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Using “Industry-As-Laboratory” Case-Studies To Impact Industrial Practice

Using “Industry-As-Laboratory” Case-Studies To Impact Industrial Practice . Laurie Williams Assistant Professor North Carolina State University. Real Engineers - Real Projects - Real Impact. Basic Research Recognize problem, invent ideas. Concept Formulation Refine ideas, publish solutions.

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Using “Industry-As-Laboratory” Case-Studies To Impact Industrial Practice

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  1. Using “Industry-As-Laboratory” Case-Studies To Impact Industrial Practice Laurie Williams Assistant Professor North Carolina State University Real Engineers - Real Projects - Real Impact

  2. Basic Research Recognize problem, invent ideas Concept Formulation Refine ideas, publish solutions Development & Extension Try it out, clarify, refine Internal Exploration Stabilize, port, use for industrial-strength problems External Exploration Broaden user group, extend Popularization Propagate through community Software Technology Maturation Where’s the beef . . . . validation? Redwine, S. and Riddle, S., Software Technology Maturation, ICSE 1985.

  3. Basic Research Recognize problem, invent ideas Concept Formulation Refine ideas, publish solutions Development & Extension Try it out, clarify, refine Internal Exploration Stabilize, port, use for industrial-strength problems External Exploration Broaden user group, extend Popularization Propagate through community Software Technology Maturation State-of-art Impact researchers

  4. Basic Research Recognize problem, invent ideas Concept Formulation Refine ideas, publish solutions Development & Extension Try it out, clarify, refine Internal Exploration Stabilize, port, use for industrial-strength problems External Exploration Broaden user group, extend Popularization Propagate through community Software Technology Maturation Focus of case study-based research State-of-practice Impact practitioners

  5. Process/Technology Evaluation *-Evaluation Framework *-Context Factors (*-cf) *-Adherence Metrics (*-am) *-Outcome Measures (*-om) XP-EF  XP-cf; XP-am; XP-om RUP-EF  RUP-cf; RUP-am; RUP-om TSP-EFTSP-cf; TSP-am; TSP-om XP2-EF  XP2-cf; XP2-am; XP2-om

  6. Sabre: XP Context Factors(XP-cf)

  7. Subjective: Shodan Survey 76.7% Example survey at: http://agile.csc.ncsu.edu/survey/shodan_survey.html Objective Metrics Strive for a robust set of metrics that can be collected automatically Sabre-A results indicate an increase in XP use Sabre-A: XP-Adherence Metrics (XP-am)

  8. Sabre-A: XP-Outcome Measures (XP-om) Normalized values

  9. Challenges And Opportunities • Salience check • Finding partners, obtaining measures, timing of completion • Acceptance of research results • Industrial participation • N=1 • Support evidence-based software engineering • Impact on industrial practice

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