Senior Member of Technical Staff
Transitioning performance improvement technologies into practice through, consulting, coaching, training, and applied research. Kasunic's areas of expertise include performance measurement, empirical analysis, project management best practices, and software engineering methods and techniques for improving developer's quality and schedule performance..
Project lead for the Checkpoint Diagnostic, a method for developing a quantitative performance baseline of a software project.
Coach software project managers and team members in planning, estimating, and tracking quality and schedule performance.
Mentor and coach executives in organizational performance measurement.
Conduct empirical research in software engineering project performance.
Project lead and principle developer of the Measurement and Analysis Infrastructure Diagnostic (MAID).
Project manager of the Performance Benchmarking Consortium which was an international research program addressing the definition and collection of software project performance measurement data.
Conduct empirical research on topics related to (a) software project performance and (b) anomaly detection in large data repositories.
Retained as an expert witness in Measurement & Analysis (M & A) in a class action civil suit of employees against a Fortune 500 company. Conducted detailed data analysis and authored a report that supported findings.
Testified as an expert witness (experimental design and statistical analysis) in court proceedings involving the revocation of a physician’s license to practice cardiac surgery.
Kasunic has an extensive list of technical publications and conference presentations addressing software engineering, empirical data analysis, and measurement. Before joining the SEI, Kasunic was an engineer and manager at Boeing in Seattle.
Kasunic has a Masters Degree in Systems Engineering, is a senior member of IEEE and a member of the Project Management Institute (PMI). Kasunic is a certified Team Software Process (TSP) Mentor Coach and a certified Scrum Master.
Kasunic, Mark and Nichols, William. When Measurement Benefits the Measured. (Webinar). Software Engineering Institute, Carnegie Mellon University, 2014.Software Engineering Institute, Carnegie Mellon University, April, 2014. http://resources.sei.cmu.edu/library/asset-view.cfm?assetid=295795
Kasunic, Mark and Stoddard, Robert. Software Reliability Engineering: The Landscape. White Paper (DM-0000976). https://www.dropbox.com/s/g9x57gu805vzdd2/Software%20Reliability%20-%20The%20Landscape%20-%2002-06-2014.docx?dl=0
Kasunic, Mark. An Empirical Study of Software Engineering Results. 2013 TSP Symposium, Dallas, TX. http://www.sei.cmu.edu/tspsymposium/past-proceedings/2013/SEI%20Interactive-Empirical%20Study%20of%20SW%20Engineering%20Results.pdf
Kasunic, Mark, McCurley, James, Goldenson, Dennis, and Zubrow, David. An Investigation of Techniques for Detecting Data Anomalies in Earned Value Management Data. (CMU/SEI-2011-TR-027). Software Engineering Institute, Carnegie Mellon University, 2011. http://resources.sei.cmu.edu/library/asset-view.cfm?assetid=10053
Kasunic, Mark, Zubrow, David, and Harper, Erin. Issues and Opportunities for Improving the Quality and Use of Data in the Department of Defense (CMU/SEI-2011-SR-004). Software Engineering Institute, Carnegie Mellon University, 2011. http://resources.sei.cmu.edu/library/asset-view.cfm?assetid=9713
Kasunic, Mark and Harper, Erin. Evaluating and Improving Information Quality. Journal of Software Quality, 14, 3 (August 2011). https://www.csiac.org/sites/default/files/journal_files/stn14_3%20.pdf
Kasunic, Mark. Measurement and Analysis Infrastructure Diagnostic, Version 1.0: Method Definition Document (CMU/SEI-2010-TR-035). Software Engineering Institute, Carnegie Mellon University, 2010.
Kasunic, Mark. A Data Specification for Software Project Performance Measures: Results of a Collaboration on Performance Measurement (CMU/SEI-2008-TR-012). Software Engineering Institute, Carnegie Mellon University, 2008. http://www.sei.cmu.edu/publications/documents/08.reports/08tr012.html
Kasunic, Mark. “Avoiding the Road to Abilene: Sharing Total Systems Performance Responsibility.” Software Engineering Process Group Conference. Austin, TX, March 2007.
Kasunic, Mark. Designing an Effective Survey (CMU/SEI-2005-HB-004). Software Engineering Institute, Carnegie Mellon University, 2004.
For a complete list of Kasunic's publications, see: