephanie Rosenthal Why did the robot do that?
  • What will the Robot do Next? October 2017 Author(s): Jonathan Chu Presentation on research to build algorithms that allow robots to explain their behaviors to users and adapt their behavior during execution to enable users to accurately predict what they will do next
  • Certifiable Runtime Assurance of Distributed Real-Time Systems January 2017 Author(s): Sagar Chaki, Dionisio de Niz This paper presents two challenge problems guiding research on developing a provably correct approach for runtime assurance of distributed real-time embedded systems.
  • The CERT Guide to Coordinated Vulnerability Disclosure August 2017 Author(s): Allen D. Householder, Garret Wassermann, Art Manion, Christopher King This guide provides an introduction to the key concepts, principles, and roles necessary to establish a successful Coordinated Vulnerability Disclosure process. It also provides insights into how CVD can go awry and how to respond when it does so.
  • Events, Relationships, and Script Learning for Situational Awareness October 2017 Author(s): Edwin J. Morris Poster for research into using machine learning to extract patterns from high volumes of textual data
  • Department of Defense Software Factbook July 2017 Author(s): Brad Clark, Christopher Miller, James McCurley, David Zubrow, Rhonda Brown, Mike Zuccher (No Affiliation) In this report, the Software Engineering Institute has analyzed data related to DoD software projects and translated it into information that is frequently sought-after across the DoD.
  • Why Does Software Cost So Much? Towards a Causal Model October 2017 Author(s): Robert W. Stoddard, Michael D. Konrad Poster on research to build an actionable, full causal model of software cost factors
  • Cyber Affordance Visualization in Augmented Reality October 2017 Author(s): Josh Hammerstein, Jeff Mattson Poster on research to integrate cyber effects into tactical decision-making for soldiers
  • Design Pattern Recovery from Malware Binaries Poster (SEI 2015 Research Review) October 2015 Author(s): Samuel M. Weber This poster displays three tools for static analysis.
  • CERT BFF: From Start to PoC June 2016 Author(s): Will Dormann This presentation describes the CERT Basic Fuzzing Framework (BFF) from start to PoC.
  • Automated Code Repair Based on Inferred Specifications November 2016 Author(s): William Klieber, William Snavely In this paper, the authors describe automated repairs for three types of bugs: integer overflows, missing array bounds checks, and missing authorization checks.