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Domain-Oriented Modeling, Estimation and Improvement for Aerospace. Jairus Hihn Jet Propulsion Laboratory, California Institute of Technology. November 2, 2011 26 th International Forum on COCOMO and Systems/Software Cost Modeling. Background. JPL is a FFRDC for NASA operated by Caltech

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jairus hihn jet propulsion laboratory california institute of technology

Domain-Oriented Modeling, Estimation and Improvement for Aerospace

Jairus HihnJet Propulsion Laboratory, California Institute of Technology

November 2, 2011

26th International Forum on COCOMO

and

Systems/Software Cost Modeling

background
Background
  • JPL is a FFRDC for NASA operated by Caltech
  • JPL is a highly decentralized organization that allows great autonomy to its project managers at all levels
  • JPL’s Engineering and Science Directorate (3000 people) has twice been certified at CMMI ML 3 (2007, 2010)
    • Approximately 1000 people ($253M/year budget) in the software community
  • This raises the question
    • How do we do it
    • How do we measure it?
  • We turn process sins into virtues
data sources
Data Sources
  • Data Sources
    • Metrics Collection at Key Milestones
    • Software Inventory (2006, 2007, 2009 and 2011)
    • Process performance measures (Tailoring Record, Work Product Checklist)
    • Defect tracking systems (PRS, ISA, AAMS, local databases)
    • SQI Surveys and Contact Log
    • Product and Process Quality Assurance Activities
    • Customer Feedback
  • Communicate results as widely as possible
    • State of Software Report
    • Noontime seminars
    • Section manager meetings

3

measuring process performance
Measuring Process Performance
  • Overall performance is used to establish baselines
  • Identifying the least performed activities provides a short list from which stakeholders can be engaged to discuss process improvement opportunities.
  • Metrics use is one of the least performed activities
jpl cost and planning models
JPL Cost and Planning Models
  • Collect data at major milestones for mission critical and mission support software
    • Labor intensive requiring numerous interviews
      • MSL flight software required 30-35 interviews
  • Enables us to
    • Calibrate cost models
    • Develop effort by role
      • use to do schedule models but they no longer work
    • Effort growth from PDR
    • Cost to repair defects
    • Size growth
  • Enables cost research
    • Data mining models developed with Tim Menzies (WVU)
baselines and trends
Baselines and Trends

Project Flight Software

  • How are we doing?
    • Trends Suggest Improvements in process discipline
    • Projects following a disciplined process exhibit below average budget growth and higher productivity rates

6

nasa software cost improvement task
NASA Software Cost improvement Task

Year 1: Establish Process and Product Baseline

  • Product: Report that documents current state of practice at NASA with set of improvement recommendations and recommended metrics.

Year 2:

  • Core team works to facilitate the implementation of high priority recommendations across the Agency through a tailorable Agency-wide process. Institute a cost metrics repository to gather information on cost estimate accuracy and cost estimation processes.

Year 3:

  • Initiate a series of annual reports on NASA software cost estimation accuracy and cost estimation practices.
    • Continue to monitor and make recommendations
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